diff --git a/RO/cmd/ro/ro.go b/RO/cmd/ro/ro.go index 32a5ec3..a580523 100644 --- a/RO/cmd/ro/ro.go +++ b/RO/cmd/ro/ro.go @@ -29,8 +29,9 @@ type ItemT struct { } var ( - p = e.PanicErr - agent = "AhrefsBot/7.0" + p = e.PanicErr + //agent = "AhrefsBot/7.0" + agent = "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36" ) func exists(filename string) bool { diff --git a/collect.sh b/collect.sh index ac5acbd..48932b7 100755 --- a/collect.sh +++ b/collect.sh @@ -163,14 +163,57 @@ do | sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \ > $part-nieuwe-adjww-extra-$ds-$i - # ranglijsten + # kale tellingen - say $part-rang-$ds-$i + say $part-count-word-$ds-$i alto \ - 'fp://node[((@pt="n" or @neclass) and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass])]' \ - 'tt:%w\t%I' $files \ - | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq | rang \ - > $part-rang-$ds-$i + 'fp://node[(@pt and not(@pt="let" or @rel="mwp" or @neclass)) or (@cat="mwu" and not(.//node[@neclass]))]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \ + | sed -e 's/\t.*//' | uniq -c \ + | grep -v '^ *1 ' \ + | sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \ + > $part-count-word-$ds-$i + + say $part-count-loc-$ds-$i + alto \ + 'fp://node[(@neclass="LOC" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="LOC" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \ + | sed -e 's/\t.*//' | uniq -c \ + | grep -v '^ *1 ' \ + | sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \ + > $part-count-loc-$ds-$i + + say $part-count-per-$ds-$i + alto \ + 'fp://node[(@neclass="PER" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="PER" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \ + | sed -e 's/\t.*//' | uniq -c \ + | grep -v '^ *1 ' \ + | sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \ + > $part-count-per-$ds-$i + + say $part-count-org-$ds-$i + alto \ + 'fp://node[(@neclass="ORG" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="ORG" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \ + | sed -e 's/\t.*//' | uniq -c \ + | grep -v '^ *1 ' \ + | sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \ + > $part-count-org-$ds-$i + + say $part-count-misc-$ds-$i + alto \ + 'fp://node[(@neclass="MISC" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="MISC" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \ + | sed -e 's/\t.*//' | uniq -c \ + | grep -v '^ *1 ' \ + | sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \ + > $part-count-misc-$ds-$i done done diff --git a/oud/rang/collect-rang.sh b/oud/rang/collect-rang.sh new file mode 100644 index 0000000..d926424 --- /dev/null +++ b/oud/rang/collect-rang.sh @@ -0,0 +1,118 @@ +#!/bin/bash + +set -e + +unset CDPATH +PATH=/net/corpora/nlnieuws/bin:/net/aps/bin:$PATH +export TZ=Europe/Amsterdam + +verbose=0 +if [ "$1" = "-v" ] +then + shift + verbose=1 +fi + +say () { + if [ "$verbose" = "1" ] + then + echo "$*" + fi +} + +if [ "$1" = "" ] +then + ds=`date -d -7days +%G.%V` +else + case "$1" in + 2[0-9][0-9][0-9].[0-5][0-9]) + ds=$1 + ;; + *) + echo INVALID + exit 1 + ;; + esac +fi + +year=${ds%%.*} + +mkdir -p /net/corpora/nlnieuws/data/$year +mkdir -p /net/corpora/nlnieuws/data/json/$year +cd /net/corpora/nlnieuws/data/$year + +declare -A parts +#parts[alles]='.' +parts[algemeen]='NOS|NU|NieuwsNL|RO|Sargasso|Volkskrant' +#parts[amsterdam]='AT5|BuurtAdam|Parool' +#parts[groningen]='BuurtGrn|GG|Oog|RTVNoord|Sikkom' +#parts[literatuur]='LitNL|Tzum' +#parts[vlaanderen]='HLN|VRT' +#parts[AT5]='AT5' +#parts[BuurtAdam]='BuurtAdam' +#parts[BuurtGrn]='BuurtGrn' +#parts[GG]='GG' +#parts[HLN]='HLN' +#parts[LitNL]='LitNL' +#parts[NOS]='NOS' +#parts[NU]='NU' +#parts[NieuwsNL]='NieuwsNL' +#parts[Oog]='Oog' +#parts[Parool]='Parool' +#parts[RO]='RO' +#parts[RTVNoord]='RTVNoord' +#parts[Sargasso]='Sargasso' +#parts[Sikkom]='Sikkom' +#parts[Tzum]='Tzum' +#parts[Volkskrant]='Volkskrant' +#parts[VRT]='VRT' + +for part in ${!parts[@]} +do + regex=${parts[$part]} + + for i in 1 4 + do + files=$(find ../.. $(week2files $ds $i) | grep -E "$regex") || true + if [ -z "$files" ] + then + continue + fi + + say $part-rang-word-$ds-$i + alto \ + 'fp://node[(@pt and not(@pt="let" or @rel="mwp" or @neclass)) or (@cat="mwu" and not(.//node[@neclass]))]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq | rang \ + > $part-rang-word-$ds-$i + + say $part-rang-loc-$ds-$i + alto \ + 'fp://node[(@neclass="LOC" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="LOC" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq | rang \ + > $part-rang-loc-$ds-$i + + say $part-rang-per-$ds-$i + alto \ + 'fp://node[(@neclass="PER" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="PER" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq | rang \ + > $part-rang-per-$ds-$i + + say $part-rang-org-$ds-$i + alto \ + 'fp://node[(@neclass="ORG" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="ORG" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq | rang \ + > $part-rang-org-$ds-$i + + say $part-rang-misc-$ds-$i + alto \ + 'fp://node[(@neclass="MISC" and not(@rel="mwp")) or (@cat="mwu" and .//node[@neclass="MISC" ])]' \ + 'tt:%l\t%I' $files \ + | sed -e 's/\.[0-9][0-9]*$//' | sort | uniq | rang \ + > $part-rang-misc-$ds-$i + + done +done diff --git a/python/TODO.txt b/python/TODO.txt new file mode 100644 index 0000000..923a4c7 --- /dev/null +++ b/python/TODO.txt @@ -0,0 +1 @@ +python: notebook en pakketten installeren diff --git a/python/data.txt b/python/data.txt new file mode 100644 index 0000000..2194c8f --- /dev/null +++ b/python/data.txt @@ -0,0 +1,4762 @@ +A$AP Rocky 7 2 +A. 5 3 +A.C. Porter 2 0 +AI_Paul McCartney 2 0 +Aalbersberg 2 3 +Aaron Lukas 3 0 +Aartsen 3 6 +Abbas 5 0 +Abbas Araghchi 8 3 +Abbey Hoes 2 0 +Abdeluheb Choho 0 2 +Abdoulie Ceesay 2 0 +Abdul 2 0 +Abdulhamid 2 0 +Abelardo de la Espriella 2 3 +Abhijeet Dipke 0 4 +Abrams 2 0 +Abu-Bilal al-Minuki 4 0 +Abukeshek 5 0 +Achraf B. 0 2 +Achraf Hakimi 3 0 +Ackman 2 3 +Ackmans 2 0 +Action 2 0 +Acun Ilicali 2 0 +Adam 5 0 +Adam Curry 4 0 +Adam Fogelson 2 0 +Adam Jowett 3 0 +Adam Sandler 2 0 +Adam Yates 8 0 +Adam's Family 2 0 +Adele 3 0 +Ademola Lookman 2 0 +Adieu 0 2 +Adnan 2 0 +Adolf Eichmann 2 0 +Adolf Hitler 9 6 +Adriano Panatta 4 0 +Adrie Poldervaart 2 0 +Advocaat 28 7 +Advocatenkantoor Greenberg Traurig 4 0 +Adyen 2 0 +Aerdts 7 0 +Aerts 3 2 +Afellay 3 0 +Affleck 2 0 +Afhaalchinees 2 0 +Afonso Eulálio 16 0 +African Lion 3 0 +Afrojack 2 0 +Afshin Ellian 5 0 +AftF 2 0 +Agaath Witteman 0 2 +Agnès Callamard 3 0 +Ahmed Marcouch 5 21 +Ajax Leeftijd 2 0 +Aké 3 0 +Al 3 0 +Al Arabiya 2 0 +Al Fayed 2 0 +Al Hilal 4 0 +Al Nassr 5 0 +Aladdin 2 4 +Alan Burns 0 4 +Alan Carr 2 0 +Alan Soutar 2 0 +Alanis Morissette 3 0 +Alassane Pléa 2 0 +Albers 3 0 +Albert 5 5 +Albert Jan Swart 2 0 +Albert Kraus 2 0 +Albert Manifold 6 0 +Albert Riera 2 0 +Albert van Monaco 0 2 +Alberto Bettiol 2 0 +Alberto Contador 2 0 +Albuskjell 2 0 +Alec 3 0 +Alec Baldwin 4 0 +Alec Segaert 2 0 +Aleid Wolfsen 3 0 +Alejandro Fernandez 2 0 +Aleksandar Kovacevic 3 0 +Aleksandar Vucic 2 0 +Aleksander Ceferin 2 0 +Aleksandr Loekasjenko 3 0 +Aleksandr Vlasov 3 0 +Alessia Cara 3 0 +Aletta 2 0 +Alex Jenkinson 2 0 +Alex Klaasen 2 0 +Alex Kroes 3 0 +Alex Nievelsteijn 2 0 +Alex Warren 2 0 +Alex de Minaur 0 3 +Alexander 2 0 +Alexander Albon 2 0 +Alexander Djiku 0 2 +Alexander Dobrindt 0 2 +Alexander Isak 3 3 +Alexander Sørloth 3 0 +Alexander Zverev 24 18 +Alexandra 0 3 +Alexandra Capitanescu 3 0 +Alexandre Dumas 2 0 +Alexandre Müller 5 0 +Alexandria Ocasio-Cortez 3 0 +Alexandros Kyziridis 2 0 +Alexei Popyrin 3 0 +Alexey Ollynik 2 0 +Alexia 22 2 +Alfred Schreuder 4 0 +Ali 8 0 +Ali B 33 0 +Ali B. 11 0 +Ali Khamenei 4 3 +Alireza Jahanbakhsh 0 2 +Alix Wilton Regan 0 2 +All In 0 2 +Allahu Akbar 2 0 +Allegri 2 0 +Allen 6 0 +Alligator Alcatraz 2 0 +Alonso 6 2 +Alpe d'HuZes 2 0 +Alphabet 0 3 +Alphonso Davies 3 0 +Altman 2 2 +Alvaro 2 0 +Alyce Huckstepp 2 0 +Amal Clooney 3 0 +Amalia 30 3 +Amalienborg 2 0 +Amber Alert Europe 2 0 +Amber Gersjes 2 0 +American Football 2 0 +Amin Nasser 3 0 +Amir Ghalenoei 0 2 +Amir Rrahmani 2 0 +Amma Asante 2 0 +Amsterdam Bijlmer ArenA 5 0 +Amusement 0 2 +Amy Poehler 2 0 +Amy Winehouse 2 0 +Amélie Mauresmo 2 0 +Ana Carvalho 2 0 +Anass Salah-Eddine 5 3 +Anastasia Potapova 2 0 +Ancelotti 4 0 +Anderson 2 0 +Andic 6 0 +Andoni Iraola 2 3 +Andrea 2 0 +Andrea Pellegrino 4 0 +Andreas Leknessund 6 0 +Andreeva 0 4 +Andrej Roeblev 2 0 +Andrejeva 0 5 +Andrew 18 6 +Andrew Feldman 3 0 +Andrew Giuliani 2 0 +Andrew Malkinson 0 2 +Andrew Mountbatten-Windsor 12 6 +Andrew Puzder 2 0 +Andrew Robertson 0 2 +Andrew Tate 5 0 +Andrews 2 0 +Andrey Rublev 3 0 +Andri Jermak 3 0 +Andries B.V. 2 0 +Andries Herremans 2 0 +Andrii Sybiha 0 2 +Andris Kulbergs 2 0 +Andris Spruds 4 0 +Andris Sprūds 3 0 +André 3 0 +André Allen Anjos 2 0 +André Bolhuis 0 2 +André Hazes 6 0 +André Ooijer 3 0 +André Poortman 4 0 +André de Raaff 0 2 +André van Duin 4 0 +Andrée Jeglertz 2 0 +Andy 3 0 +Andy Burnham 8 0 +Andy Kim 2 0 +Andy Serkis 3 0 +Anema 2 0 +Angel Alarcón 2 0 +Angela Groothuizen 2 0 +Angela Merkel 4 0 +Angela Rayner 7 0 +Angelina Jolie 3 0 +Angliru 5 0 +Angéla Kramers 2 0 +Aniek Berendsen 0 3 +Anique Slijters 4 0 +Anira Orlando 2 0 +Anis Boumanjal 0 3 +Anis Hadj Moussa 6 4 +Anita 2 0 +Anita Heilker 2 0 +Anna 3 5 +Anna Danilina 0 2 +Anna Kalinskaja 0 3 +Anna Kendrick 0 2 +Anna Nooshin 2 0 +Anna Wintour 3 0 +Anna van Vliet 0 2 +Anna van der Breggen 13 16 +Annabel Nanninga 0 2 +Annabelle Wallis 2 0 +Annalise 2 0 +Anne 5 2 +Anne Frank 2 0 +Anne Hathaway 4 0 +Anne Romke van der H. 3 0 +Anne-Lot Hoek 0 2 +Annelotte Lammers 4 0 +Annelou van Noort 0 3 +Annemiek 0 2 +Annemiek Koekoek 0 2 +Annemiek van Vleuten 6 4 +Annemieke 2 0 +Annemieke Schollaardt 2 0 +Annemieke Waaldijk 2 2 +Annet Bertram 7 4 +Annie M.G. Schmidt 2 0 +Anouk 2 0 +Anouk Bruil 2 0 +Anouk Koevermans 3 0 +Anouk Maas 2 2 +Ansgar 2 0 +Antalyaspor 2 0 +Anthony Correia 11 0 +Anthony Descotte 2 0 +Anthony Gordon 2 0 +Anthony Head 0 4 +Anthony Joshua 8 0 +Antoine Fuqua 0 2 +Antoine Semenyo 6 0 +Antoinette Verbree 3 0 +Antoinette Verbrugge 2 0 +Anton Gaaei 2 0 +Antonelli 15 13 +Antoni Gaudí 0 2 +Antonia Niedermaier 0 8 +Antonio Conte 2 0 +Antonio Nusa 0 2 +Antonio Tajani 3 0 +Antoon 3 0 +António Costa 2 0 +António Guterres 4 0 +António Morgado 4 0 +Anya Taylor-Joy 2 0 +Aosta 3 0 +Apple Pay 0 4 +Apple Podcast 13 2 +Apple TV 7 0 +Apsara Investments 2 0 +Aramco 3 0 +Arantxa Rus 5 0 +Arbeloa 5 0 +Arcadia Lake 2 0 +Arend Jansen 2 0 +Arend Kisteman 5 0 +Arensman 26 0 +Aretha 4 0 +Aretha Franklin 6 0 +Ariana Grande 4 2 +Ariane 13 2 +Arib 2 6 +Arie Luyendyk 2 0 +Arizmendi 2 0 +Arjan Lock 2 0 +Arjan Veurink 3 11 +Arjen Robben 3 4 +Arjen van der Horst 4 0 +Arman Avsaroglu 2 0 +Armando Muis 3 0 +Armando Obispo 2 0 +Armin Papperger 2 0 +Armin van Buuren 0 2 +Armoede 5 0 +Arnaldi 6 4 +Arne Engels 2 0 +Arne Slot 25 8 +Arsenal Leeftijd 2 0 +Art Castle 2 0 +Artem Stepanov 4 0 +Arteta 9 0 +Arthur Fils 7 0 +Arthur Harari 2 0 +Arthur Zagre 2 0 +Arvid Lindblad 4 0 +Aryna Sabalenka 19 11 +Ashab al-Yamin 2 0 +Ashdod 3 0 +Ashley Roberts 2 0 +Asian Trekking 2 0 +Asiel 20 11 +Asim Munir 6 0 +Assad 6 2 +Assan Ouédraogo 0 2 +Astrid 6 0 +Astrid Eeuwes 2 0 +Astrid Holleeder 3 0 +Atalanta Leeftijd 2 0 +Atilay Uslu 3 0 +Atlanta Dream 3 0 +Atlético Mineiro 5 0 +Attal 2 0 +Attenborough 13 0 +Aubameyang 2 0 +Audemars Piguet 3 0 +Audra Mari 2 0 +August 2 0 +August Wöginger 2 0 +Augustus 0 2 +Augustusplatz 2 0 +Aurélien Tchouaméni 7 0 +Aus Greidanus jr. 2 0 +Axalta 3 0 +Axios 13 0 +Ayada K. 0 2 +Ayase Ueda 12 0 +Ayo Edebiri 2 0 +Ayoni Santos 4 0 +Ayoub El Kaabi 0 2 +B. 12 8 +BNT 2 0 +BN’ers 0 3 +Bab El Mandeb 0 2 +Babette van Veen 9 0 +Babis 2 0 +Babygirl 3 0 +Backhaus 2 0 +Backrooms 0 2 +Bad Bunny 5 0 +Bahrain Victorious 4 0 +Bajraktarevic 2 0 +Baker 2 0 +Baker Hughes 2 0 +Bakkati 2 0 +Bakker 3 0 +Baldoni 4 2 +Baldwin 3 0 +Ballerini 2 0 +Bamba 2 0 +Banana Republic 2 0 +Banco Master 2 0 +Bandar Abbas 5 0 +Bang Bang 3 0 +Bangaranga 8 0 +Banksy 2 0 +Barack Obama 9 0 +Barakah 2 0 +Barbabella 2 0 +Barbara Guarischi 2 0 +Barbara Palvin 2 0 +Barbie 0 2 +Barbra Streisand 4 0 +Bare Minimum 2 0 +Barrot 2 0 +Barry 3 0 +Barry Manilow 0 2 +Bart 0 2 +Bart De Wever 2 0 +Bart Lemmen 4 0 +Bart Schols 0 2 +Bart Swier 9 0 +Bart Verbruggen 10 13 +Bart van den Brink 58 17 +Bartina 0 3 +Bartina Koeman 2 2 +Bas 6 0 +Bas Eickhout 3 0 +Bas Muijs 0 3 +Bas Scharwachter 3 0 +Bas Tietema 2 0 +Bas Westerweel 11 0 +Bashar Al Assad 3 0 +Bashar al-Assad 3 0 +Bassirou Diomaye Faye 3 0 +Bauer 2 0 +Bayer Leverkusen Leeftijd 2 0 +Baz Luhrmann 2 0 +Beatle 2 0 +Beatrice 3 4 +Beatrix 6 4 +Beau van Erven Dorens 2 0 +Beaufort 2 2 +Beauty And A Beat 3 0 +Becerra 0 2 +Beckham 4 0 +Beeld & Geluid 4 4 +Beerensteyn 0 2 +Bella 4 0 +Ben 3 0 +Ben Affleck 3 0 +Ben Shelton 4 0 +Ben Smith 0 3 +Ben-Gvir 8 2 +Benedetto Vigna 3 0 +Benedict Cumberbatch 2 0 +Benjamin 2 0 +Benjamin Bonzi 2 0 +Benjamin Netanyahu 36 19 +Benjamin Tahirovic 2 0 +Benji Madden 2 0 +Benoît Cerexhe 2 0 +Bente Becker 3 0 +Beppie Kraft 3 0 +Beran A. 3 0 +Berendsen 43 5 +Berghuis 5 0 +Bernal 2 0 +Bernard Hinault 2 0 +Bernard Looney 2 0 +Bernard Sprenger 7 0 +Bernard van Gastel 0 2 +Bernardo Silva 4 0 +Bernhard 4 0 +Bernhard Z. 0 4 +Bernt Klaverboer 2 0 +Berrettini 0 2 +Bert 2 0 +Bert Colijn 2 0 +Bert Hubert 0 2 +Bert Natter 4 2 +Bert van Marwijk 3 0 +Bertha von Suttner 2 0 +Bertram 9 5 +Besselink 0 2 +Bessent 4 0 +Best 2 0 +Bettan 4 0 +Bette Midler 2 0 +Bettiol 2 0 +Beyer 0 2 +Beyoncé 12 4 +Bezalel Smotrich 3 0 +Bezos 6 0 +Bezzecchi 2 0 +Bicanic 0 3 +Biden 14 0 +Biggs 2 0 +Bijlmer Arena 2 0 +Bikker 0 6 +Bilal Wahib 2 0 +Biles 0 3 +Bill Ackman 2 4 +Bill Cassidy 4 0 +Bill Pulte 0 5 +Billboard 13 0 +Billed Bladet 0 2 +Billie Eilish 7 3 +Billy 3 0 +Billy Dans 0 2 +Billy Idol 2 0 +Billy Joel 3 0 +Bindels 2 0 +Bizot 2 0 +Bjorn Meijer 2 0 +Björk 0 2 +Blake Lively 4 2 +Blanche 2 2 +Blanchett 2 0 +Blasi 4 0 +Blauw 2 0 +Blauwe Lijn 2 0 +Blick 2 0 +Blind 2 0 +Block Blast 2 0 +Blockhaus 2 0 +Blom 2 0 +Blommestijn 3 0 +Blommestijns 2 0 +Blue Origin 5 3 +Bluesky 4 0 +Bob Dylan 3 4 +Bobby Lammers 2 0 +Bodies Bodies Bodies 2 0 +Boeing Boeing 3 0 +Boekholt 0 2 +Boekholt-O'Sullivan 5 2 +Boelhouwer 2 0 +Boeren 2 0 +Boersema 2 0 +Bogarde 2 0 +Bolle Jos 15 5 +Bolloré 5 0 +Bolsonaro 2 0 +Bondi 2 0 +Bonnie Tyler 6 0 +Bontenbal 3 0 +Booij 0 2 +Booking 2 0 +Boon 2 0 +Boos 5 0 +Boris Johnson 2 0 +Boris Kingma 2 0 +Boro 2 0 +Borsato 7 3 +Borst 2 0 +Bosman 3 0 +Bosschaart 3 0 +Bosz 8 0 +Bot 2 0 +Botic van de Zandschulp 31 0 +Boucles de la Mayenne 3 0 +Boudewijn de Groot 0 3 +Bouma 0 2 +Boumans 3 0 +Bounida 2 0 +Bournemouth Leeftijd 2 0 +Bouwman 2 0 +Bowie 2 0 +Boy George 2 0 +Boy Kemper 4 0 +BpfBOUW 2 0 +Brad Cooper 2 0 +Brad Pitt 5 0 +Brad Raffensperger 4 0 +Bradley Barcola 3 0 +Brahim Díaz 3 0 +Bram 2 0 +Bram Krikke 3 0 +Brand 2 2 +Brand New Day 2 0 +Brandley Kuwas 4 0 +Brandy 2 0 +Bredemeijer 2 0 +Bredewold 6 0 +Brekelmans 17 0 +Bret Michaels 3 0 +Brett Goldstein 0 3 +Brian Bouillon Baker 2 0 +Brian Brobbey 14 5 +Brian Priske 6 4 +Bridgers 0 2 +Bril 3 2 +Brinkman 2 0 +Britney Spears 5 0 +Brobbey 4 0 +Brom 2 0 +Brooke Rollins 2 0 +Brooks 3 0 +Brouwer 0 2 +Bruce Springsteen 6 2 +Bruce Willis 2 0 +Brugts 2 0 +Bruins 3 0 +Bruning 5 0 +Brunner 0 3 +Bruno Bruins 5 0 +Bruno Ciancio 2 0 +Bruno Fernandes 2 2 +Bruno Mars 4 0 +Bruno Mars - The Romantic 3 0 +Bruno Rodríguez 0 2 +Bryan Alberts 0 6 +Bryan Cranston 2 0 +Bryan Linssen 2 0 +Brücker 2 0 +Buddy Vedder 4 0 +Buendía 3 0 +Buffy 0 3 +Bukayo Saka 5 0 +Buma Cultuur 0 5 +Bunq 2 0 +Burkhard Jung 2 0 +Burna Boy 6 0 +Burns 0 4 +Busch 2 0 +Butler 2 0 +Byron Allen 3 0 +BöKKERS 2 0 +C+C Music Factory 3 0 +C. 9 2 +C. Cornell Evers 2 0 +C.C. Wei 0 2 +CBb 5 2 +CPL 2 0 +CTM TV 3 0 +Cabboort 0 2 +Cabernet Sauvignon 2 0 +Caesar 2 0 +Cage 2 0 +Caine 4 0 +Caio Collet 2 0 +Caitlin Dijkstra 4 0 +Calbee 2 0 +Callum Osmand 2 0 +Callum Turner 5 7 +Calum McFarlane 4 0 +Calvin Harris 2 0 +Cameron 3 2 +Cameron Diaz 2 0 +Camila Cabello 2 0 +Camilla Parker Bowles 2 0 +Camille Vanuxem 2 0 +Canatan 0 2 +Candan 0 4 +Cannes ere-Palm 2 0 +Capaldi 2 0 +Capgemini 0 2 +Cara 2 0 +Cara Delevingne 3 0 +Cardi B 4 0 +Carel 3 0 +Carice van Houten 0 4 +Carl Gustaf 6 5 +Carl Hoefkens 5 0 +Carl Philip 2 0 +Carla Wijnhoven 4 0 +Carline Brouwer 2 0 +Carlo Ancelotti 8 0 +Carlo Boszhard 2 0 +Carlos Alcaraz 32 7 +Carlos Queiroz 0 2 +Carola Schouten 8 0 +Carolina Pereira Marghidan 3 0 +Caroline 4 0 +Caroline Tensen 2 0 +Caroline van der Plas 4 6 +Carpenter 0 2 +Carreño Busta 2 0 +Carrie 3 3 +Carroll 3 0 +Carruthers 2 0 +Carry Knoops 0 2 +Carry Knoops-Hamburger 0 2 +Casparij 2 0 +Casper Ruud 14 2 +Casper van Uden 7 0 +Cassidy 2 0 +Castro 6 5 +Cate Blanchett 4 0 +Catharina 2 0 +Catherine 9 5 +Catherine Deneuve 0 2 +Catherine Keyl 4 0 +Catherine O'Hara 3 0 +Catherine West 4 0 +Cattelan 3 0 +Caught Stealing 2 0 +Ceconomy 4 0 +Cees Visser 2 0 +Celeste Saulo 0 2 +Cellophane 0 3 +Central Cee 4 0 +Cerebras 6 0 +Cerisa van Kesteren 4 0 +Cerúndolo 5 0 +Cesc Fàbregas 2 0 +Cetitec 2 0 +Chabot 4 0 +Chacarra 0 2 +Chad Smith 3 0 +Chanan Hertzberger 0 4 +Chandler Bing 7 0 +Chantal 2 0 +Chantal Janzen 5 0 +Chantal Reusken 5 0 +Chantalle Schilder 2 0 +Charkiv 4 2 +Charlene 2 4 +Charles 50 17 +Charles Addams 2 0 +Charles Leclerc 8 20 +Charles de Gaulle 3 0 +Charli XCX 0 3 +Charli xcx 2 2 +Charlotte 6 0 +Charlotte Kool 3 0 +Chase Jackson 0 2 +Chasity Grant 2 0 +Chatsjanov 2 0 +Chavanté 2 0 +Cheerio 5 0 +Cheetah 2 0 +Chelsea Leeftijd 2 0 +Cherson 2 0 +Chery 2 0 +Chiara Consonni 2 0 +Chiel Timmermans 2 0 +Chieti 4 0 +Chimera Ripa 2 0 +Chivv 2 0 +Chloé Zhao 3 0 +Choho 0 2 +Chris 3 0 +Chris Froome 2 0 +Chris Hamilton 2 0 +Chris Harper 2 0 +Chris Kempczinski 4 0 +Chris Larsen 0 2 +Chris Martin 3 0 +Chris Stoffer 3 0 +Chris Thrall 0 3 +Christa Miller 2 0 +Christian 4 4 +Christian Dior 2 0 +Christian Eriksen 3 3 +Christina 2 0 +Christina Curry 6 0 +Christine 0 5 +Christine Ghawi 2 0 +Christine Lagarde 3 0 +Christine Teunissen 2 8 +Christine Tremarco 5 0 +Christophe Fouquet 3 0 +Christopher Cooper 0 2 +Christopher Dean 0 2 +Christopher Harborne 2 0 +Christopher Landau 2 0 +Christopher Nolan 4 0 +Christus 3 8 +Chromecast 2 0 +Chwalinska 0 6 +Ciccone 6 0 +Cinà 2 0 +Claes de Vreese 2 0 +Clare's Law 2 0 +Clarke 3 0 +Claude 8 6 +Claudia Marino 0 2 +Claudia Sheinbaum 5 2 +Claudia van Bruggen 3 5 +Claus_Casimir 2 0 +Clavijo 3 0 +Clayton , Dubilier & Rice 2 0 +Cleveland Cavaliers 7 0 +Clingendael 2 0 +Close 3 0 +Clément Tabur 3 0 +Co 3 3 +Coaches Suzan Stortelder 2 0 +Cobolli 0 8 +Coco Gauff 10 7 +Coco Schrijber 3 0 +Cody Gakpo 13 5 +Coen Verbraak 0 2 +Coen van Oostrom 5 0 +Cohen 7 2 +Coldeweijer 2 0 +Cole 3 0 +Cole Allen 4 0 +Cole Palmer 5 0 +Coleman Hawkins 4 0 +Colijn 2 0 +Collin Veijer 6 3 +Collins 6 0 +Colman Domingo 0 2 +Colombie 0 3 +Conan O'Brien 6 0 +Concerten Ye 0 2 +Conchita Wurst 2 0 +Conijn 2 0 +Connie Kline 2 0 +Connor Storrie 4 0 +Constantijn 6 0 +Conte 2 0 +Cook 3 0 +Cooper 8 0 +Copilot 3 0 +Coppa Italia 2 0 +Coppens 2 0 +Coppola 2 0 +Corendon 12 0 +Corinthians Leeftijd 2 0 +Cornald Maas 5 0 +Cornelisse 2 0 +Cornetto 2 0 +Corno 2 0 +Cornyn 2 0 +Corné H. 2 0 +Correia 6 0 +Corry van Breda 2 0 +Cortés 6 0 +Coteq 0 2 +Cotofenesti 3 0 +Court Philippe-Chatrier 3 5 +Court Suzanne-Lenglen 2 0 +Couzy 0 3 +Cox 2 0 +Cremonese 2 0 +Crijns 2 0 +Cristhian Mosquera 2 0 +Cristian Chivu 2 0 +Cristian Mungiu 5 0 +Cristiano Ronaldo 13 6 +Cristo Fernández 2 0 +Cruijff 4 2 +Cruiseschip Hondius 6 0 +Crysencio Summerville 8 13 +Culkin 3 0 +Curiosity 2 0 +Curry 6 0 +Curtis Jones 2 0 +Cynthia Erivo 5 0 +Cyrille Bolloré 2 0 +Cyrus 2 0 +Cédrine Kerbaol 3 0 +Céline 2 0 +Céline Blom 2 0 +Céline Dion 5 6 +César 0 3 +D'Artagnan 3 0 +D. 0 3 +DARA 3 0 +DJ E-Z Rock 3 0 +Daan 0 2 +Daan Draait Door 3 0 +Daan Hoogervorst 2 0 +Daan Kos 0 2 +Daan Rots 3 0 +Daan Schuurmans 2 0 +Daan de Kort 5 3 +Daen van Tilborg 0 5 +Daenerys Targaryen 2 0 +Dag van de Overwinning 2 0 +Dai Dai 4 0 +Dailon Livramento 3 0 +Daisy Head 0 2 +Daisy Mohr 2 0 +Daizen Maeda 2 0 +Dakhla 2 0 +Daley Blind 5 2 +Damac 3 0 +Damaris Egurrola 3 0 +Damen 2 2 +Damian D. 0 2 +Damiano Caruso 3 0 +Damocles 3 0 +Damon 2 0 +Damu Sherpa 0 2 +Dan 6 2 +Dan Caine 2 0 +Dan Tomlinson 2 0 +Dani Carvajal 3 0 +Dani Juncadella 2 0 +Dani Olmo 2 0 +Dani Rojas 2 0 +Dani de Wit 2 0 +Dani van den Heuvel 3 0 +Daniel 2 4 +Daniel Bauer 3 0 +Daniel Cornelissen 0 3 +Daniel Craig 5 0 +Daniel Dubois 3 0 +Daniel Juncadella 16 0 +Daniel Muñoz 2 0 +Daniel Siebert 2 0 +Daniel Vallejo 2 0 +Daniel Vorcaro 2 0 +Daniela Klette 3 0 +Danielle Cohen 0 2 +Daniil Medvedev 9 0 +Danilo 0 2 +Danique Dusée 2 0 +Danique Noordman 3 0 +Daniëlle 3 0 +Daniëlle van de Donk 2 4 +Danny Bakker 2 0 +Danny Buijs 2 0 +Danny Danon 3 0 +Danny Dingemans 0 3 +Danny Makkelie 2 0 +Danny Noack 3 0 +Danny Noppert 3 0 +Danon 2 0 +Danson 0 2 +Dara 10 0 +Darderi 3 0 +Daria Kasatkina 6 0 +Dario Castiglione van ProVeenendaal 2 0 +Darius van Driel 2 0 +Darko Nejasmic 2 0 +Darwin Núñez 2 0 +Daryl Jones 2 0 +Dassen 2 0 +Daughter from Hell 2 0 +Dave Mattheijs 2 0 +Dave Roelvink 4 0 +David 6 3 +David Alaba 3 0 +David Attenborough 10 0 +David Beckham 3 0 +David Bowie 2 0 +David Cameron 2 0 +David Davidson 2 0 +David Gilmour 2 0 +David Hasselhoff 2 0 +David Lammy 0 2 +David Letterman 7 0 +David Lewis 0 2 +David Lowery 2 0 +David Min 4 0 +David Moolenburgh 3 0 +David Raya 5 0 +David Rush 3 0 +David Schwimmer 2 0 +David van Weel 26 12 +David van der Werff 2 0 +Davide Ballerini 6 0 +Davide Piganzoli 6 0 +Davidson 2 0 +Davies 3 0 +Davina Michelle 2 0 +Davis 3 0 +Davy Klaassen 14 0 +Dawa Sherpa 0 4 +De Afspraak 0 2 +De Boer 3 2 +De Groot 3 3 +De Heinoos 2 0 +De Jong 49 4 +De Jonge 7 0 +De Kock 2 0 +De Kort 4 0 +De Laat 0 2 +De Leeuw 0 5 +De Ligt 2 0 +De Mol 6 0 +De Munnik 2 0 +De Roon 3 2 +De Rooy 3 0 +De Roy van Zuydewijn 11 0 +De Ruyter 3 0 +De Vries 7 6 +De Wildt 2 0 +De Wit 12 0 +DeGoedeZaak 2 0 +Dean Huijsen 2 0 +Dean James 4 0 +Decathlon CMA CGM 4 0 +Declan Rice 4 0 +Decoy 2 0 +Dekker 4 0 +Dela Rosa 8 0 +Delano G. 2 0 +Delcy Rodríguez 4 0 +Delevingne 3 0 +Delfina Chaves 3 0 +Delivery Hero 4 0 +Delta Goodrem 6 0 +Dembélé 2 0 +Demi Moore 4 0 +Demi Vollering 12 14 +Demy de Zeeuw 0 2 +Den Besten 2 0 +Dench 2 0 +Deniz Undav 3 0 +Dennis 2 0 +Dennis Bergkamp 3 2 +Dennis Krauweel 4 0 +Dennis Locorriere 3 0 +Dennis Schouten 5 0 +Dennis te Kloese 13 4 +Dennis van den B. 3 0 +Dennis van der Geest 3 0 +Deny 2 0 +Denzel 0 2 +Denzel Dumfries 8 14 +Denzel Washington 0 2 +Depay 9 8 +Deportivo Alavés 2 0 +Derek 2 0 +Derek McInnes 3 0 +Derk Boswijk 0 2 +Derksen 3 0 +Deroy Duarte 3 2 +Derrick Luckassen 0 2 +Derulo 2 0 +Deschamps 3 0 +Descotte 2 0 +Desi 2 0 +Desiree van Lunteren 2 0 +Desmond Tutu 2 0 +Devin Haen 2 0 +Devyne Rensch 5 0 +Dharmendra Pradhan 0 3 +Dhont 4 0 +Diana 3 0 +Diana Shnaider 0 4 +Diana Sjnajder 0 3 +Dianne Zuidema 2 0 +Diaz 2 0 +Dick 2 0 +Dick Advocaat 34 16 +Dick Lukkien 3 0 +Dick Maas 2 0 +Dick Parry 2 0 +Dick Schoof 2 4 +Dick Schreuder 4 0 +Didier Deschamps 3 0 +Didier Reynders 3 0 +Didillon-Hödl 3 0 +Diede de Groot 0 2 +Diederik Ebbinge 0 2 +Diego Cespedes 2 0 +Diego Pablo Sevilla 2 0 +Diego Simeone 3 0 +Diekstra 3 0 +Dieperink 2 0 +Dieter Hecking 3 0 +Dieuwke Wynia 2 0 +DigiD 11 0 +Digitale Economie 5 2 +Dijk 3 0 +Dijkman 5 2 +Dijksma 8 0 +Dijkstra 2 0 +Dilan Yesilgöz 8 0 +Dilan Yeşilgöz 18 3 +Din Djarin 3 0 +Dinand Woesthoff 7 0 +Dingemans 0 2 +Dino 2 0 +Dino Prizmic 2 0 +Diogo Jota 3 5 +Dion 2 4 +Dion Huidekooper 5 0 +Dioni Jurado-Gomez 3 0 +Dipke 0 4 +Direct Sheet Plant 2 0 +Dirk 5 2 +Dirk Kuijt 4 0 +Dirk van Duijvenbode 4 0 +Diva Beirut 2 0 +Django Wagner 2 0 +Djokovic 15 2 +Dmitri Peskov 0 4 +Dnipro 6 0 +Dobrindt 2 2 +Doedens 4 2 +Doets 4 0 +Dogra 2 0 +Doja Cat 2 0 +Doku 2 0 +Dolf van den Brink 0 4 +Dolly Dots 2 0 +Dolly Parton 2 0 +Domien Verschuuren 2 0 +Dominic Calvert-Lewin 5 0 +Dominique Janssen 2 7 +Don Ceder 3 3 +Donald 0 3 +Donald Pols 5 15 +Donald Trump 297 71 +Donald Trump Jr. 4 0 +Donald Tusk 3 0 +Donald jr. 2 0 +Donatella Versace 2 3 +Donnie 8 3 +Donny Ronny 0 2 +Donny van de Beek 4 0 +Donovan Mitchell 2 0 +Donyell 0 3 +Donyell Malen 19 13 +Doornenbal 0 2 +Dopebwoy 2 0 +Doria Ragland 2 0 +Dorian 2 0 +Dorian Bindels 2 0 +Dots 2 0 +Douglas Chesley W. 0 3 +Douglas W. 0 2 +Douwe Bob 4 0 +Downtown 0 3 +Doxy 3 0 +Dr. Hook 2 0 +Draghi 2 0 +Drake 12 0 +Dries Roelvink 4 0 +Dries Verhoeven 3 0 +Dries van Agt 2 0 +Driessen 0 5 +Druijf 2 0 +Dré 3 0 +Dua Lipa 5 7 +Dubai Mall 2 0 +Duffy 2 2 +Duhamel 2 0 +Duisenberg 4 0 +Duke Ellington 2 0 +Dukono 2 0 +Dullaert 2 0 +Duncan Laurence 3 0 +Dungeon Lane 3 2 +Dusan Tadic 2 0 +Duterte 5 0 +Dutertes 2 0 +Dversnes 2 0 +Dylan Groenewegen 23 0 +Dylan Sprouse 2 0 +Dzenan Pejcinovic 2 0 +Désiré Doué 4 0 +Dévy Rigaux 10 8 +Díaz-Canel 0 2 +E. Jean Carroll 6 0 +E.T. 0 2 +EOA-Nepal 2 0 +Eberechi Eze 2 0 +Ebrahim Azizi 2 0 +Ebrahim Raisi 2 0 +Ebrahim Rezaei 0 2 +Echteld 2 0 +Eckert 0 2 +Ed 0 2 +Ed Gallrein 2 0 +Ed Sheeran 4 0 +Eddy Merckx 4 0 +Eden Golan 3 0 +Ederson 2 0 +Edgars Rinkevics 2 0 +Edgars Rinkēvičs 3 0 +Edi Rama 0 2 +Edin Dzeko 3 0 +Edo van der Goot 6 2 +Edoardo Mapelli Mozzi 2 0 +Edoardo Zambanini 2 0 +Edsilia Rombley 6 0 +Edson da Graça 3 0 +Edson Álvarez 0 2 +Eduardo Camavinga 2 0 +Edward 2 4 +Edwin Jonker 2 0 +Edwin de Roy van Zuydewijn 11 0 +Edwin van der Sar 5 0 +Eelco Eerenberg 2 0 +Eelco Heinen 9 6 +Eenhoorn 6 5 +Eerdmans 6 0 +Eerenberg 2 0 +Eeuwes 2 0 +Egan 3 0 +Egan Bernal 6 0 +Egas Reparaz 2 0 +Eickhout 3 0 +Eid al-Adha 2 0 +Eilish 3 0 +Einer Rubio 4 0 +Ekrem Imamoglu 5 0 +El Ahmadi 0 2 +El Karouani 5 0 +ElaadNL 2 0 +Elanor Boekholt-O'Sullivan 3 3 +Elche 5 0 +Elijah Wood 3 0 +Elina Svitolina 3 0 +Elisa Balsamo 7 2 +Elisa Longo Borghini 0 6 +Elisabeth 12 2 +Elizabeth 9 5 +Elizabeth II 8 0 +Elizabeth Lail 2 0 +Elke Büdenbender 2 0 +Ella 2 0 +Ella Bleu Travolta 3 0 +Elle 3 0 +Ellen Pompeo 2 0 +Ellen ten Damme 18 0 +Ellen van Langen 2 0 +Ellian 4 0 +Elly 3 0 +Elly Vleeschhouwer-Blocq 2 0 +Elmar Reinders 3 0 +Elmo 2 0 +Eloise 4 0 +Eloise van Oranje 2 0 +Elon Musk 36 16 +Elsa Jacquemot 2 0 +Elshoff 2 0 +Elsinga 4 0 +Elton John 7 7 +Eluned Morgan 2 0 +Elvis 2 0 +Elvis Costello 2 0 +Elvis Presley 0 2 +Emanuel Manolov 2 0 +Emegha 5 0 +Emerson Jones 2 0 +Emiel Zegers 3 0 +Emilia Clarke 2 0 +Emiliano Buendía 4 0 +Emiliano Martínez 2 0 +Emily 4 3 +Emily Blunt 2 0 +Emily Cooper 2 0 +Emma 3 0 +Emma Kok 4 0 +Emma Raducanu 0 5 +Emma Wortelboer 4 0 +Emmanuel Emegha 8 0 +Emmanuel Macchia 5 0 +Emmanuel Macron 8 9 +Emmy 15 3 +Engelkes 2 0 +Engels 3 0 +Enrique 2 0 +Entertainment Tonight 2 0 +Enzo Fernández 3 0 +Enzo Maresca 4 0 +Epko F. 2 0 +Eppo 3 0 +Eppo Bruins 0 2 +Epstein 22 3 +Erben 3 0 +Erben Wennemars 5 3 +Erdogan 7 0 +Ere Zilveren Nipkowschijf 4 0 +Eric 6 0 +Eric Richins 2 0 +Eric Swalwell 0 2 +Eric van Tijn 0 2 +Eric van der Burg 7 2 +Erik 3 0 +Erik Fleming 4 0 +Erik Jutstra 0 4 +Erik Nevland 2 0 +Erik Roddenhof 5 0 +Erik Ziengs 2 0 +Erik de Jong 0 2 +Erik van T Holt 2 0 +Erika 0 2 +Erika Vikman 2 0 +Eriksen 0 2 +Erivo 4 0 +Erja 2 0 +Erkens 4 0 +Erling Haaland 13 2 +Ernest 3 0 +Ernest Poku 2 0 +Ernst Kuipers 3 3 +Ernst van Koesveld 2 2 +Ernst-Volker Staub 3 0 +Escobar 2 0 +Esmah Lahlah 0 4 +Esmee Brugts 3 0 +Esmir Bajraktarevic 2 0 +Esmée Dekker 4 0 +Espriella 0 2 +Estefania Knuth 3 0 +Esther Oosterbeek 2 0 +Esther Ouwehand 3 9 +Esther van Fenema 5 0 +Ethan Tandowsky 2 0 +Ethan Vernon 2 0 +Etienne Vaessen 2 0 +Etiënne Reijnen 2 2 +Etkin Armut 2 0 +Ettifaq 0 2 +Eugen Wassiliwizky 2 0 +Eugenio Chacarra 0 2 +Eugénie 7 4 +Eulálio 10 0 +Eurovision Asia 2 0 +Eusexua 0 2 +Eusexua Afterglow 0 2 +Eva 12 5 +Eva Jinek 4 2 +Eva Marija 2 0 +Eva Vlaardingerbroek 2 0 +Evander Holyfield 2 0 +Evans 4 0 +Evelyn Austin 3 0 +Evert Jan Offringa 2 0 +Evert Jorritsma 2 0 +Evertsen 5 0 +Evgeniy Levchenko 2 0 +Evi Hanssen 0 2 +Evika Silina 2 0 +Evika Siliņa 3 0 +Evita Mac-nack 2 0 +Evita Muzic 2 0 +Evo Morales 2 0 +Ewa Pajor 2 0 +Ewa Safi 3 0 +Ewout Kieft 2 0 +Exit Spaink 2 0 +Exloërmond 0 5 +Ezzedine al-Haddad 6 0 +F. 13 0 +FC Barcelona Leeftijd 2 0 +FC Twente Vrouwen 2 0 +FT 2 0 +Faber 7 0 +Fabian Hürzeler 2 0 +Fabio Di Giannantonio 2 0 +Fabrizio Romano 2 0 +Fahnbulleh 2 0 +Family Kruys 2 0 +Farage 7 2 +Farioli 2 0 +Faris Haroun 2 0 +Federico Cinà 10 0 +Federico Valverde 11 0 +Feeds 2 0 +Feel the Fire 0 2 +Felice Albers 2 0 +Felice Gimondi 2 0 +Felicien Kabuga 2 0 +Felipe 19 7 +Felix 3 2 +Felix Gall 18 0 +Felix Koslowski 3 0 +Feltre 3 0 +Femicide 4 0 +Femke Broeders-Bol 4 0 +Femke Halsema 12 6 +Femke de Vries 0 4 +Fenix-Premier Tech 2 0 +Fenna Kalma 6 0 +Ferd Grapperhaus 4 6 +Ferdinand Marcos 3 0 +Ferdy Druijf 4 0 +Fergie 2 0 +Fernando Alonso 3 2 +Fernando Clavijo 9 0 +Fernando Grande-Marlaska 3 0 +Fernández 3 0 +Ferran Torres 2 0 +Ferry Doedens 4 2 +Festival Amsterdam 4 0 +Fez 2 0 +Fico 2 0 +Fidan Ekiz 2 0 +Fidel Castro 4 0 +Filip 17 3 +Filip Kostic 2 0 +Filippo Ganna 3 0 +Fils 3 0 +Finn Stam 4 0 +First 2 0 +First Dates 2 0 +Flament 3 0 +Flavie Flament 4 0 +Flavio Cobolli 0 14 +Fleming 4 0 +Flemming 7 0 +Fletcher 2 0 +Fleur Agema 2 0 +Flick 4 0 +Flinke Namen 0 2 +Florence van Duijvendijk 0 2 +Florentino Pérez 4 0 +Florian Wirtz 2 0 +Floris 3 2 +Flotilla 2 0 +Flávio 2 0 +Flávio Bolsonaro 2 0 +FonQ 2 0 +Fonda 3 0 +Foort van Oosten 3 0 +For Good 3 0 +Forbes 8 3 +Foreign Tongues 4 0 +Foxx 3 0 +Francesca Albanese 2 0 +Francesco Bagnaia 2 0 +Francesco Farioli 4 0 +Francheska 0 2 +Francis Ford Coppola 4 0 +Francisco Cerúndolo 9 0 +Franciscus 3 0 +Franco Colapinto 3 0 +Franco Mastantuono 2 0 +Frank 7 3 +Frank Elderson 2 0 +Frank Hoen 2 0 +Frank Houtappels 0 2 +Frank Krake 3 0 +Frank Paauw 2 0 +Frank Rijkaard 2 0 +Frank Sinatra 2 0 +Frank Vandenbroucke 2 0 +Frank van den Broek 7 0 +Frank van den Eeden 6 0 +Frank van der Linde 2 0 +Frank-Walter Steinmeier 2 0 +Frankie Valli 2 0 +Franklin 2 0 +Frans 2 0 +Frans Bauer 6 0 +Frans Halsema 2 0 +Frans Muller 5 0 +Frans Osinga 0 2 +Frans Pollux 3 0 +Frans Timmermans 2 0 +Franse Bolloré 2 0 +Franz Wohlfahrt 2 0 +Franziska Koch 6 0 +Freaky Friday 2 0 +Fred 0 2 +Fred Grim 5 2 +Fred Rutten 21 0 +Fred Vasseur 0 2 +Fredderick Vida 3 0 +Freddie Mercury 3 0 +Freddy Horion 0 3 +Frederik 25 11 +Frederik Brom 2 0 +Frederik Zevenbergen 2 0 +Frederiksen 0 3 +Fredrik Dversnes 2 0 +Freek 22 0 +Freek Rikkerink 11 0 +Freek de Jonge 2 0 +Frenkie 5 3 +Frenkie de Jong 18 12 +Friedrich Merz 12 6 +Friendly Fire 3 0 +Fright Nights 3 0 +Frimpong 2 0 +Frits Spits 6 0 +Frodo 2 0 +Froukje 4 0 +Froukje de Both 2 0 +Frsh 2 0 +Frémaux 2 0 +FunX Awards 2 0 +Fuqua 0 2 +Furtjuh 2 0 +Félix Auger-Aliassime 0 4 +GHB 2 0 +Gabbard 3 0 +Gabriel 5 0 +Gabriel Attal 2 0 +Gabriel Basso 2 0 +Gabriel Diallo 2 0 +Gabriel Magalhães 3 0 +Gabriela 2 0 +Gagik Tsaroekjan 0 2 +Gaia Aikman 2 0 +Galatasaray Leeftijd 2 0 +Galaxy's Edge 2 0 +Gall 5 0 +Gallrein 2 0 +Ganna 2 0 +Garance Reus-Deelder 2 0 +Garnier 3 0 +Garry Rodrigues 3 2 +Gary Anderson 2 0 +Gary Bouwer 0 2 +Gary O'Neil 2 0 +Gauff 3 0 +Gavin Newsom 2 2 +Gavras 2 0 +Gazavloot 2 0 +Gebouw van het Jaar 0 2 +Geef Tegengas 6 0 +Geert Hermans 2 0 +Geert Wilders 16 0 +Geert-Jan 0 2 +Geert-Jan Knoops 0 4 +Geertruida 2 0 +Geest 2 0 +Gen Z 2 0 +Gen Z'ers 2 0 +Gennaro Gattuso 3 0 +Genz 0 2 +Geoffrey Moncada 2 0 +George 6 0 +George Bush 2 0 +George Clooney 3 0 +George Foreman 2 0 +George Harrison 3 0 +George Lucas 4 0 +George Michael 3 0 +George Russell 22 9 +Georgia 3 0 +Georgina Verbaan 2 0 +Georginio Wijnaldum 3 2 +Georgios Donis 2 0 +Gerard Ekdom 2 0 +Gerard Joling 3 5 +Gerard Niemeijer 3 0 +Gerard Piqué 8 0 +Gerben Cabboort 0 2 +Gerhard Schröder 5 0 +Gernot Trauner 5 0 +Gerrie van der Klei 3 0 +Gerry Hamstra 2 0 +Gert Verhulst 3 0 +Gerwyn Price 2 0 +Gerónimo Rulli 2 0 +Gewoon Thomas 2 0 +GfK Dutch Charts 8 2 +Ghebreyesus 2 0 +Ghislaine 2 0 +Gian van Veen 11 0 +Gianluca Mancini 2 0 +Gianluca Prestianni 3 0 +Gianluigi Donnarumma 2 0 +Gianmarco Garofoli 2 0 +Gianni Infantino 10 4 +Giannino Vianello 2 0 +Gibson 3 0 +Gibson Yah 2 0 +Gideon Sa'ar 2 0 +Gideon Saar 9 0 +Gideon van Meijeren 2 0 +Gidi Markuszower 40 0 +Gijs 15 0 +Gijs Leemreize 4 0 +Gijs Sanders 14 0 +Gijs Smal 3 0 +Gijs Tuinman 0 5 +Gijsbert van der Wal 2 0 +Gil 2 0 +Gil Evans 2 0 +Gilbert Martina 7 0 +Giles 0 2 +Gilles Michaud 2 0 +Gilles Villeneuve 12 0 +Gilles de la Tourette 2 0 +Gillis 16 0 +Gilmar Pisas van Curaçao 2 0 +Gina de Vries 0 2 +Giorgia 2 0 +Giorgia Meloni 4 0 +Giorgio Furlani 2 0 +Girona 5 2 +Gisèle Pelicot 5 4 +Gitanas Nauseda 2 0 +Giuliani 5 0 +Giulio Ciccone 8 0 +Giulio Pellizzari 5 0 +Gizeh 13 0 +Gjivai Zechiël 5 0 +Gladon 3 0 +Glas 2 0 +Gloukh 2 0 +Gmail 2 0 +Gnarly 2 0 +Godfried Roemeratoe 0 2 +Godts 8 0 +Gold 0 2 +Golden 4 0 +Goliath 0 2 +Gonzalo García 4 0 +Gonçalo Ramos 2 0 +Goodman 2 0 +Google Pay 0 4 +Google Translate 2 0 +Goossens 3 0 +Gordon 4 0 +Gordon Brown 4 0 +Gorgels 3 0 +Goring 2 0 +Goudappel 2 0 +Goudstikker 2 0 +Gounon 2 0 +Gozert 2 0 +Gracie Abrams 6 0 +Gradus Kraus 5 0 +Graham Potter 3 2 +Grammy 2 0 +Grands Prix 2 4 +Gravenberch 4 0 +Greater Manchester 4 0 +Green 13 0 +Greenberg Traurig 6 0 +Gregory Mitchell 2 0 +Greuther Fürth 2 0 +Grian Chatten 2 0 +Griekspoor 13 0 +Grimmaische Strasse 2 0 +Grischa 0 2 +Grischa Niermann 0 2 +Groene Groei 6 4 +Groenewegen 14 0 +Grogu 4 0 +Groot 2 0 +Groots 2 0 +Grueter 2 0 +Guardiola 12 0 +Guillaume B. 2 0 +Guillermo Hoyos 3 0 +Guillermo Ochoa 2 2 +Guillermo Thomas Silva 2 0 +Gustaf Nilsson 0 2 +Gustav Isaksen 2 0 +Gustavo Petro 2 3 +Guterres 5 0 +Guus Hiddink 0 2 +Guus Meeuwis 5 0 +Guus Offerhaus 2 0 +Guus Til 11 2 +Gyan de Regt 3 0 +H. 4 0 +Haakon 26 23 +Haandrikman 2 0 +Hackney Diamonds 3 0 +Haddad 3 0 +Hadestown 2 0 +Hadj Moussa 4 0 +Hagens 2 0 +Hajime Moriyasu 4 0 +Halina Reijn 3 0 +Hall 4 0 +Halsema 13 3 +Halys 3 0 +Hamer 3 0 +Hamill 2 0 +Hamilton 3 4 +Hamza L. 0 2 +Hamzah L. 0 2 +Han 4 0 +Han Duck-soo 3 0 +Han Kooreneef 0 2 +Handhaafbaarheid 2 0 +Handy 0 2 +Hanna van Vliet 3 4 +Hannah Mae 3 0 +Hanne 3 0 +Hanne Verbruggen 0 3 +Hanneke Groenteman 2 0 +Hannelore Zwitserlood 2 0 +Hannibal 0 3 +Hannibal Mejbri 3 0 +Hans 0 4 +Hans Croiset 0 2 +Hans Jorritsma 0 6 +Hans Kesting 0 3 +Hans Laroes 2 0 +Hans Otten 2 0 +Hans Snijder 0 2 +Hans Spekman 7 0 +Hans Vijlbrief 20 9 +Hans Zimmer 3 0 +Hans van den Heuvel 3 0 +Hansi Flick 7 0 +Hantavirus 4 0 +Hantavirussen 2 0 +Harald 29 7 +Harald Zwart 2 0 +Hardy 3 0 +Harm Goossens 6 4 +Harmen van Wijnen 2 0 +Haroon Raza 3 0 +Harriet Harman 2 0 +Harriet Sperling 0 3 +Harrigan 3 0 +Harris 3 0 +Harrison Ford 3 0 +Harry 19 4 +Harry Da Souza 2 0 +Harry Kane 9 0 +Harry L. 0 2 +Harry Leijdekkers 2 0 +Harry Lensink 2 0 +Harry Maguire 4 0 +Harry Mens 4 0 +Harry Mulisch 2 0 +Harry Potter 3 2 +Harry Styles 56 15 +Harry Styles-merchandise 2 0 +Harry van der Maas 2 0 +Hart 2 0 +Harvey Weinstein 3 0 +Hassan 2 0 +Hasso Herschel 2 0 +Hathaway 2 0 +Havertz 3 0 +Hazes 4 0 +Head 0 4 +Heated Rivalry 3 2 +Hebban 2 0 +Hedwiges Maduro 2 0 +Heemsbergen 2 0 +Heerma 5 3 +Hegseth 11 5 +Heidi Klum 2 0 +Heijkoop 3 0 +Heinen 5 5 +Helen Mirren 3 0 +Hella 2 0 +Hellmich 3 0 +Helmus 2 0 +Helsing 2 0 +Henderson 2 0 +Hendrik Noten 2 0 +Hendriks 6 0 +Henk 2 0 +Henk Brugge 2 0 +Henk Veerman 3 0 +Henk Veldmate 2 0 +Henk Vermeer 0 5 +Henk Wijngaard 2 0 +Henk ten Cate 0 2 +Henkie 2 0 +Henkie T 3 0 +Hennie van der Most 2 0 +Hennis_Plasschaert 3 0 +Henny Vrienten 0 2 +Henri Bontenbal 3 2 +Henri Matisse 2 0 +Henrik 4 0 +Henrik Elm 2 0 +Henry 0 2 +Henry Kissinger 2 0 +Henry Nowak 0 5 +Henry Schut 10 0 +Herbie Hancock 2 0 +Heritage Auctions 2 0 +Herman J. 2 0 +Hermans 17 2 +Herremans 3 0 +Herschel 2 0 +Hertzberger 0 3 +Heutink 2 0 +Hidde Heutink 2 4 +Hiddema 0 2 +Hikers 2 0 +Hila 7 0 +Hila Noorzai 2 0 +Hilaria 2 0 +Hilbert Bredemeijer 2 0 +Hillary Super 0 2 +Hillen 5 0 +Hilton 0 2 +Hindley 5 0 +Hit Me Hard and Soft 2 0 +Hit the Wall 2 0 +Hitler 0 7 +Hitlergroeten 3 0 +Ho-Pin Tung 2 0 +Hoag 0 2 +Hoefkens 2 0 +Hoekstra 2 2 +Hoes 5 0 +Hoffman 5 0 +Hofman 2 3 +Holly Mae Brood 0 2 +Hollywoodsterren Dench 2 0 +Home With You 0 3 +Hondius 200 3 +Hoogkamer 3 0 +Hope 2 0 +Horace Cohen 2 0 +Horan 5 0 +Horans 2 0 +Horion 0 3 +Horseshoe Reef 3 0 +Houten 5 0 +Huang 2 0 +Hubert 0 2 +Hubert Bruls 0 5 +Hudson Williams 2 0 +Hugh Jackman 2 0 +Hugo de Groot 2 0 +Hugo de Jonge 9 6 +Huibert Crijns 2 0 +Huijsen 2 0 +Humberto 3 0 +Humberto Tan 5 3 +Humphries 3 0 +Hun Sen 2 0 +Hunter Schafer 2 2 +Hunterbrook 3 0 +Huub Stapel 2 2 +Hyacinthe van Bussel 0 2 +Hypersudoku 3 0 +Hélène Hendriks 4 0 +Høiby 8 7 +Hüseyin 3 0 +I/O 3 0 +IJperen 4 0 +Ian Maatsen 12 3 +Ian Tyler 3 0 +Ibrahim Afellay 3 0 +Ibrahim Diabate 2 0 +Ibrahim Mbaye 2 0 +Iconic Savvy 3 0 +Ida 3 0 +Idris Elba 3 2 +Iga Swiatek 8 2 +Igli Tare 2 0 +Igor Arrieta 7 0 +Igor Jesus 2 0 +Ilhan Omar 2 0 +Ilie Bolojan 2 0 +Ilke Paddenburg 2 0 +Ilse DeLange 10 0 +Ilse Kuijt 0 8 +Imamoglu 2 0 +Ina Hellmich 3 0 +Inass Jagour 7 0 +Ines Kostić 0 2 +Inez Weski 10 5 +Infantino 2 3 +Infectieziektebestrijding 2 0 +Infrabel 3 0 +Ingrid 2 2 +Ingrid Alexandra 3 14 +Ingrid Michon-Derkzen 0 5 +Insiya 5 0 +Instructure 12 0 +Internazionale Leeftijd 2 0 +Iraola 0 2 +Ireland 2 0 +Ireland Baldwin 2 0 +Irene 11 0 +Irene Moors 3 0 +Iris 2 0 +Iris de Munnik 2 0 +Iris van Loen 2 0 +Iron Dome 3 0 +Irwin Mazur 3 0 +Isa 2 0 +Isa Hoes 3 0 +Isaac 2 0 +Isaac Herzog 2 0 +Isaach de Bankolé 3 0 +Isaacman 0 3 +Isabella 3 0 +Isabella Holmgren 0 3 +Isabelle Huppert 2 0 +Isack Hadjar 10 7 +Isak 7 0 +Isak Andic 7 0 +Isla Fisher 2 0 +Ismael Saibari 11 4 +Ismaël Baouf 3 0 +Israel Katz 0 2 +Israël 13 5 +It Takes 2 0 +Itamar Ben-Gvir 11 3 +Itamura 2 0 +Itsme 0 4 +Ituri 2 0 +Itzhak de Laat 0 2 +Iva Bicanic 0 5 +Iva Jovic 2 0 +Ivan Leko 2 0 +Ivan Perisic 5 3 +Ivanka Trump 2 0 +Ivanna Lisette Ortiz 3 0 +Ivo Niehe 2 0 +Iván Cepeda 2 4 +Iván Ortolá 2 0 +Izan Guevara 2 0 +J. 5 0 +J.Noah 0 2 +JCK 0 4 +JD Vance 7 0 +Jaafar Jackson 2 0 +Jaakko Ohtonen 2 0 +Jaap Hamburger 2 0 +Jaap Stam 3 0 +Jaap Velema 6 0 +Jaap van Dissel 8 20 +Jacco 2 0 +Jack Black 0 2 +Jack Haig 2 0 +Jack Mikkers 2 6 +Jack Plooij 2 0 +Jack Spijkerman 2 0 +Jack de Vries 0 2 +Jack van Gelder 3 0 +Jackie Groenen 3 4 +Jackson 11 0 +Jackson Pollock 3 0 +Jacob Elordi 4 2 +Jacob Tierney 2 0 +Jacob Trenskow 5 0 +Jacobs 4 0 +Jacqueline Smit 0 2 +Jacques Anquetil 2 0 +Jacques Dion 2 0 +Jacques Goudstikker 2 0 +Jada 2 0 +Jada Borsato 5 4 +Jade Kops 5 0 +Jafar Panahi 4 0 +Jagger 4 0 +Jagour 2 0 +Jahanbakhsh 0 2 +Jai Hindley 11 0 +Jai Wowor 3 0 +Jaimi van Essen 7 0 +Jaimy Ravensbergen 3 0 +Jair Bolsonaro 3 0 +Jaitsen Singh 4 0 +Jake O'Brien 2 0 +Jake Paul 4 0 +Jakob Breum 2 0 +Jakub Mensik 2 0 +Jakub Mensík 0 5 +Jakub Menšík 0 5 +Jalen Brunson 0 2 +Jamal Musiala 4 0 +James 6 0 +James Bond 5 0 +James Cameron 3 0 +James Comey 3 0 +James Handy 0 2 +James Morrison 2 0 +James Shaw 2 0 +James Talarico 3 0 +Jamie Foxx 2 0 +Jamie Lee Curtis 3 0 +Jamie Theakston 3 0 +Jamieson Greer 2 2 +Jamiro Monteiro 3 0 +Jan 7 3 +Jan B. 3 5 +Jan Baan 0 3 +Jan Christen 3 0 +Jan Driessen 0 6 +Jan Kluytmans 2 8 +Jan Paternotte 6 0 +Jan Paul van Hecke 10 7 +Jan Roelfs 2 0 +Jan Roos 4 0 +Jan Slagter 0 2 +Jan Smit 8 2 +Jan-Christian Dreesen 2 0 +Jan-Willem Roodbeen 3 0 +Jane Fonda 4 0 +Janine Abbring 0 2 +Jannik Sinner 34 8 +Jans 8 0 +Jansen 6 3 +Jansma 5 0 +Janssen 0 4 +Janzen 3 0 +Jardi van der Lee 4 0 +Jared Isaacman 0 3 +Jared Kushner 0 4 +Jaroslav Tvrdík 2 0 +Jask 4 0 +Jasmine Paolini 0 2 +Jason 2 0 +Jason Biggs 2 0 +Jason Collins 2 0 +Jason Derulo 2 0 +Jason Schwartzman 2 0 +Jason Segel 2 0 +Jasper 2 0 +Jasper Helderman 2 0 +Jasper Stuyven 5 0 +Jaspers 2 0 +Jasveen Sangha 5 0 +Javier Aguirre 2 3 +Javier Ambrossi 2 0 +Javier Bardem 3 0 +Javier Calvo 2 0 +Jay Hoag 0 2 +Jay Vine 7 0 +Jay-Z 2 0 +Jayne Torvill 0 2 +Jean Paul Gaultier 3 0 +Jean-Claude Bouillon Baker 2 0 +Jean-Luc Crucke 2 0 +Jean-Luc Murk 4 0 +Jean-Noël Barrot 4 0 +Jean-Paul Boëtius 2 0 +Jean-Philippe Mateta 3 0 +Jeanine Hennis-Plasschaert 3 0 +Jeep 2 0 +Jeff Bezos 8 5 +Jeff Hardeveld 3 0 +Jeff Landry 4 0 +Jeffrey Epstein 34 6 +Jeffries 3 0 +Jeltje Straatman 2 0 +Jen Kiggans 2 0 +Jenkinson 2 0 +Jennifer Aniston 0 2 +Jennifer Hoffman 3 0 +Jennifer Lopez 4 0 +Jenny Mollen 2 0 +Jensen Huang 11 4 +Jerdy Schouten 20 0 +Jeremie Frimpong 8 2 +Jeremy 2 0 +Jeremy Antonisse 0 2 +Jeremy Swift 0 2 +Jermaine Jackson 2 0 +Jermaine Wattimena 4 0 +Jermak 3 0 +Jeroen 0 3 +Jeroen Elshoff 2 0 +Jeroen Grueter 2 0 +Jeroen Heemsbergen 2 0 +Jeroen Kijk in de Vegte 13 0 +Jeroen Kraan 5 2 +Jeroen Pauw 2 0 +Jeroen Rijsdijk 4 0 +Jeroen van Koningsbrugge 3 0 +Jeroen van Loon 2 0 +Jerome Powell 8 2 +Jesper Roele 3 0 +Jesper Uneken 2 0 +Jesper de Jong 40 6 +Jess 4 0 +Jesse 0 3 +Jesse Klaver 10 12 +Jesse van Schaik 5 0 +Jessica Mann 3 0 +Jessica Schilder 5 3 +Jessica Williams 2 0 +Jessie 0 2 +Jessie J 2 0 +Jest Oldu 5 0 +Jet Bussemaker 2 0 +Jet Li 2 0 +Jethro Warbroek 3 0 +Jetten 88 17 +Jeugd 2 0 +Jezus 6 2 +Jezus Christus 7 2 +Jhonatan Narváez 8 0 +Jill Biden 3 0 +Jill Helena 14 0 +Jill Roord 5 0 +Jillert Anema 2 0 +Jilles van den Beukel 2 0 +Jim Bakkum 4 0 +Jim Carrey 3 0 +Jim Caviezel 2 0 +Jim Wojdyla 2 0 +Jimi Hendrix 2 0 +Jimmy 2 0 +Jimmy Dijk 3 2 +Jimmy Fallon 5 0 +Jimmy Kimmel 9 3 +Jingye 2 0 +Jo-Annes de Bat 5 2 +Joachim 2 2 +Joah Malek 2 0 +Joan Miró 2 0 +Jodenhaat 0 3 +Joe Biden 11 6 +Joe Claridge 3 2 +Joe Frazier 2 0 +Joe Keery 2 0 +Joe Popolo 6 0 +Joe Zawinul 2 0 +Joel 3 0 +Joensuu 2 0 +Joep 5 0 +Joep Paddenburg 3 0 +Joep Wennemars 5 0 +Joep Wijnands 7 0 +Joep van den Boom 9 0 +Joeri Kapteijns 8 0 +Joeri Oesjakov 2 0 +Joey 2 0 +Joey Kooij 2 0 +Joey Veerman 12 0 +Johan 4 0 +Johan Cruijff 7 0 +Johan Cruijff Talent 3 0 +Johan Derksen 3 0 +Johan Geneuglijk 2 0 +Johan de Wit 2 0 +Johan de Witt 2 0 +Johann Wadephul 2 2 +Johannes Paulus II 2 0 +John 4 0 +John Beaton 2 0 +John Cage 2 0 +John Cale 0 2 +John Coltrane 2 0 +John Coltrane.De 2 0 +John Cornyn 4 0 +John F. Kennedy 4 0 +John F. Kennedy Jr. 2 0 +John F. Kennedy jr. 2 0 +John Healey 6 0 +John Heitinga 5 2 +John Krasinski 2 0 +John Legend 2 0 +John Lennon 2 0 +John Lucas 0 2 +John Malkovich 2 0 +John McGinn 3 0 +John Oliver 6 0 +John Ottman 3 0 +John Ratcliffe 5 0 +John Scofield 2 0 +John Stegeman 9 0 +John Stones 2 0 +John Tana 3 0 +John Travolta 9 0 +John de Bever 2 0 +John de Wolf 0 2 +John van den Brom 7 0 +Johnny de Mol 5 0 +Johnson 7 0 +Jolie 3 0 +Jolien Roef 2 0 +Joling 0 3 +Jon Small 2 0 +Jon Stewart 4 0 +Jon van Eerd 4 0 +Jonas 3 0 +Jonas Gahr Støre 2 2 +Jonas Geens 2 0 +Jonas Lovv 3 0 +Jonas Vingegaard 51 3 +Jonathan 8 0 +Jonathan Andic 7 0 +Jonathan Johnson 3 0 +Jonathan Milan 11 0 +Jones 2 0 +Jong 2 0 +Jonker 3 2 +Jonna Fraser 4 0 +Jonny Clayton 3 0 +Jony Ive 2 0 +Joods Cultureel Kwartier 0 4 +Joop van den Broek 2 0 +Joost Eerdmans 7 0 +Joost Klein 7 4 +Joost Luiten 2 8 +Joost Nederpelt 3 0 +Joost Prinsen 0 2 +Joost Sneller 2 2 +Joost Swinkels 2 0 +Joost Vullings 3 0 +Jordan Bos 3 0 +Jordan Henderson 3 0 +Jordan Lotomba 2 0 +Jordi 2 2 +Jordi Altena 4 0 +Jordi Cruijff 6 2 +Jordy 2 0 +Jordy C. 5 0 +Jorge Jesus 2 0 +Jorge Martín 4 0 +Jorge Videla 0 5 +Jorinde van Klinken 4 2 +Jorrel Hato 14 0 +Jorritsma 0 5 +Jorthy Mokio 8 0 +Jos 11 0 +Jos L. 3 2 +Jos Leijdekkers 14 0 +Josep Guardiola 15 0 +Joseph Aoun 0 2 +Joseph Leijdekkers 3 0 +Joseph Oosting 3 0 +Josephine 2 0 +Josephine Baker 2 0 +Josh Duhamel 2 0 +Josh Rock 2 0 +Josh Simons 2 0 +Joshua 3 0 +Joshua Brenet 0 2 +Joshua Kimmich 4 0 +Josien van Putten 2 0 +Josip Sutalo 7 0 +Jostiband 4 0 +José González 2 0 +José Luis Rodríguez Zapatero 2 0 +José Manuel Albares 3 0 +José Mourinho 5 2 +Jota 0 2 +Joy Wielkens 2 0 +Joyce Beatty 2 0 +João Almeida 3 0 +João Fonseca 2 5 +João Neves 3 0 +João Palhinha 2 0 +João Pedro 2 0 +Joël Veltman 3 0 +Juan Carlos 2 0 +Juan Manuel 2 0 +Juan Manuel Cerúndolo 7 2 +Jude Bellingham 4 0 +Judi Dench 3 0 +Judith 8 5 +Judith Tielen 3 0 +Juho Talvitie 2 0 +Jules Gounon 13 0 +Julia 5 0 +Julia Boschman 0 3 +Julia Louis-Dreyfus 2 0 +Julian Nagelsmann 10 3 +Juliana 4 0 +Julianne Moore 2 0 +Julie 2 0 +Julie Taal 2 0 +Julien 0 2 +Juliet 2 0 +Juliette Binoche 2 0 +Julius Jaspers 2 0 +Julius Johansen 2 0 +Julius Maada Bio 2 0 +Juliëtte van Leeuwen 2 0 +Juncadella 7 0 +June 0 2 +Juninho Bacuna 3 2 +Jurado-Gomez 2 0 +Jurre Bosman 2 0 +Jurriën Timber 37 13 +Justen de Wildt 5 0 +Justin Baldoni 4 2 +Justin Bieber 7 0 +Justin Bijlow 6 0 +Justin Kluivert 13 5 +Jutta Leerdam 3 0 +Juul 0 3 +Juvat Westendorp 2 2 +Juventus Leeftijd 2 0 +Jérémy Doku 7 4 +Jérôme B. 0 3 +Jürgen Klopp 2 0 +Jürgen Locadia 4 4 +K. 4 3 +KLM-vlucht KL714 2 0 +Kabuga 2 0 +Kai Havertz 6 0 +Kaia Gerber 2 0 +Kaj Gorgels 3 0 +Kaj van der Voort 3 0 +Kaja Kallas 21 0 +Kallas 9 0 +Kamala Harris 6 2 +Kami Rita Sherpa 2 0 +Kamp 0 2 +Kamp Vught 2 0 +Kan 7 0 +Kanye West 22 43 +Kappen 2 0 +Karapetjan 0 2 +Kardashian 2 5 +Karel Gerlach 0 2 +Karen 0 2 +Karen Chatsjanov 5 0 +Karen Damen 2 4 +Karen Khachanov 13 0 +Karien Stronks 3 0 +Karim Erja 2 0 +Karin 2 0 +Karin Spaink 4 0 +Karl 0 2 +Karl-Anthony Towns 0 2 +Karol Nawrocki 5 0 +Karremans 7 0 +Karremans van Infrastructuur 2 0 +Karsu 14 0 +Kash Patel 4 0 +Kataib Hezbollah 4 0 +Kate 2 0 +Kate Arizmendi 2 0 +Kate Winslet 4 0 +Katherine Hepburn 2 0 +Kathleen 0 2 +Kathleen Aerts 2 4 +Katja Schuurman 2 2 +Katy Perry 4 0 +Katz 4 6 +Kaya Imani 3 0 +Kees 5 0 +Kees Flodder 6 0 +Kees Jansma 5 0 +Kees Smit 8 0 +Keetels 2 0 +Kehlani 2 0 +Keijzer 6 6 +Keir Starmer 43 6 +Keith McCurdy 2 0 +Keith Richards 0 2 +Kelder 2 0 +Kelderman 2 0 +Kelis 2 0 +Kelly 4 0 +Kelly Ortberg 6 0 +Kelly Piquet 0 2 +Kelvin Evans 3 0 +Kem Sokha 2 0 +Kemal Kilicdaroglu 4 0 +Kemper 2 0 +Ken Paxton 6 0 +Kendrick Lamar 4 0 +Kendrick Lamont Key Jr. 2 0 +Kennedy 10 2 +Kenneth Iwamasa 5 0 +Kenneth Law 2 0 +Kenneth Taylor 12 3 +Keolis 2 0 +Kerem Canatan 0 2 +Kerstin Casparij 8 0 +Ketamine 2 0 +Ketamine Queen 2 0 +Kevin 13 3 +Kevin De Bruyne 3 2 +Kevin Doets 5 0 +Kevin Felida 0 2 +Kevin Warsh 7 0 +Key 2 0 +Keyl 4 0 +Keyvan Shahbazi 6 0 +Khachanov 5 0 +Khadija Arib 3 8 +Khamenei 3 4 +Khan 3 0 +Kharkiv 2 0 +Khvicha Kvaratskhelia 5 0 +Kid Cudi 0 2 +Kieran Culkin 2 0 +Kijk in de Vegte 4 0 +Kike Barja 2 0 +Kiki Bertens 2 0 +Kiki Loonstra 2 0 +Kikker 2 0 +Kikker Energie 2 0 +Kiliann Sildillia 2 0 +Kilicdaroglu 3 0 +Kilmar Abrego Garcia 2 0 +Kim 7 8 +Kim Basinger 2 0 +Kim Einder 0 2 +Kim Jong-un 4 7 +Kim Kardashian 4 8 +Kim-Lian van der Meij 4 0 +Kimberly Wyatt 2 0 +Kimi 2 0 +Kimi Antonelli 23 24 +Kimmel 6 2 +King 3 0 +King's Speech 3 0 +Kingsley Coman 2 0 +Kinski 0 5 +Kirsten 2 0 +Kiss All The Time 3 0 +Kjell Scherpen 3 0 +Klaas Knot 2 0 +Klaas Sloots 8 0 +Klaas Sloots van Stadskanaal 3 0 +Klaas van Veen 2 0 +Klaas-Jan Huntelaar 2 0 +Klaasje Meijer 4 2 +Klaassen 7 0 +Klamer 2 0 +Klaver 9 6 +Klein 2 2 +Klette 2 0 +Klok 0 2 +Kluivert 4 5 +Kluytmans 0 8 +Knaken 0 2 +Knight 2 0 +Knoops 2 4 +Knot 2 0 +Ko Colijn 2 0 +Ko Itakura 6 0 +Koblenko 2 0 +Koch 2 0 +Kockelmann 2 0 +Koekiemonster 2 0 +Koekoek 0 2 +Koeman 52 36 +Koeman jr. 3 0 +Koen Bouwman 4 0 +Kogelbrief 2 0 +Kohl 3 0 +Kok 4 0 +Koki Ogawa 3 0 +Kolen 3 0 +Kollau 2 0 +Kolo Touré 2 0 +Kompany 2 0 +Kooij 3 0 +Kool 2 0 +Koole 2 0 +Koolmees 0 5 +Koopmans 9 0 +Koopmeiners 2 0 +Kopecky 7 0 +Kops 4 0 +Kostjoek 2 0 +Kostyuk 2 0 +Kouame 4 0 +Kouri Richins 3 0 +Kraantje Pappie 2 0 +Krabbé 3 0 +Krake 2 0 +Kramer 2 0 +Kraus 4 0 +Krauweel 3 0 +Kremers 5 0 +Kristel 0 2 +Kristel Verbeke 2 4 +Kristi Noem 2 0 +Kristian Hlynsson 4 0 +Kristin Grannis 2 0 +Kroes 3 0 +Kroon 3 0 +Kruys 2 0 +Kröger 0 2 +Kuhr 2 2 +Kuijsten 2 0 +Kuiper 0 2 +Kuipers 4 3 +Kuss 2 0 +Kyano Kwint 2 0 +Kyle Busch 2 0 +Kyle Diamantas 2 0 +Kylian Mbappé 9 2 +Kylie Minogue 3 0 +Kyndryl 7 0 +Kyra Carusa 0 3 +L. 4 7 +LA$$A 2 0 +Laan 4 0 +Lady Gaga 2 0 +Lahlah 0 2 +Lai 2 0 +Lai Ching-te 2 0 +Lale Gül 5 0 +Lamare Bogarde 5 0 +Lamens 4 0 +Lamers 3 0 +Lamine Yamal 2 0 +Lamjarred 2 0 +Lampenius 4 0 +Lance Stroll 0 2 +Lando Norris 17 3 +Lang 6 0 +Langdurige Zorg 8 0 +Lara Croft 0 2 +Lara Gillespie 3 0 +Lara Zevenberg 4 0 +Largo Porta Bologna 2 0 +Laroes 2 0 +Laros 2 0 +Laros Duarte 2 0 +Larry 2 0 +Lars Klingbeil 3 0 +Lars van der Vight 0 2 +Laura 3 2 +Laura Tesoro 2 0 +Laura Wandel 3 0 +Laura van Gijn 0 2 +Laurens Dassen 2 3 +Laurent Mekies 2 0 +Laurent Nuñez 3 0 +Laurentien 5 2 +Laurette Schillings 2 0 +Laut 2 0 +Lautaro Martínez 4 0 +Lavrov 3 0 +Law 2 0 +Lawrence Shankland 3 0 +Lazlo 2 0 +LeBron James 2 0 +LeTec 0 2 +League Darts 2 0 +Leah 4 0 +Leah McKendrick 0 2 +Leandro Bacuna 3 0 +Leandro Trossard 5 0 +Lease a Bike 0 2 +Leclerc 3 9 +Leco van Zadelhoff 3 0 +Lee 2 0 +Lee Kian Lie 0 2 +Leen van Dijke 0 3 +Leeroy Echteld 5 0 +Left Laser 14 0 +Leiden Marathon 3 0 +Leijten 2 0 +Lekkerkerker 2 0 +Leknessund 4 0 +Lena Schilling 3 0 +Lennart Karl 0 3 +Lennox Lewis 2 0 +Lenny Kuhr 8 3 +Lenovo 0 4 +Leo 9 5 +Leo XIV 11 4 +Leon Duhamel 2 0 +Leonardo DiCaprio 4 0 +Leonardo da Vinci 2 0 +Leonor 4 3 +Leontine 2 2 +Leontine Ruiters 10 4 +Leony Coppens 2 0 +Leopold Witte 2 0 +Leroy Sané 2 0 +Letizia 9 7 +Letizia Paternoster 2 0 +Letschert 6 7 +Letterman 3 0 +Leurink 0 2 +Levante 3 0 +Levi 0 2 +Levin 2 0 +Lewandowski 2 0 +Lewis 3 0 +Lewis Capaldi 2 0 +Lewis Hamilton 15 28 +Lex Uiting 3 0 +Leão 0 2 +Lhakpa Sherpa 3 0 +Li 3 0 +Li Jiaying 2 0 +Li Jun Li 2 0 +Liam 5 0 +Liam Draxl 3 0 +Liam Gallagher 2 0 +Liam Lawson 2 0 +Liam Payne 5 0 +Liam Rosenior 4 0 +Liander 0 5 +Lid Keijzer 2 0 +Lidewij de Vos 8 3 +Lieke 0 7 +Lieke Klaver 2 0 +Lieke Marsman 0 16 +Liekinheitin 2 0 +Lieselot Mariën 3 0 +Lieske Carleer 2 0 +Lieve Monsters 0 2 +Lijnders 2 0 +Lijpe 3 0 +Lil Kleine 13 2 +Lil Kleine - F*CK KLEINE 4 0 +Lil Wayne 4 0 +Lilibet 2 0 +Lily Collins 2 0 +Lily James 2 0 +Lin King 2 0 +Linda 6 0 +Linda Lampenius 5 0 +Linda de Mol 2 0 +Lindsey Graham 2 0 +Lindsey Heaps 2 0 +Lineth Beerensteyn 0 2 +Lionel Messi 23 5 +Lionel Richie 2 2 +Lionel Scaloni 7 0 +Lionsgate 3 0 +Lisa 12 0 +Lisa Cook 0 2 +Lisa Konings 2 0 +Lisa Loeb 2 0 +Lisa Westerveld 5 0 +Little Britain 0 2 +Littler 4 0 +Livano Comenencia 0 2 +Lively 4 2 +Liverpool Leeftijd 2 0 +Liz Rijsbergen 6 0 +Liza 2 0 +Liza Kollau 2 0 +Lize Kop 0 4 +Locadia 0 2 +Locorriere 3 0 +Lodewijk XIV 3 0 +Loe Shimm 2 0 +Loeb 2 0 +Loek Peters 2 0 +Loekasjenko 2 0 +Loes Luca 0 2 +Loewe 2 0 +Logan 0 2 +Logius 11 0 +Loiza Lamers 4 0 +Lola 2 0 +Lola Young 2 0 +Longo Borghini 0 3 +Lopez 3 0 +Lordi 2 0 +Loreen 2 0 +Lorena Wiebes 13 4 +Lorenzo Buenaventura 2 0 +Lorenzo Musetti 2 0 +Lotte Keukelaar 2 0 +Lotte Kopecky 8 0 +Lotte Peeters 2 0 +Lotte van Kruistum 0 8 +Loua Billy Spaaij Kollau 2 0 +Louis 11 0 +Louis Theroux 2 0 +Louis Tomlinson 2 0 +Louis Vuitton 5 0 +Louis van Gaal 4 3 +Louise Elffers 2 0 +Lovv 3 0 +Lowe 2 0 +Lubbers 2 0 +Luca Zidane 0 2 +Lucas 10 2 +Lucas Auer 13 0 +Lucas Cepeda 0 2 +Lucas Digne 2 0 +Lucas Rosa 2 0 +Lucia van Geuns 2 0 +Luciano Darderi 5 0 +Luciano Valente 7 2 +Lucinda Brand 0 2 +Luckassen 0 2 +Lucy B. 0 2 +Luis Enrique 16 0 +Luis Suárez 4 0 +Luis de la Fuente 3 0 +Luiten 2 7 +Luiz Inácio Lula da Silva 5 0 +Luk Wyns 0 2 +Luka Modric 2 0 +Lukas Dhont 12 0 +Luke Cage 2 0 +Luke Humphries 5 2 +Luke Littler 8 0 +Luke Woodhouse 2 0 +Lula 7 0 +Lululemon Athletica 0 2 +Luther 0 2 +Lutnick 2 0 +Lutsharel Geertruida 9 3 +Luuk Ikink 2 0 +Luuk de Jong 3 0 +Luís Suárez 2 0 +Lyan Verburg 3 0 +Lyhanna 0 5 +Lynn Groenewegen 2 0 +Lynn Wilms 0 4 +Lyson 2 0 +M. 4 4 +M.I.A. 0 2 +MC 2 0 +Ma 2 0 +Maan 2 0 +Maan de Steenwinkel 0 2 +Maarten Camps 0 2 +Maarten Goorhuis 2 0 +Maarten Martens 2 0 +Maarten Paes 4 0 +Maatsen 2 0 +Maayke Kasper 2 0 +Mabel Wisse Smit 5 0 +Mabel van Oranje 2 0 +Mac Studio 2 0 +Macaulay Culkin 2 0 +Macron 12 9 +Madars Razma 3 0 +Madison Keys 0 2 +Madonna 12 3 +Maduro 10 0 +Maggie Betts 0 2 +Magnier 7 0 +Magnus Brunner 0 3 +Maguire 3 0 +Magyar 20 9 +Mahmood 2 0 +Mahmoud Ahmadinejad 2 0 +Mahmoud M. 0 2 +Maia Sandu 2 0 +Maietta 2 0 +Maikel Boon 2 0 +Maikel van Wissen 2 0 +Maimouna Doucouré 2 0 +Maja Chwalinska 4 11 +Maja Chwalińska 0 6 +Makis Keravnos 2 0 +Malek F. 3 0 +Malik Tillman 2 0 +Malkinson 0 2 +Malkinsons 0 2 +Malkovich 2 0 +Man 16 7 +Mandelson 4 2 +Mandy 0 2 +Manel Estiarte 2 0 +Manet 2 0 +Manifold 5 0 +Manifolds 2 0 +Mann 3 0 +Manon Leijten 3 0 +Manouska Molema 2 0 +Manuel Broekman 0 2 +Manuel González 4 0 +Manuel Neuer 9 0 +Manuel Ugarte 2 0 +Manuele Tarozzi 2 0 +Maná 3 0 +Mao Itamura 4 0 +Mao R. 0 2 +Marathon Groningen 2 0 +Marc 0 2 +Marc Dullaert 2 0 +Marc Guéhi 2 0 +Marc Jacobs 3 3 +Marc Márquez 6 2 +Marc Overmars 2 0 +Marc Reef 0 2 +Marc Soler 6 0 +Marca 5 0 +Marcel Klok 0 2 +Marcel Musters 3 0 +Marcel Oosterveer 2 0 +Marcelo Bielsa 3 0 +Marcia Lucas 3 0 +Marco Bezzecchi 6 2 +Marco Bizot 6 0 +Marco Borsato 11 4 +Marco Geijtenbeek 2 0 +Marco Langbroek 2 0 +Marco Rente 2 0 +Marco Rubio 43 6 +Marco Trungelliti 2 0 +Marco van Basten 0 3 +Marcos 4 0 +Marcos Llorente 2 0 +Marcouch 6 17 +Marcus Berg 2 0 +Marcus Rashford 4 0 +Mardi Gras 0 4 +Margaret Atwood 2 0 +Margaret Thatcher 0 2 +Margarita 16 0 +Margo de Kock 2 0 +Margot Robbie 2 0 +Margrethe 18 4 +Margriet 8 4 +Margriet Hermans 0 2 +Maria Magdalena 2 0 +Maria Sakkari 0 2 +Maria Van Kerkhove 3 0 +Mariah Carey 4 0 +Marian 2 0 +Marianne Thieme 0 8 +Marianne Vos 5 0 +Marianne van Leeuwen 4 0 +Marie 2 0 +Marie Verbraeken-Blommaart 2 0 +Marieke 7 0 +Marieke Elsinga 7 0 +Mariela Garriga 2 0 +Marine Le Pen 2 0 +Marineschip Evertsen 3 0 +Marink Reedijk 2 0 +Marinus Dijkhuizen 2 0 +Mario 0 2 +Mario Draghi 3 0 +Mario Goossens 2 0 +Mario R. 0 2 +Marion Bunel 5 0 +Marion Koopmans 12 3 +Maris 2 0 +Marisa Olislagers 4 0 +Mariska Bauer 2 0 +Marius Borg Høiby 11 6 +Mariëlle Bruning 2 0 +Mariëtte Hamer 3 0 +Marjan Minnesma 4 0 +Marjane Satrapi 0 5 +Marjolein Faber 6 0 +Marjolijn Wegkamp 2 0 +Mark 3 2 +Mark Allen 2 0 +Mark Boumans 2 0 +Mark Butler 2 0 +Mark Carney 7 0 +Mark Chavez 3 0 +Mark Dunsbergen 2 0 +Mark Flekken 8 4 +Mark Hamill 3 0 +Mark Livesey 2 0 +Mark Lyson 4 0 +Mark Norris 2 0 +Mark Roscam Abbing 0 4 +Mark Rothko 4 0 +Mark Ruffalo 2 0 +Mark Rutte 33 13 +Mark Simon Bentley 2 0 +Mark Verheijen 9 0 +Mark Zuckerberg 4 0 +Mark van Bommel 2 0 +Markuszower 35 0 +Marleen de Rooy 3 0 +Marlen Reusser 0 3 +Marley Dors 3 0 +Marlies Genz 0 2 +Marlijn Weerdenburg 2 0 +Marloes 2 0 +Marlon 0 3 +Marlon U. 0 3 +Marlous Nieuwveen 3 0 +Maro Engel 3 0 +Maroš Šefčovič 0 2 +Marquinhos 3 0 +Marrit Steenbergen 4 0 +Marsh Königs 2 0 +Marsman 0 13 +Mart Hoogkamer 4 0 +Marta Kostjoek 0 2 +Marta Kostyuk 0 2 +Marten de Roon 10 4 +Marthe 4 0 +Marthe De Pillecyn 3 3 +Martijn Hagman 0 2 +Martijn Krabbé 3 0 +Martijn Lakemeier 4 0 +Martijn Ridderbos 2 0 +Martijn Rijke 2 0 +Martin 4 0 +Martin Bosma 2 0 +Martin Garrix 4 0 +Martin Green 10 0 +Martin Hansen 2 0 +Martin Landaluce 2 0 +Martin Marcellusi 2 0 +Martin Schindler 2 0 +Martin Scorsese 2 6 +Martin Sitalsing 3 0 +Martin Sommer 6 0 +Martin Verkerk 2 0 +Martin Ødegaard 4 3 +Martina 4 0 +Martina McBride 4 0 +Marty Makary 2 0 +Marty Smits 0 5 +Mary 7 5 +Marylio V. 3 0 +Masako 0 4 +Masoud Pezeshkian 2 0 +Massie 4 3 +Massimiliano Allegri 4 0 +Matcha Coco 2 0 +Matej Kovar 2 0 +Mateo Chávez 2 0 +Mathangi Arulpragasam 0 2 +Matheu Hinzen 3 0 +Matheus Cunha 2 0 +Mathieu van der Poel 3 0 +Mathijs 4 0 +Mathilde 19 2 +Mathis Suray 2 0 +Mats Wieffer 8 6 +Matt 3 0 +Matt Charman 3 0 +Matt Damon 3 0 +Matt Davies 0 2 +Matt Lucas 5 0 +Matt Mahan 0 2 +Matt Winston 2 0 +Matteo Arnaldi 10 9 +Matteo Berrettini 0 4 +Matteo Messina Denaro 2 0 +Matteo Salvini 2 0 +Matthew 2 0 +Matthew Perry 9 0 +Matthew Quirk 2 0 +Matthew Spatola 2 0 +Matthew Whitaker 2 0 +Matthijs de Ligt 14 0 +Matthijs van Nieuwkerk 8 0 +Mattia Bais 3 0 +Mattias Grafström 3 0 +Mattias Ripa 0 3 +Mattie Valk 3 0 +Maurice Steijn 4 0 +Maurice de Hond 4 0 +Maurits 2 0 +Maurizio Cattelan 3 0 +Mauro Júnior 2 0 +Max 8 4 +Max Poole 2 0 +Max Roach 2 0 +Max Smedes 4 0 +Max Verstappen 57 33 +Maxim 2 0 +Maxime Prévot 3 0 +Maximilian Mittelstädt 3 0 +Maykel Piron 0 2 +Mazur 2 0 +Mbappé 5 0 +McCartney 7 4 +McFarlane 3 0 +McKendrick 0 2 +McLean 2 0 +Me Nou 4 0 +Medische Zorg 0 4 +Medvedev 3 0 +Meera Syal 0 2 +Meeuwis 4 0 +Meg Marinis 2 0 +Meg O'Neill 2 0 +Meghan 11 0 +Meghan Markle 6 0 +Mehdi Taj 7 0 +Mehdi Taremi 2 0 +Meijer 10 0 +Meike Wijers 2 0 +Meis 2 0 +Mekies 2 0 +Mel Gibson 2 0 +Melania 3 0 +Melania Trump 2 0 +Meloni 5 0 +Melvin Boel 0 2 +Melvine Malard en Sandy Baltimore 0 2 +Memphis Depay 26 21 +Meningokokken B-ziekte 3 0 +Menno 2 0 +Menno Barreveld 2 0 +Menno Helmus 2 0 +Mensík 0 2 +Merckx 2 0 +Meredith Grey 2 0 +Merel Conijn 2 0 +Merel Westrik 2 0 +Merijn Zeeman 0 2 +Merkel 2 0 +Merz 16 9 +Messi 17 5 +Mestrum 0 4 +Meteoor 2 0 +Mette Frederiksen 0 4 +Mette-Marit 25 32 +Mexx Meerdink 3 0 +Miatta Fahnbulleh 3 0 +Michael 12 3 +Michael Berg 7 0 +Michael Boogerd 2 0 +Michael Bublé 3 0 +Michael Carrick 3 0 +Michael Colijn 2 0 +Michael Fassbender 2 0 +Michael Jackson 21 4 +Michael Jordan 3 0 +Michael Leiters 2 0 +Michael O'Leary 2 0 +Michael Olise 4 0 +Michael Saylor 0 2 +Michael Schumacher 0 2 +Michael Storer 2 0 +Michael Valgren 3 0 +Michael Zheng 5 0 +Michael van Gerwen 12 2 +Michaela Coel 2 0 +Michaël 3 0 +Michel 5 5 +Michel van Bergen Henegouwen 4 0 +Michelin Guide 2 0 +Michelle 3 0 +Michelle Rasch 0 3 +Michelle Rodriguez 2 0 +Michiel Couzy 0 4 +Michiel Hoogeveen 0 5 +Michiel Kramer 3 0 +Michiel Lieuwma 6 0 +Michiel Servaes 2 0 +Michiel Vos 3 0 +Michiel van Erp 0 3 +Michon 0 2 +Michon-Derkzen 0 2 +Mick Jagger 9 0 +Mick van Dijke 5 0 +Micky van de Ven 10 6 +Microsoft Gaming 2 0 +Miedema 9 0 +Mighty Mike 3 0 +Miguel Díaz-Canel 7 5 +Miguel Ángel Sánchez Muñoz 0 2 +Miho Takagi 2 0 +Mika Godts 17 0 +Mikal Tseggai 2 0 +Mike 2 0 +Mike Brown 3 0 +Mike Langen 3 0 +Mike Tyson 5 0 +Mike van der Hoorn 7 0 +Mikel Arteta 20 0 +Mikey 3 0 +Mikkel Bjerg 4 0 +Mikkers 0 6 +Mikky Keetels 2 0 +Milan 4 0 +Milan Zonneveld 2 0 +Milan de Haan 2 0 +Miles 2 0 +Miles Davis 6 0 +Miley Cyrus 5 0 +Milli Vanilli 3 0 +Millwall 2 0 +Milou van der Kolk 0 3 +Mimi 0 2 +Min 3 0 +Minaj 2 0 +Minnesota Lynx 4 0 +Minogue 3 0 +Mirco Maestri 2 0 +Miriam Haley 2 0 +Miriana Conte 2 0 +Mirjam Bikker 7 5 +Mirjam Sterk 9 6 +Mirjam Theelen 3 0 +Mirra 0 2 +Mirra Andreeva 0 8 +Mirra Andrejeva 0 6 +Miruta 0 2 +Mischa 2 0 +Mischa Bredewold 9 0 +Mislintat 4 0 +Missy Elliott 2 0 +Mitch Hahn 2 0 +Mitchell Froom 2 0 +Mo Salah 0 2 +Modi 20 0 +Modi Jetten 2 0 +Moens 2 0 +Mohamed Al Fayed 2 0 +Mohamed Ouahbi 2 2 +Mohamed R. 0 2 +Mohamed Salah 6 0 +Mohammad Bagher Ghalibaf 3 0 +Mohammad Baqer Saad Dawood al-Saadi 3 0 +Mohammadi 8 0 +Mohammed 0 2 +Mohammed Kudus 0 2 +Mohammed Odeh 3 0 +Mohammed bin Abdulrahman al-Thani 3 0 +Mohsen Rezaei 0 3 +Mojtaba Khamenei 7 4 +Mokio 5 0 +Mol 4 0 +Molenaar 3 0 +Moley 3 0 +Mona Keijzer 16 6 +Mondelez 2 0 +Mondex 2 0 +Monegask 0 2 +Mongwalu 2 0 +Monica 2 0 +Monica Bellucci 2 0 +Monica Geuze 3 0 +Monica Montefalcone 2 0 +Monica Seles 0 3 +Monique Smit 3 0 +Monroe 3 0 +Mooi Wark 2 0 +Moore 5 0 +Moors 2 0 +Morales 3 0 +Morgan 3 0 +Morgan Rogers 2 0 +Moriyasu 2 0 +Morris Day 3 0 +Mother Mary 3 0 +Motherless 5 3 +Mounir El Allouchi 7 0 +Mount Scenery 2 0 +Mourinho 3 0 +Moussa Soumano 2 0 +Moving Beyond Limits 2 0 +Mozes 0 2 +Moïse 2 0 +Moïse Kouame 3 0 +Mridha 2 0 +Muhammad Ali 3 0 +Muhammed S. 0 2 +Muijs 0 2 +Muis 2 0 +Mulder 4 2 +Muller 3 0 +Mungiu 4 0 +Murkomen 2 0 +Muro di Ca 2 0 +Murphy 5 0 +Murray 2 0 +Music On 4 0 +Musk 22 9 +Musters 3 0 +Mutluer 0 2 +Mythos 6 4 +Márquez 2 2 +Más Más Más 4 0 +Máxima 86 14 +Märtha Louise 2 0 +Mónica García 7 0 +Mühren 3 0 +NH 2 0 +Naberman 2 0 +Nabil B. 0 3 +Nadal 2 2 +Nadia Rashid 3 0 +Nadia de Vries 3 0 +Nagelsmann 2 2 +Naim Qassem 0 3 +Namens 2 0 +Nancy Pelosi 0 2 +Nanyuki 0 2 +Naomi 13 0 +Naomi Mestrum 2 9 +Naomi Osaka 3 4 +Narendra Modi 20 3 +Narges 2 0 +Narges Mohammadi 7 0 +Narges Rashidi 5 0 +Naruhito 3 5 +Narváez 6 0 +Nasire Best 2 0 +Nasser 3 0 +Nasser Al Khelaifi 2 0 +Nassr 4 0 +Nastassja Kinski 0 5 +Natasha Brown 2 0 +Nate Swanson 2 0 +Nathan Aké 11 3 +Nationaal Monument 7 0 +Nationaal Park 2 0 +National Geographic History 2 0 +Natter 4 0 +Nawaf Salam 3 2 +Nawrocki 7 0 +Nelson Mandela 0 3 +Nemo 2 0 +Netanyahu 40 23 +Nettavisen 3 0 +Neuer 7 0 +Neves 2 0 +Nevill Ruiter 0 3 +New York Giuliani 2 0 +Nexperia 6 0 +Neymar 9 0 +Niall Horan 6 0 +Niamh Fisher-Black 0 2 +Nicholas Yelloly 2 0 +Nick Bril 3 2 +Nick Cage 2 0 +Nick Cannon 2 0 +Nick Doodeman 3 0 +Nick Schilder 2 0 +Nicki Minaj 5 0 +Nicky Catsburg 3 0 +Nicky Hilton 2 0 +Nico Brinkel 2 0 +Nico Williams 2 0 +Nicol Kremers 12 0 +Nicola Roberts 2 0 +Nicolaas Veul 2 0 +Nicolas Cage 2 0 +Nicolas Kim Coppola 2 0 +Nicolas Raskin 0 2 +Nicole Kidman 2 0 +Nicole Saphier 2 0 +Nicole Scherzinger 2 0 +Nicolette Kluijver 2 0 +Nicolás Maduro 5 0 +Nicolás Tagliafico 2 0 +Nicusor Dan 2 3 +Nicușor Dan 5 0 +Niedermaier 0 6 +Nieloefaar Bahadori 2 0 +Niels Wennemars 3 0 +Niels Zonneveld 3 0 +Nielsen 3 0 +Niemeijer 3 0 +Niermann 0 2 +Nieuwenkamp 2 0 +Nigel Farage 12 3 +Nigel de Jong 4 0 +Niki Lauda 8 0 +Nikkie Plessen 2 0 +Niklas Vesterlund 4 0 +Nikol Pasjinjan 0 5 +Nikolai 2 0 +Nikoloz Basilashvili 2 0 +Nile Rodgers 3 0 +Nina 2 0 +Nina Gold 2 0 +Nina Jurna 3 0 +Ning 2 0 +Nino 0 2 +Nippon Paint 5 5 +Noa 4 0 +Noa Lang 11 0 +Noa Vahle 2 0 +Noah Kahan - The Great Divide 3 0 +Noah Naujoks 2 0 +Noam Bettan 25 0 +Noano 4 0 +Noel Gallagher 5 0 +Noemi Rüegg 2 0 +Nolan 0 2 +Noni Madueke 4 0 +Noor Driessen 0 6 +Noord 0 2 +Noort 2 0 +Noorzai 2 0 +Nooshin 2 0 +Noppert 2 2 +Nora Fatehi 3 0 +Noraly Beyer 4 2 +Nordin Bukala 3 0 +NorthC 6 0 +Noslin 4 0 +Noussair Mazraoui 4 4 +Novak Djokovic 27 7 +Novo Nordisk 2 0 +Novus 2 0 +Nowak 0 3 +Noé Lebreton 2 0 +Noël van Kleef 2 0 +Nuno Borges 2 0 +Nuno Mendes 6 0 +Nuno Tavares 2 0 +Nurija van Schoonhoven 2 0 +Nutrilon 2 0 +O'Brien 3 0 +O'Hara 2 0 +O'Leary 2 0 +OPEC+ 2 0 +OVpay 2 0 +Obama 9 0 +Occasionally 8 0 +Oceanwide 10 0 +Oceanwide Expeditions 22 0 +Ochoa 0 3 +Oddo BHF 2 0 +Odeh 2 0 +Odido Internet 3 0 +Oeh 3 0 +Offlimits 4 0 +Ogawa 3 0 +Oklahoma City Thunder 9 0 +Oksana Selechmeteva 2 0 +Olaf Sleijpen 5 0 +Olav Kooij 4 0 +Olav Mol 2 0 +Old Navy 2 0 +Oleksandr 2 0 +Oleksandr Usyk 20 0 +Olie 4 0 +Oliver Baumann 4 0 +Oliver Bearman 0 2 +Oliver Glasner 2 0 +Oliver Lindell 0 2 +Olivia Colman 2 0 +Olivia Dean 5 0 +Olivia Dean - Rein Me In 3 0 +Olivia Rodrigo 7 3 +Ollie Watkins 4 0 +Ollynik 2 0 +Olympique Marseille Leeftijd 2 0 +Omar 2 0 +Omar Hakim 2 0 +Omar Marmoush 4 0 +Omar Rekik 2 2 +Omoda 0 3 +Omroep Zwart 5 0 +One Night Stand 2 0 +Only Joling 0 2 +Oosenbrug 2 0 +Oosterhuis 3 0 +Oosting 3 0 +Opalite 2 0 +Operatie Epic Fury 2 0 +Oprah Winfrey 2 2 +Optredens Ye 2 0 +Opvarenden Hondius 2 0 +Opwekking 2 0 +Orbán 17 7 +Oresjnik 2 0 +Orlin 2 0 +Ortiz 5 0 +Osasuna 2 0 +Oscar 3 2 +Oscar Gloukh 3 0 +Oscar Piastri 11 0 +Osinga 0 2 +Otten 3 0 +Ottman 2 0 +Otto Rehhagel 4 0 +Ousmane Dembélé 11 0 +Oussama Targhalline 4 0 +Ouwehand 3 8 +Oviedo 4 0 +Owen Cooper 6 0 +Owen Wijndal 2 0 +Owusu-Oduro 2 0 +Oxfam Novib 3 0 +Ozalj 2 0 +P. 0 2 +PVV-afsplitser Markuszower 4 0 +Paas 4 0 +Paay 6 0 +Pablo Carreño Busta 3 0 +Pablo van de Poel 3 0 +Padam Padam 3 0 +Paddenburg 2 0 +Paes 2 0 +Page Six 2 0 +Pais 2 0 +Palantir 4 0 +Palestine Action NL 2 0 +Pallegama Hemarathana 2 0 +Palmen 0 2 +Palmer 2 0 +Paloma Valencia 2 2 +Palvin 2 0 +Pam Bondi 6 0 +Pannekoek 0 2 +Papperger 2 0 +Park 2 0 +Park Chan-wook 4 0 +Parkinson 3 0 +Parry 3 0 +Participatie 3 4 +Pascal Bosschaart 3 0 +Pascal Jansen 2 3 +Pasjinjan 0 4 +Pasjinjans 0 3 +Patek Philippe 4 0 +Patel 2 0 +Paternotte 6 0 +Patrice Désilets 0 2 +Patricia 3 0 +Patricia Paay 6 0 +Patrick Benguigui 2 0 +Patrick Bruel 5 0 +Patrick Busby 2 0 +Patrick Kerssemakers 2 0 +Patrick Kluivert 2 0 +Patrick Martens 2 0 +Patrick Moeke 4 0 +Patrick Roest 2 0 +Patty Zomer 2 0 +Paul 10 2 +Paul Gladon 3 0 +Paul Laverty 3 0 +Paul Magnier 11 0 +Paul McCartney 20 6 +Paul Pressler 3 0 +Paul Quinn 0 2 +Paul Rudd 2 0 +Paul Seixas 3 0 +Paul Simon 3 0 +Paul Simonis 3 2 +Paul V. 2 0 +Paul Vugts 3 0 +Paul Walker 2 0 +Paul Wanner 4 0 +Paul de Leeuw 3 5 +Paula Abdul 2 0 +Paula Blasi 6 2 +Paulien 2 0 +Paulien Cornelisse 2 0 +Pauw 6 0 +Pavel 2 0 +Paxton 2 0 +Payne 6 0 +Paz 3 0 +Peabo 0 3 +Peabo Bryson 0 5 +Peaky Blinders 4 0 +Pedri 3 0 +Pedro Acosta 2 2 +Pedro Pascal 5 0 +Pedro Sánchez 14 4 +Peer Koopmeiners 2 0 +Peeters 3 0 +Pelicot 2 0 +Pellizzari 2 0 +Pep Guardiola 8 0 +Pepijn Lanen 0 2 +Pepijn Lijnders 2 0 +Per van Loon 2 0 +Pereira Marghidan 2 0 +Perez 3 4 +Perisic 4 0 +Permian Basin 2 0 +Perry 9 0 +Peskov 0 2 +Petar Sekulic 0 2 +Petar Sucic 2 0 +Pete Davidson 2 0 +Pete Hegseth 11 2 +Pete Parkkonen 5 0 +Peter 6 3 +Peter Boelhouwer 2 0 +Peter Bosz 12 0 +Peter Buwalda 3 0 +Peter Fury 3 0 +Peter Gillis 16 0 +Peter Hein van Mulligen 3 0 +Peter Hofstede 2 0 +Peter Jackson 9 0 +Peter Koelewijn 2 0 +Peter Magyar 6 0 +Peter Mandelson 11 2 +Peter Moore 2 0 +Peter Pannekoek 0 2 +Peter Phillips 0 3 +Peter R. de Vries 5 0 +Peter Scholten 2 0 +Peter Sutherland 2 0 +Peter Terrin 3 0 +Peter Vlemmix 0 6 +Peter Wennink 2 4 +Peter de Waard 0 2 +Peter van den Bunder 2 0 +Peter van der Mede 2 0 +Petra 0 2 +Petra Doornenbal 0 2 +Petra Platschorre 4 0 +Petra Urban 2 0 +Petro 0 3 +Pezeshkian 4 0 +Phil Collins 4 0 +Phil Foden 5 0 +Philadelphia Union 5 0 +Philip 0 3 +Philips 3 0 +Phoebe Bridgers 0 2 +Phoenix 2 0 +PiS 2 0 +Piantedosi 0 2 +Picasso 2 0 +Picnic 2 0 +Picnic PostNL 3 0 +Pierce Brosnan 4 0 +Pierrakakis 3 0 +Pierre Deny 2 0 +Pierre Gasly 0 2 +Pierre van Hooijdonk 3 0 +Pierre-Emerick Aubameyang 2 0 +Pieter 3 0 +Pieter Duisenberg 10 0 +Pieter Hasekamp 2 0 +Pieter Heerma 3 3 +Pieter Heiliegers 2 0 +Pieter Koolwijk 3 0 +Pieter Omtzigt 2 0 +Pieter Rambags 3 0 +Pieter van Vollenhoven 8 2 +Pieter van den Hoogenband 0 3 +Pieter-Christiaan 3 2 +Pieterpad 2 0 +Pim Berendsen 2 0 +Pim Fortuyn 8 0 +Pim van der Horst 2 0 +Pinot Noir 2 0 +Pionier 2 0 +Pip Lucas 2 0 +Piqué 3 0 +Piron 0 2 +Pisas 5 0 +Pitt 4 0 +Plaid Cymru 7 0 +Plant 0 2 +Platense 2 0 +Plato 3 0 +Please Please Please 0 2 +Ploos van Amstel 4 0 +Podcast De Stemming 2 0 +Poels 4 0 +Poetin 47 25 +Poku 2 0 +Pol 0 3 +Poldervaart 2 0 +Pols 3 14 +Pop 4 2 +Popolo 4 0 +Poppy Delevingne 2 0 +Popyrin 2 0 +Potapova 2 0 +Powell 6 0 +Power 2 0 +Praatsessies 2 0 +Prestianni 3 0 +Price 2 0 +Prime Video 7 0 +Prince 4 4 +Prinsen 0 2 +Priscilla Slomp 3 0 +Privé 3 0 +Priya Dogra 2 0 +Prizmic 2 0 +Pro Max 2 0 +Project Freedom 11 0 +Promes 3 0 +Prosus 4 2 +Protime 5 0 +Prudon 0 2 +Pulte 0 3 +Punt 4 0 +PwC 3 0 +Péter Magyar 20 9 +Qasem Soleimani 2 0 +Qian van Binsbergen 4 0 +Qlas 2 0 +Qualifier Chwalińska 0 2 +Queen Latifah 5 0 +Quentin Halys 5 2 +Quiet 5 0 +Quincy Promes 3 0 +Quinn 0 2 +Quinten Timber 8 2 +R. 3 4 +RWS 3 0 +Raben 2 0 +Rachel 2 0 +Rachel Reid 2 0 +Rachel Rosier 0 2 +Radboudumc 9 0 +Raden Intan 3 0 +Radev 2 0 +Radoslaw Sikorski 2 0 +Rafael Jodar 3 0 +Rafael Jódar 4 4 +Rafael Nadal 8 4 +Rafael van der Vaart 4 2 +Raheem Sterling 10 0 +Raisa Blommestijn 4 0 +Ralph Lauren 2 0 +Ram 2 0 +Rama 0 2 +Ramiz Zerrouki 4 2 +Ramon Gorter 2 0 +Ramon Hendriks 4 0 +Ramona Agruma 2 0 +Ramses Shaffy 0 2 +Randal Kolo Muani 2 0 +Ranko Scekic 2 2 +Ranneke Derks 2 0 +Raphaël Collignon 2 0 +Raphinha 0 3 +Rappers Chivv 2 0 +Rasch 0 3 +Rashid 2 0 +Rasmus Højlund 2 0 +Ray 2 0 +Ray Sawyer 3 0 +Rayan Cherki 3 0 +Rayane Bounida 5 0 +Raye 5 0 +Raymond van Barneveld 2 0 +Rayo 0 2 +Raúl Castro 9 5 +Rebecca Gomperts 0 2 +Rebel Wilson 2 0 +Recep Tayyip Erdogan 3 2 +Reddit 3 0 +Reed Hastings 0 2 +Reef 0 2 +Reeves 2 0 +Reggeborgh 2 0 +Reggio Emilia 2 0 +Regina Belle 0 3 +Reid 0 3 +Reijn 3 0 +Reijnders 2 0 +Reijnen 2 0 +Reinette Klever 2 0 +Reinier Zonneveld 2 0 +Reinier van Zutphen 4 0 +Reinout V. 0 2 +Reis 3 0 +Rekik 2 0 +Rekker 0 2 +Rembrandt 3 0 +Remco Evenepoel 2 0 +Remko Keizer 2 0 +Remko Pasveer 2 0 +Renate 0 3 +Renate Jansen 7 0 +Renate Reinsve 3 0 +Rendo 0 2 +Renee van Asten 3 0 +Rensch 2 0 +Renze Klamer 2 0 +René F. 3 0 +René Froger 2 0 +René Hake 0 2 +René Paas 4 0 +René van Kooten 4 0 +Renée Slegers 2 0 +Reusken 4 0 +Reynders 3 0 +Reynolds 2 0 +Rezaei 0 2 +Ria 4 0 +Ria Bremer 2 0 +Ria Brieffies 2 0 +Rian Gerritsen 2 0 +Rianne Letschert 7 9 +Ricardo Pepi 8 0 +Ricardo Salinas Pliego 2 0 +Richard Groenendijk 2 0 +Richard Plugge 0 2 +Richards 2 0 +Richarlison 2 0 +Richins 2 0 +Richters 2 0 +Rick 2 0 +Rick Beukers 4 0 +Rick Engelkes 2 0 +Rick Kruys 9 0 +Ricky 2 0 +Ricky Koole 2 0 +Rico 9 0 +Rico Schröder 2 0 +Rico Verhoeven 21 2 +Ridder 6 0 +Ridouan Taghi 16 7 +Riechedly Bazoer 2 0 +Riejanne Markus 2 0 +Rigaux 4 5 +Rihanna 13 7 +Rikkerink 3 0 +Ringkøbing 2 0 +Ringo Starr 4 0 +Rinus 2 0 +Rinus Michels 2 0 +Rinus van Kalmthout 3 0 +Rio Ngumoha 2 0 +Riola Xhemaili 4 0 +Riot 2 0 +Ristoski 2 0 +Rita Butler Barrett 2 0 +Roald Dahl 2 0 +Roald van der Linde 2 0 +Rob 3 2 +Rob Base 3 0 +Rob Cross 2 0 +Rob Dieperink 2 0 +Rob Geus 2 0 +Rob Jetten 64 15 +Rob Kemps 2 0 +Rob Zweekhorst 3 0 +Rob van Muilekom 0 2 +Rob van Someren 2 0 +Robbert Huijsman 3 0 +Robbie Hall 2 0 +Robert 0 3 +Robert Brovdi 2 0 +Robert Doornbos 0 3 +Robert Downey Jr. 2 0 +Robert Eenhoorn 8 9 +Robert Fico 2 0 +Robert Ginyard 2 0 +Robert Lavarre 2 0 +Robert Lewandowski 6 0 +Robert Mühren 3 0 +Robert Pattinson 2 2 +Robert Smith 4 0 +Robert Vinkenborg 2 2 +Robert ten Brink 2 0 +Robert van Asten 2 0 +Robert van Hemert 4 3 +Robert van der Laan 2 0 +Roberto De Zerbi 6 0 +Roberto Lagalla 0 3 +Roberto Martínez 2 0 +Roberts 2 0 +Robertson 0 2 +Robin J. 2 0 +Robin Kroes 3 0 +Robin Roefs 7 7 +Robin Veldman 4 0 +Robin van Persie 31 10 +Robinho Júnior 2 0 +Rocca 2 0 +Rock Music 0 2 +Rocki 2 0 +Rod Stewart 3 0 +Rode Kaart 3 0 +Roderik Rekker 0 3 +Rodney Bryce 2 0 +Rodrigo 6 2 +Rodrigo Bentancur 2 0 +Rodrigo Chaves 2 0 +Rodrigo Duterte 7 0 +Rodrigo Paz 2 0 +Rodríguez 5 0 +Roefs 2 4 +Roel Nieuwenkamp 3 0 +Roel Reineman 2 0 +Roel van Velzen 2 0 +Roeland Fernhout 0 3 +Roeland ten Berge 5 0 +Roelien Kamminga 7 0 +Roelvink 3 0 +Roest 2 0 +Rogen 3 0 +Roger 0 2 +Roger Cox 2 0 +Roger Federer 6 0 +Roger Neve 0 2 +Roger Wicker 3 0 +Rogers 3 0 +Rogier 2 0 +Rogier Meijer 3 0 +Roland Lescure 3 0 +Rolf Sanchez 12 0 +Rolien Sasse 2 0 +Romain Gavras 2 0 +Roman Safiullin 2 0 +Rome-Jayden Owusu-Oduro 2 0 +Romelu Lukaku 0 2 +Ron Carter 2 0 +Ron DeSantis 4 0 +Ron Jans 15 0 +Ronald 5 0 +Ronald Dela Rosa 6 0 +Ronald Giphart 2 0 +Ronald Koeman 82 47 +Ronald Koeman jr. 2 0 +Ronald Plasterk 6 0 +Ronald dela Rosa 2 0 +Ronald van der Horst 4 0 +Ronaldo 10 3 +Ronnie 0 2 +Ronnie Flex 9 4 +Ronnie Wood 3 0 +Roos de Ridder 4 0 +Roos van Erkel 2 0 +Rory Culkin 2 0 +Ros Beiaard 0 2 +Rosanna Maietta 2 0 +Rosanne Sies 12 0 +Rose Estelle 2 0 +Rosie O'Donnell 2 0 +Rosier 0 2 +Ross 2 0 +Ross Duffer 2 0 +Ross Smith 3 0 +Rowan Besselink 3 0 +Roxeanne 3 0 +Roxeanne Hazes 10 2 +Roxy Dekker 5 2 +Roy Kent 0 2 +Roy Steur 2 0 +Roy van Zuydewijn 11 0 +Royal Lodge 0 2 +Rozetruidrager Afonso Eulálio 2 0 +Ruben 3 0 +Ruben Block 2 0 +Ruben Brekelmans 11 0 +Ruben Hanevelt 2 0 +Ruben Hillen 5 0 +Ruben Nicolai 2 0 +Ruben Providence 0 2 +Ruben Rolvink 2 0 +Rubio 44 2 +Rudi Garcia 2 2 +Rudy Giuliani 4 0 +Rue Bennett 0 3 +Ruiter 0 3 +Ruiters 10 2 +Rumen Radev 3 0 +Rupert Giles 0 2 +Rupert Mannion 0 2 +Russell 16 0 +Rutger 4 0 +Rutger Groot Wassink 2 0 +Rutger Otto 2 0 +Rutger Vink 4 0 +Ruth Jager 2 0 +Ruth Negga 3 0 +Rutte 21 12 +Rutten 17 0 +Ruud 7 0 +Ruud Gullit 3 2 +Ruud van Nistelrooij 0 5 +RvS 2 0 +Ryan 2 0 +Ryan Christie 2 0 +Ryan Cohen 9 0 +Ryan Gravenberch 12 7 +Ryan Reynolds 5 0 +Ryan Searle 2 0 +Rypke 2 0 +Rypke Bakker 2 0 +Rémi Cavagna 3 0 +Rúben Amorim 2 0 +S. 0 3 +SWR 2 0 +Saad Lamjarred 2 0 +Saar 2 0 +Sabalenka 8 6 +Sabri Lamouchi 2 2 +Sabrina Carpenter 4 3 +Saddam 2 0 +Sadio Mané 3 0 +Saibari 7 2 +Said Bakkati 2 0 +Saif Abukeshek 2 0 +Saint Martin 2 0 +Sal Da Vinci 2 0 +Salah 3 2 +Salinas 2 0 +Salma Paralluelo 2 0 +Salvador Plasencia 3 0 +Sam 2 2 +Sam Altman 5 4 +Sam Beukema 3 0 +Sam Fahd Abu Haikal 0 3 +Sam Fender 6 0 +Sam de Jong 2 0 +Sam van Royen 4 0 +Samantha F. 3 0 +Samantha Steenwijk 2 0 +Samenleving 0 4 +Samir Hassan 2 0 +Samuel 2 0 +Samuel Bamba 2 0 +Samuel Leijten 3 0 +Samuel Welten 5 2 +Samvel Karapetjan 0 2 +Sana C. 4 0 +Sander van der Eijk 7 0 +Sanders 12 0 +Sandra 4 0 +Sandra Palmen 0 2 +Sandra van Embricqs 3 0 +Sangha 5 0 +Sangiovese 2 0 +Sankt Pauli 2 0 +Sanna Veerman 2 0 +Sanne 3 0 +Sanne Oving 6 0 +Santana 2 0 +Santiago Arias 2 0 +Santos 9 0 +Sara Bejlek 2 0 +Sara Duterte 2 0 +Sarah Ferguson 4 0 +Sarah Michelle Gellar 0 2 +Sarah Sjöström 3 0 +Sarawak 2 0 +Sarina Wiegman 4 3 +Sarri 2 0 +Saskia Egas Reparaz 2 0 +Saskia Noort 2 0 +Satrapi 0 5 +Saudi Aramco 3 0 +Sauli Niinistö 2 0 +Sauron 2 0 +Savage Love 2 0 +Savile Row 3 0 +Savinho 2 0 +Saxion 2 0 +Saxophone Colossus 4 0 +Saïd R. 2 4 +Scale 2 0 +Scarlett Johansson 0 2 +Scekic 0 2 +Schilder 6 2 +Schmid 2 0 +Schmidt 2 0 +Schollaardt 2 0 +Schols 0 2 +Scholten 2 0 +Schoof 0 6 +Schouten 18 3 +Schreuder 4 0 +Schröder 5 0 +Schumacher 0 2 +Schut 5 0 +Schuurs 0 2 +Scorsese 0 3 +Scott Bessent 6 2 +Scott McTominay 3 0 +Sde Teiman 2 0 +Sead Kolasinac 2 0 +Sean Barbabella 3 0 +Sean Connery 3 0 +Sean Duffy 2 0 +Sean Flynn 2 0 +Sebastian Nanasi 0 2 +Sebastian Stan 6 0 +Sef 7 3 +Seffie 2 0 +Segaert 2 0 +Sejong 3 0 +Selechmeteva 2 0 +Select 2 0 +Selena Gomez 3 0 +Selma van de Perre 2 0 +Sem Steijn 7 0 +Semenyo 3 0 +Sen 2 0 +Senna 2 0 +Sepp Blatter 0 2 +Sepp Kuss 5 0 +Serena Williams 2 5 +Sergej Barbarez 2 0 +Sergiño Dest 2 0 +Servé Hermans 2 0 +Seth Meyers 6 0 +Seth Rogen 3 0 +Seyed A. 0 2 +Seyffardt 2 0 +Shabana Mahmood 2 0 +Shahbazi 6 0 +Shai Gilgeous-Alexander 7 0 +Shake It Off 3 0 +Shake Shack 2 0 +Shakira 16 0 +Shania Twain 2 2 +Shanna Slaap 5 0 +Shaqueel van Persie 2 0 +Shaquille Emanuelson 2 0 +Shari Bossuyt 2 0 +Sharif 4 0 +Sharon Dijksma 11 0 +Shaun Murphy 3 0 +Shawn Ryan 2 0 +Shawn Wayans 0 2 +Sheeran 2 0 +Shehbaz Sharif 6 0 +Shein 2 0 +Sheinbaum 3 0 +Sherel Floranus 2 0 +Sherine Falasteen 2 0 +Sherpa 0 2 +Shi 2 0 +Shi Yongxin 2 0 +Shia LaBeouf 0 4 +Shima Kaes 2 0 +Shirma Rouse 5 0 +Shonda Rhimes 2 0 +Shrinking 2 0 +Shurandy Sambo 2 0 +Shuz 0 2 +Sid 2 0 +Sidney Smeets 4 0 +Sidny Lopes Cabral 3 0 +Sieg Heil 5 0 +Siegert Baartmans 2 0 +Signify 2 0 +Sigourney Weaver 2 0 +Sijmons 2 0 +Sikorski 2 0 +Silina 3 0 +Siliņa 4 0 +Silva 3 0 +Silvia 3 3 +Silvio Erkens 2 0 +Simcha Rothman 2 0 +Simic 4 0 +Simon 2 0 +Simon Ceulemans 2 0 +Simon Fortuyn 5 0 +Simon Yates 2 0 +Simone Biles 0 3 +Simoni 2 0 +Simons 3 0 +Simpel 2 0 +Singh 3 0 +Sinner 24 4 +Sint 0 3 +Sint & De Leeuw 0 3 +Sinterklaas 0 3 +Sipke Hulshoff 0 2 +Sir David 2 0 +Sir David Attenborough 13 0 +Sisca Folkertsma 4 0 +Sitalsing 2 0 +Siyah 5 0 +Sjnajder 0 2 +Sjoerd Bax 2 0 +Sjoerd Sjoerdsma 12 13 +Sjoerd van Berge Henegouwen 2 0 +Sjoerdsma 4 13 +Sjöström 2 0 +Skeyes 0 4 +Sklarov 2 0 +Sky Sports 3 0 +Slagvaardige Overheid 2 0 +Slavia 2 0 +Slijters 2 0 +Sloots 9 0 +Slot 16 6 +Smeets 4 0 +Smit 6 5 +Smith 6 4 +Smits 0 4 +Smotrich 2 0 +Snel 2 0 +Snelle 5 4 +Snoop Dogg 2 0 +Soa Aids 4 0 +Sofa Productions 2 0 +Sofia Coppola 2 0 +Sofyan Amrabat 2 0 +Sohani 0 6 +Soleimani 2 0 +Soler 3 0 +Solvinity 8 0 +Sombr 2 0 +Songül Mutluer 5 0 +Sonja 19 3 +Sonny Rollins 4 0 +Sony Pictures 0 2 +Sophie 4 5 +Sophie Hermans 19 5 +Sophie Keizer 2 0 +Soudal Quick-Step 2 0 +Souffian El Karouani 8 0 +Soufiane Rahimi 0 2 +Soundos El Ahmadi 0 2 +Soy Kroon 6 0 +Spaaij 4 0 +Spaink 4 0 +Sparkle Sooknanan 2 0 +Spatola 2 0 +Spears 4 0 +Speelstad Rotterdam 2 0 +Spekman 3 0 +Speler van het Jaar 4 0 +Spielberg 0 3 +Spies 3 0 +Spike Lee 0 2 +Spits 3 0 +Splinter Chabot 10 0 +Sporza 2 0 +Sprenger 5 0 +Sprouse 2 0 +Spruds 4 0 +Sprūds 3 0 +St. Thomas 2 0 +Stam 5 0 +Stan 4 2 +Stan Raben 2 0 +Stan Wawrinka 16 0 +Stark 2 0 +Starmer 48 4 +Start slotetappe Ronde 2 0 +Stavros Floros 2 0 +Steam Machine 3 0 +Stedin 4 5 +Steef de Bot 2 0 +Stef Smit 2 0 +Stefan de Vrij 12 0 +Stegeman 3 0 +Steijn 4 0 +Steinmeier 2 0 +Stellan Skarsgård 3 0 +Stephan El Shaarawy 2 0 +Stephan Neijenhuis 0 3 +Stephanie van Eer 2 0 +Stephen 4 0 +Stephen Colbert 16 3 +Stephen Curry 2 0 +Stephen Graham 5 0 +Stephen Hendry 2 0 +Stephen Yaxley-Lennon 2 0 +Sterk 8 5 +Steve 2 0 +Steve Clarke 2 0 +Steve Daly 2 0 +Steve Hilton 0 3 +Steve Witkoff 2 3 +Steven Berghuis 5 0 +Steven Bergwijn 2 0 +Steven Brunswijk 0 2 +Steven Knight 3 0 +Steven Spielberg 4 3 +Steven van Eijck 0 2 +Stevie Wonder 0 2 +Stewart 3 0 +Stewart McLean 2 0 +Stichting Wigwam 2 0 +Stiekel 2 0 +Stientje van Veldhoven 10 2 +Stimulering Bouw 2 0 +Sting 2 0 +Stoffer 2 0 +Stoornis 2 0 +Stray Dogs 2 0 +Streeting 4 0 +Streisand 3 0 +Studio Antigone 0 2 +Stumo 2 0 +Stunna Sandy 3 0 +Styles 17 5 +Stéphane Séjourné 2 0 +Stéphanie Rist 3 0 +Substack 4 0 +Subway Surfers 2 0 +Sudoblock 3 0 +Suhail Al Mazrouei 2 0 +Sullivan 0 2 +Sultan Al Jaber 3 0 +Sulyok 0 4 +Sunderland Leeftijd 2 0 +Super Micro Computer 2 0 +Surfer 0 2 +Survivor Greece 2 0 +Susan Visser 3 0 +Susie Wiles 2 0 +Sutalo 3 0 +Suzan 10 0 +Suzan & Freek 18 0 +Suzan Lamens 7 0 +Suzan Stortelder 10 0 +Suzanne Bosman 2 0 +Suzanne Kröger 0 4 +Sven 8 0 +Sven Botman 3 0 +Sven Kockelmann 3 0 +Sven Mijnans 3 0 +Sven Mislintat 4 0 +Sverre Magnus 4 3 +Svitolina 2 0 +Swart 0 2 +Sweeney 0 2 +Swiatek 5 0 +Swiebertje 4 0 +Swift 3 0 +Sybiha 4 0 +Sydney Sweeney 3 4 +Sánchez 7 3 +Sébas Diekstra 7 0 +Sébastien Haller 7 0 +Sébastien Lecornu 2 0 +Søren Torpegaard Lund 3 0 +T-Pain 3 0 +TS 0 2 +TWh 2 0 +Taco Zimmerman 2 0 +Tadej Pogacar 4 2 +Tadic 2 0 +Taghi 14 6 +Tahith Chong 2 0 +Tahliah Barnett 0 2 +Tahliah Debrett Barnett 2 0 +Taiwan Travelogue 2 0 +Taiwo Awoniyi 2 0 +Taj 6 0 +Tajani 4 0 +Takehiro Tomiyasu 6 0 +Talia Shire 2 0 +Tallon Griekspoor 31 3 +Tamara 0 4 +Tamara Todevska 2 0 +Tamás Sulyok 0 3 +Tan 4 0 +Tanja 4 0 +Tanja Groen 3 0 +Tanja Jess 2 0 +Tanja Traag 3 0 +Targhalline 2 0 +Tata 7 4 +Tata Electronics 3 0 +Tate 7 0 +Tate van Gold Coast 2 0 +Tatjana 2 0 +Tatjana Simic 5 0 +Taylor 5 2 +Taylor Jenkins 0 2 +Taylor Swift 31 17 +Tchouaméni 6 0 +Te Kloese 9 2 +Techgraadmeter Nasdaq 3 0 +Ted 3 0 +Ted Danson 0 2 +Ted Goodman 2 0 +Ted Lasso 0 2 +Ted Turner 7 0 +Tedros 14 0 +Tedros Adhanom Ghebreyesus 27 0 +Tedros Ghebreyesus 3 0 +Tel 3 3 +Ten Damme 11 0 +Terri Hinte 2 0 +Tesoro 2 0 +Teun Koopmeiners 6 0 +Teunissen 0 7 +Teuntje Post 2 0 +Thaksin Shinawatra 2 0 +Theelen 2 0 +Theo 2 0 +Theo Brooks 4 0 +Theo Francken 3 0 +Theo Hiddema 0 2 +Theodore Walter Rollins 3 0 +Thiago Avila 3 0 +Thiago Ávila 3 0 +Thieme 0 2 +Thiemo de Bakker 2 0 +Thierno Barry 2 0 +Thierry 2 0 +Thierry Aartsen 3 3 +Thierry Baudet 2 0 +Thierry Frémaux 7 0 +Thierry Garnier 2 0 +Thierry Henry 2 0 +Thijs Boermans 2 0 +Thitiwoot Sethapanichsakul 2 0 +Thom 2 0 +Thom Yorke 2 0 +Thomas 11 3 +Thomas Acda 0 3 +Thomas Berge 4 0 +Thomas Bruning 4 0 +Thomas Cammaert 3 0 +Thomas Didillon-Hödl 2 0 +Thomas Duivenvoorden 2 0 +Thomas Massie 5 3 +Thomas Schmid 2 0 +Thomas Tuchel 4 0 +Thomas van Grinsven 4 0 +Thomas van Wanrooij 4 0 +Thomas van den Belt 3 0 +Thor Braun 0 2 +Thorn de Vries 2 0 +Thymen Arensman 45 0 +Tiangong 2 0 +Tielen 2 0 +Tierney 2 0 +Tijjani Noslin 7 0 +Tijjani Reijnders 8 7 +Tijn 2 0 +Tijs Verwest 6 0 +Tijs van den Brink 0 2 +Tilburg Tifosi 2 0 +Tim 2 0 +Tim Allen 2 0 +Tim Cook 8 0 +Tim Hofman 6 3 +Tim Linde 2 0 +Tim Lubbers 2 0 +Tim Matavz 2 0 +Tim Naberman 5 0 +Tim Rex 2 0 +Timber 20 7 +Timmermans 2 0 +Timmy 10 3 +Timo de Jong 4 0 +Timoer Minditsj 2 0 +Timon Wellenreuther 6 0 +Tina Nijkamp 3 0 +Tina Peters 2 0 +Tineke Schouten 6 0 +Tino Martin 2 0 +Tinubu 2 0 +Tirsa Creusen 2 0 +Tisha van Lammeren 2 0 +Titus Welliver 2 0 +Tiësto 6 0 +Tjaronn Chery 7 0 +Tjeerd Scheffer 3 0 +Tjitske Reidinga 2 0 +Tobias 3 0 +Tobias Lund Andresen 3 0 +Todd Blanche 2 3 +Todd Gloria 2 0 +Tolkien 2 0 +Tom 2 0 +Tom Berendsen 42 4 +Tom Burke 3 0 +Tom Cruise 3 0 +Tom Dumoulin 0 2 +Tom Hanks 3 0 +Tom Hardy 3 0 +Tom Holland 3 4 +Tom Steyer 0 2 +Tomas Allen 2 0 +Tomiyasu 4 0 +Tommy Pigott 2 0 +Tommy Robinson 4 0 +Tonda Eckert 0 2 +Tony 0 2 +Tony Berk 0 2 +Tony Blair 2 0 +Tony Carruthers 2 0 +Tony Williams 2 0 +Toon Aerts 2 0 +Toon Kelder 2 0 +Toon van Bodegom 3 0 +Topkapi Films 5 0 +Toto Wolff 6 0 +Tottenham Hotspur Leeftijd 2 0 +Tower Hamlets 2 0 +Traag 2 0 +Tracey Emin 0 2 +Transdev 0 2 +Travis Kelce 3 0 +Travis Scott 4 0 +Travolta 7 0 +Trekschuit 0 2 +Trent Alexander-Arnold 2 0 +Trevante Rhodes 2 0 +Triggerfinger 2 0 +Trijntje Oosterhuis 3 0 +Trimbos 3 0 +Trish Newport 2 0 +Tristan 2 0 +Tristan Kuijsten 5 0 +Tristan da Cunha 6 0 +Tristan van Gilst 2 0 +Trobi 3 0 +Tromp 3 0 +Troy Parrott 4 0 +Trump 331 95 +Trump Accounts 3 0 +Trump Mobile 2 0 +Trump Tower 4 0 +Tsuyoshi Watanabe 5 0 +Tuchel 4 0 +Tucson 2 0 +Tuindersvlet 0 3 +Tuinman 0 5 +Tulsi Gabbard 4 2 +Turki Al-Sheikh 5 0 +Turner 10 3 +Turner Classic Movies 2 0 +Tusk 4 0 +Tutu 2 0 +Tweakers 2 0 +Twigs 0 2 +Tyler 8 0 +Tyler Andrews 3 0 +Tynecastle Park 2 0 +Tyrese Noslin 3 0 +Tyrick Bodak 2 0 +Tyson Fury 9 0 +Türk 2 0 +U. 3 2 +Ueda 2 0 +Uitgeverij Pluim 0 6 +Ulf Kristersson 4 0 +Ultra - Talk To You 3 0 +Ulysse Ellian 6 0 +Unai Emery 9 0 +Undav 2 0 +Uno-X Mobility 2 0 +Urgenda 2 0 +Ursula von der Leyen 21 12 +Usain Bolt 2 0 +Usher 2 0 +Usyk 16 0 +V. 4 2 +Valdis Dombrovskis 5 0 +Valente 2 0 +Valentin Campagne 5 0 +Valentin Royer 3 0 +Valeri Polyakov 2 0 +Valgren 3 0 +Valk 2 0 +Vallejo 3 0 +Valli 2 0 +Valve 3 0 +Valérie Lemercier 2 0 +Van Asten 3 0 +Van Barneveld 2 0 +Van Basten 0 3 +Van Berge Henegouwen 3 0 +Van Breda 3 0 +Van Bruggen 3 3 +Van Buuren 2 2 +Van Dijk 9 7 +Van Dijke 0 2 +Van Dissel 4 18 +Van Driel 2 0 +Van Duijvenbode 3 0 +Van Eerd 3 0 +Van Eerd Retail 2 0 +Van Eijck 0 2 +Van Essen 6 0 +Van Gastel 0 2 +Van Gelder 0 2 +Van Gerwen 9 2 +Van Geuns 2 0 +Van Gogh 0 3 +Van Grinsven 4 0 +Van Hecke 0 2 +Van Hemert 0 2 +Van Kalmthout 3 0 +Van Kerkhove 3 0 +Van Kleef 2 0 +Van Kooten 3 0 +Van Lammeren 2 0 +Van Leeuwen 4 0 +Van Lemberk 2 0 +Van Loo 2 0 +Van Mulligen 3 0 +Van Nieuwkerk 7 0 +Van Nispen tot Sevenaer 4 0 +Van Nistelrooij 0 3 +Van Oosten 4 0 +Van Oostrom 7 0 +Van Persie 12 8 +Van Quickenborne 0 3 +Van R. 2 0 +Van Rijn 2 0 +Van Roosmalen & Groenteman 0 2 +Van Rossem 0 2 +Van Schaik 5 0 +Van Uden 3 0 +Van Veen 11 0 +Van Veldhoven 5 2 +Van Velzen 2 0 +Van Vliet 3 2 +Van Vollenhoven 2 0 +Van Wanrooij 3 0 +Van Weel 37 8 +Van Wolfswinkel 3 0 +Van Zadelhoff 2 0 +Van Zutphen 4 0 +Van de Ven 4 2 +Van de Zandschulp 14 0 +Van den Belt 2 0 +Van den Beukel 2 0 +Van den Boom 4 0 +Van den Brink 48 28 +Van den Brom 4 0 +Van den Bunder 2 0 +Van den Elshout 2 0 +Van den Heuvel 5 0 +Van den Hoogenband 0 2 +Van der Breggen 3 10 +Van der Burg 2 2 +Van der H. 3 0 +Van der Hoorn 4 0 +Van der Horst 7 0 +Van der Klei 2 0 +Van der Mede 2 0 +Van der Meij 2 0 +Van der Most 2 0 +Van der Plas 2 2 +Van der Sar 2 0 +Van der Vaart 2 2 +Van der Veen 2 0 +Van der Vight 0 2 +Van der Voort 2 0 +Vandaag Inside 3 0 +Vandenbroucke 2 0 +Vanilla Ice 2 0 +Vasilios Barkas 2 0 +Vasseur 0 2 +Veerle Buurman 3 2 +Veerman 9 0 +Veijer 4 0 +Veilig Thuis 5 3 +Veilingschuit 0 2 +Veldmate 2 0 +Vendrik 0 2 +Venus Williams 2 0 +Verbeke 0 2 +Verbrugge 2 0 +Verbruggen 0 3 +Verburg 3 0 +Vergelding 3 0 +Verheijen 8 0 +Verhoeven 21 0 +Verhulst 3 0 +Vermeer 0 4 +Vermeulen 3 0 +Verschuuren 2 0 +Verslaggeving 3 0 +Verstappen 50 28 +Verstappen.com Racing 3 0 +Verwest 5 0 +Vest Ekofisk 2 0 +Veurink 0 7 +Veysel Ü. 3 0 +Viagra Boys 2 0 +Viareggio 3 0 +Vickrum Digwa 0 2 +Victor Campenaerts 3 0 +Victor Osimhen 2 0 +Victor Wembanyama 6 2 +Victoria 8 6 +Victoria Beckham 2 0 +Victoria Koblenko 2 0 +Victoria Mboko 0 4 +Victoria Pelova 0 4 +Victoria's Secret 0 2 +Videla 0 3 +Vigna 2 0 +Vijanddenken 0 2 +Vijlbrief 19 6 +Viktor Gyökeres 3 2 +Viktor Orbán 21 7 +Villa 6 0 +Vin Diesel 3 0 +Vincent 2 0 +Vincent Bolloré 5 0 +Vincent Jalink 0 2 +Vincent Karremans 5 3 +Vincent Kompany 5 0 +Vincent Schildkamp 2 0 +Vincent Van Peteghem 2 0 +Vincent Van Quickenborne 0 2 +Vincenzo Nibali 2 0 +Vingegaard 36 0 +Vink 4 0 +Vinkenborg 2 0 +Vinícius 2 0 +Vinícius Júnior 5 0 +Virgil van Dijk 21 16 +Virginia Giuffre 4 0 +Visser 4 0 +Vitali Klitsjko 4 2 +Vitinha 3 0 +Vito Shukrula 5 0 +Vitosha 2 0 +Vivianne Miedema 8 0 +Vivir Mi Vida 4 0 +Vlad Turcanu 2 0 +Vladimir Poetin 37 19 +Vladimir Sklarov 2 0 +Vlam 3 0 +Vlemmix 0 3 +Vlieg 2 0 +Volker Türk 2 0 +Vollering 2 13 +Volodymyr Zelensky 34 14 +Von der Leyen 15 6 +Vos 3 0 +Vrede 10 3 +Vreugdenhil 0 2 +Vucic 2 0 +Vuelta Femenina 2 0 +Vuijk 3 0 +Vuik 0 2 +W. 0 6 +Wadephul 0 2 +Wadi Damm 0 3 +Wadi Draa 0 3 +Wadi Mansour 0 2 +Wadi Musa 0 2 +Wadi Rum 0 3 +Wadi Shab 0 2 +Wael Sawan 3 0 +Wagner 3 0 +Wahib 2 0 +Wakker 5 0 +Walmart 2 0 +Walt Disney 3 0 +Walther 4 0 +Wang 2 0 +Wang Yi 3 0 +Warren 2 0 +Warren Barguil 3 0 +Warsh 5 0 +Warsh Trump 2 0 +Washi L. 2 0 +Washington 11 5 +Wassiliwizky 2 0 +Wassily Kandinsky 2 0 +Watanabe 3 0 +Watkins 2 0 +Wawrinka 5 0 +Waylon 2 0 +Wayne Shorter 2 0 +Weaver 2 0 +Weghorst 8 0 +Wegner 2 0 +Weinstein 3 0 +Well's Bay 2 0 +Wellenreuther 2 0 +Wells Bay 2 0 +Welshe 2 0 +Wembanyama 2 0 +Wendelmoet Boersema 2 0 +Wenders 0 3 +Wendy van Dijk 3 0 +Wennemars 5 2 +Wennink 0 2 +Wes Streeting 10 0 +Weski 8 4 +Wesley 0 2 +Wesley Sneijder 3 4 +Wessel Nijman 3 0 +West 2 5 +Westerveld 2 0 +Westerweel 11 0 +White 2 0 +Whitney Houston 2 0 +Wiebes 11 3 +Wieffer 0 4 +Wiegman 2 2 +Wieke Kaptein 2 0 +Wijnands 5 0 +Wijngaard 2 0 +Wijnhoven 3 0 +Wilco Kelderman 8 0 +Wilders 12 2 +Wilhelmina 8 0 +Willard Molenaar 3 0 +Willem 2 3 +Willem II-keeper Thomas Didillon-Hödl 3 0 +Willem II-trainer John Stegeman 2 0 +Willem III 5 0 +Willem Jebbink 2 0 +Willem Oosterbeek 3 0 +Willem van Oranje 2 0 +Willem-Alexander 68 10 +Willemijn Aerdts 6 2 +William 29 7 +William Spaaij 4 0 +Williams 3 5 +Willie Wartaal 7 0 +Willumsson 2 0 +Wilms 0 3 +Wilson 3 0 +Wim 4 2 +Wim Beelen 2 0 +Wim Daniëls 0 4 +Wim Dijkman 5 2 +Wim Jansen 2 0 +Wim Oosenbrug 2 0 +Wim Wenders 0 5 +Windsor Castle 7 5 +Wing Zhang 4 0 +Wingtech 5 0 +Winnie Sorgdrager 0 2 +Winslet 2 0 +Winston Churchill 2 0 +Witkoff 2 0 +Witteman 0 2 +Wolf 2 0 +Wolfe 2 0 +Wolff 4 0 +Wolfswinkel 3 0 +Wolter Kroes 2 0 +Wood 2 0 +Woods 2 0 +Woody 2 0 +Wopke Hoekstra 0 2 +Wortelboer 3 0 +Worthy de Jong 0 6 +Wout Poels 7 0 +Wout Weghorst 21 5 +Wouter Koolmees 2 4 +Wouter Laumans 3 0 +Wouter Remmen 0 2 +Wouter Scheepstra 2 0 +Wu 3 0 +Wu Yize 3 0 +Wynia 3 0 +Wâldnet 0 2 +Wöginger 2 0 +Xabi Alonso 8 0 +Xabi Mancisidor 2 0 +Xander Sijmons.Het 2 0 +Xander van der Wulp 7 0 +Xandro Rio 2 0 +Xavi Simons 19 3 +Xavier 4 0 +Xavier Becerra 0 3 +Xavier Chardon 2 0 +Xbox Series X/S 3 0 +Xi 38 9 +Xi Jinping 52 8 +Xi Trump 3 0 +Xiaomi 2 0 +Yandex 2 0 +Yango 3 0 +Yann Demange 2 0 +Yannick Leliendal 2 0 +Yara Brand 2 0 +Yara Kastelijn 3 0 +Yasmine Van der Borght 2 0 +Yates 2 0 +Ye 27 64 +Yelle Tieleman 2 0 +Yesilgöz 8 0 +Yesim 0 3 +Yesim Candan 0 4 +Yeşilgöz 4 3 +Yonhap 3 0 +Yoon 3 0 +Yoon Suk-yeol 3 0 +Yorgos Lanthimos 2 0 +Yorick van Wageningen 0 3 +You Can Count on Me 2 0 +Younes Taha 2 0 +Young 2 0 +Youri Mulder 2 0 +Youri Regeer 4 0 +Youri Tielemans 4 2 +Yousaf 2 0 +Yousef Gnaoui 0 2 +Youssef T. 2 0 +You’re Under Arrest 2 0 +Yukinari Sugawara 2 0 +Yuval Raphael 6 0 +Yves Saint Laurent 2 0 +Yvon Jaspers 0 2 +Yvonne Coldeweijer 2 0 +Yvonne van Duijnhoven 2 0 +Z. 0 4 +Zakaria Labyad 4 0 +Zandloopster 0 2 +Zapatero 5 0 +Zaporizja 4 0 +Zara 0 2 +Zayn Malik 2 0 +Zdislava van Lemberk 2 0 +Zeeman 5 0 +Zelensky 54 24 +Zendaya 4 3 +Zerrouki 3 0 +Zhang Zhiyuan 2 0 +Zhao Xintong 3 0 +Zheng 3 0 +Zheng Qinwen 0 2 +Zhu Yangzhu 2 0 +Zian Flemming 6 0 +Ziauddin Mridha 2 0 +Ziggo Sport Select 4 0 +Zillow 0 2 +Zinédine Zidane 2 0 +Zizou Bergs 2 0 +Zlatko Dalic 2 0 +Zoet 0 2 +Zohran Mamdani 2 0 +Zomer 5 0 +Zondag 8 0 +Zonta van den Goorbergh 6 3 +Zoran Ristoski 2 0 +Zoë Livay 2 0 +Zoë Slagter 0 8 +Zr.Ms 4 0 +Zverev 10 13 +Zwart 3 0 +Zweekhorst 2 0 +al-Diriyah 2 0 +al-Saadi 4 0 +big tech 0 5 +bond 5 0 +child torture 2 0 +creative director 0 2 +crystal meth 2 0 +d'Artagnan 5 0 +de Wet 10 3 +de dag 25 6 +dynamic pricing 2 0 +iDIN 0 4 +koning 7 0 +lezerscommunity Hebban 2 0 +muziekduo SBMG 2 0 +punkduo Lambrini Girls 2 0 +rozetruidrager Afonso Eulálio 3 0 +rugbyster Sadia Kabeya 3 0 +sir David Attenborough 2 0 +van Nispen tot Sevenaer 5 0 +van Oranje 3 0 +van Steijn 2 0 +van Utrecht 2 0 +van den Elshout 3 0 +xAI 2 0 +Álex Márquez 2 0 +Álvaro Arbeloa 11 0 +Ángel Alarcón 2 0 +Ávila 3 0 +Édouard Philippe 2 0 +Óscar García 19 2 +Özel 6 0 +Özgür Özel 6 0 diff --git a/python/namen.ipynb b/python/namen.ipynb new file mode 100644 index 0000000..7dd9d9b --- /dev/null +++ b/python/namen.ipynb @@ -0,0 +1,1563 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "eec04efd-3f8f-4032-8038-83d61bff1792", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from scipy.stats import chi2_contingency\n", + "from statsmodels.stats.multitest import multipletests\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e3fcbc08-25aa-47fd-bee3-b468982bf04b", + "metadata": {}, + "outputs": [], + "source": [ + "def corpus_stats(word, counts_recent, counts_reference, total_recent, total_reference):\n", + " \"\"\"\n", + " word : the word being tested\n", + " counts_recent : raw count in week 5\n", + " counts_reference : raw count in weeks 1-4\n", + " total_recent : total tokens in week 5\n", + " total_reference : total tokens in weeks 1-4\n", + " \"\"\"\n", + " a = counts_recent # word in recent\n", + " b = counts_reference # word in reference\n", + " c = total_recent - a # non-word in recent\n", + " d = total_reference - b # non-word in reference\n", + "\n", + " contingency = np.array([[a, b],\n", + " [c, d]])\n", + "\n", + " # --- Chi-Squared ---\n", + " chi2_stat, p_chi2, _, _ = chi2_contingency(contingency, correction=False)\n", + "\n", + " # --- Log-Likelihood (G²) ---\n", + " # G² = 2 * sum(observed * log(observed / expected))\n", + " # scipy's chi2_contingency with lambda_=\"log-likelihood\" computes this\n", + " g2_stat, p_g2, _, _ = chi2_contingency(contingency, lambda_=\"log-likelihood\")\n", + "\n", + " # --- Effect sizes ---\n", + " freq_recent = a / total_recent\n", + " freq_reference = b / total_reference\n", + "\n", + " pct_diff = (freq_recent - freq_reference) / freq_reference * 100\n", + "\n", + " # Avoid log(0) with a small epsilon\n", + " eps = 1e-9\n", + " log_ratio = np.log2((freq_recent + eps) / (freq_reference + eps))\n", + "\n", + " return {\n", + " \"word\": word,\n", + " \"freq_recent\": freq_recent,\n", + " \"freq_reference\": freq_reference,\n", + " \"pct_diff\": pct_diff,\n", + " \"log_ratio\": log_ratio,\n", + " \"chi2\": chi2_stat,\n", + " \"p_chi2\": p_chi2,\n", + " \"g2\": g2_stat,\n", + " \"p_g2\": p_g2,\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2888f740-1539-4f62-a13e-73512a2be290", + "metadata": {}, + "outputs": [], + "source": [ + "counts_recent = {}\n", + "counts_reference = {}\n", + "with open(\"data.txt\", \"rt\", encoding=\"utf-8\") as fp:\n", + " for line in fp:\n", + " aa = line.split(\"\\t\")\n", + " counts_reference[aa[0]] = max(int(aa[1]), 0.5)\n", + " counts_recent[aa[0]] = max(int(aa[2]), 0.5)\n", + "total_recent = sum(counts_recent.values())\n", + "total_reference = sum(counts_reference.values())" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5ef99c2b-50d9-450b-854c-bfa9d688c63b", + "metadata": {}, + "outputs": [], + "source": [ + "results = [\n", + " corpus_stats(word, counts_recent[word], counts_reference.get(word, 0),\n", + " total_recent, total_reference)\n", + " for word in counts_recent]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "285064c8-bc52-4096-9aa5-bc57115fb813", + "metadata": {}, + "outputs": [], + "source": [ + "# FDR correction across all words\n", + "p_values = [r[\"p_g2\"] for r in results]\n", + "_, p_adjusted, _, _ = multipletests(p_values, method=\"fdr_bh\")\n", + "\n", + "for r, p_adj in zip(results, p_adjusted):\n", + " r[\"p_g2_adjusted\"] = p_adj" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c0146062-608a-40dd-80b7-742df67ca9ee", + "metadata": {}, + "outputs": [], + "source": [ + "results = pd.DataFrame(results)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8805479d-461f-4e56-8b85-b5aa65fc7f33", + "metadata": {}, + "outputs": [], + "source": [ + "#pd.set_option('display.max_rows', None)\n", + "#pd.set_option('display.max_columns', None)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f992bc03-6529-4521-9c98-3f7fe36eb7e8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
4666Ye0.0091910.001412551.0306392.70272588.8730134.209875e-2173.6110949.512852e-182.265010e-14
2233Kanye West0.0061750.001150436.8228492.42444551.8609975.957208e-1342.5127957.022134e-111.114647e-07
2521Lieke Marsman0.0022980.0000268688.9136216.45755841.6750921.077733e-1034.0460505.382305e-096.407634e-06
55Ahmed Marcouch0.0030160.0002611053.5449133.52799738.8974014.466750e-1030.7741982.898665e-082.760689e-05
1343Flavio Cobolli0.0020100.0000267590.2994186.26491336.1864561.793125e-0929.0239267.148986e-085.673912e-05
4362Van Dissel0.0025850.0002091135.9409783.62753234.1971574.980167e-0926.7579032.306067e-071.546231e-04
2797Marsman0.0018670.0000267040.9923176.15799833.4436417.335924e-0926.5278832.597616e-071.546231e-04
2503Lewis Hamilton0.0040210.000784412.6866282.35807632.5002001.191803e-0826.1044233.234422e-071.711368e-04
673Charles Leclerc0.0028720.000418586.6338772.77953828.6706388.579474e-0822.4429922.164739e-069.371352e-04
1858Jaap van Dissel0.0028720.000418586.6338772.77953828.6706388.579474e-0822.4429922.164739e-069.371352e-04
4516Vollering0.0018670.0001051685.2480794.15804027.5905891.499064e-0721.0705614.426770e-061.716105e-03
2923Mette-Marit0.0045950.001307251.5565451.81375625.3186814.859791e-0720.7135105.333836e-061.716105e-03
1801Ingrid Alexandra0.0020100.0001571181.7165703.67999726.9350702.104062e-0720.5643495.765997e-061.716105e-03
3466Pols0.0020100.0001571181.7165703.67999726.9350702.104062e-0720.5643495.765997e-061.716105e-03
2717Marcouch0.0024410.000314678.1850602.96010926.2342663.024086e-0720.2564686.772409e-061.897071e-03
1053Donald Pols0.0021540.000261723.9606523.04257123.8719441.029615e-0618.2092271.979176e-055.236021e-03
3971Sjoerdsma0.0018670.000209792.6240403.15804721.5428623.460080e-0616.1783005.765077e-051.372665e-02
2734Marianne Thieme0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
2583Lotte van Kruistum0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
3003Mirra Andreeva0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
2351Kluytmans0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
249Antonia Niedermaier0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
1791Ilse Kuijt0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
742Cobolli0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
4724Zoë Slagter0.0011490.0000264294.4568115.45755919.7557668.799584e-0614.2812401.574261e-042.404300e-02
278Arjan Veurink0.0015800.000157907.0630193.33207419.2680291.135926e-0514.1744841.666147e-042.404300e-02
3098Naomi Mestrum0.0012920.0001051135.9409783.62752517.0913663.562389e-0512.2215434.724085e-046.103910e-02
2665Maja Chwalinska0.0015800.000209655.2972642.91703916.6866824.408944e-0512.2142284.742643e-046.103910e-02
4420Van der Breggen0.0014360.000157815.5118363.19457016.7722354.214548e-0512.1315684.957543e-046.212584e-02
1731Hitler0.0010050.0000263745.1497095.26491417.0277303.683788e-0511.9056415.596421e-046.345276e-02
2519Lieke0.0010050.0000263745.1497095.26491417.0277303.683788e-0511.9056415.596421e-046.345276e-02
4176Teunissen0.0010050.0000263745.1497095.26491417.0277303.683788e-0511.9056415.596421e-046.345276e-02
4464Veurink0.0010050.0000263745.1497095.26491417.0277303.683788e-0511.9056415.596421e-046.345276e-02
968Denzel Dumfries0.0020100.000418380.6437142.26496515.3594548.887510e-0511.6000926.594857e-047.303421e-02
2329Kimi Antonelli0.0034470.001203186.5950091.51901314.2940651.563571e-0411.5398966.811844e-047.372272e-02
2465Leclerc0.0012920.000157723.9606523.04256714.3187721.543183e-0410.1457811.446319e-031.306897e-01
1250Esther Ouwehand0.0012920.000157723.9606523.04256714.3187721.543183e-0410.1457811.446319e-031.306897e-01
713Christine Teunissen0.0011490.000105998.6142033.45760014.5290341.380160e-0410.1228011.464463e-031.306897e-01
1917Jan Kluytmans0.0011490.000105998.6142033.45760014.5290341.380160e-0410.1228011.464463e-031.306897e-01
2124Joost Luiten0.0011490.000105998.6142033.45760014.5290341.380160e-0410.1228011.464463e-031.306897e-01
\n", + "
" + ], + "text/plain": [ + " word freq_recent freq_reference pct_diff \\\n", + "4666 Ye 0.009191 0.001412 551.030639 \n", + "2233 Kanye West 0.006175 0.001150 436.822849 \n", + "2521 Lieke Marsman 0.002298 0.000026 8688.913621 \n", + "55 Ahmed Marcouch 0.003016 0.000261 1053.544913 \n", + "1343 Flavio Cobolli 0.002010 0.000026 7590.299418 \n", + "4362 Van Dissel 0.002585 0.000209 1135.940978 \n", + "2797 Marsman 0.001867 0.000026 7040.992317 \n", + "2503 Lewis Hamilton 0.004021 0.000784 412.686628 \n", + "673 Charles Leclerc 0.002872 0.000418 586.633877 \n", + "1858 Jaap van Dissel 0.002872 0.000418 586.633877 \n", + "4516 Vollering 0.001867 0.000105 1685.248079 \n", + "2923 Mette-Marit 0.004595 0.001307 251.556545 \n", + "1801 Ingrid Alexandra 0.002010 0.000157 1181.716570 \n", + "3466 Pols 0.002010 0.000157 1181.716570 \n", + "2717 Marcouch 0.002441 0.000314 678.185060 \n", + "1053 Donald Pols 0.002154 0.000261 723.960652 \n", + "3971 Sjoerdsma 0.001867 0.000209 792.624040 \n", + "2734 Marianne Thieme 0.001149 0.000026 4294.456811 \n", + "2583 Lotte van Kruistum 0.001149 0.000026 4294.456811 \n", + "3003 Mirra Andreeva 0.001149 0.000026 4294.456811 \n", + "2351 Kluytmans 0.001149 0.000026 4294.456811 \n", + "249 Antonia Niedermaier 0.001149 0.000026 4294.456811 \n", + "1791 Ilse Kuijt 0.001149 0.000026 4294.456811 \n", + "742 Cobolli 0.001149 0.000026 4294.456811 \n", + "4724 Zoë Slagter 0.001149 0.000026 4294.456811 \n", + "278 Arjan Veurink 0.001580 0.000157 907.063019 \n", + "3098 Naomi Mestrum 0.001292 0.000105 1135.940978 \n", + "2665 Maja Chwalinska 0.001580 0.000209 655.297264 \n", + "4420 Van der Breggen 0.001436 0.000157 815.511836 \n", + "1731 Hitler 0.001005 0.000026 3745.149709 \n", + "2519 Lieke 0.001005 0.000026 3745.149709 \n", + "4176 Teunissen 0.001005 0.000026 3745.149709 \n", + "4464 Veurink 0.001005 0.000026 3745.149709 \n", + "968 Denzel Dumfries 0.002010 0.000418 380.643714 \n", + "2329 Kimi Antonelli 0.003447 0.001203 186.595009 \n", + "2465 Leclerc 0.001292 0.000157 723.960652 \n", + "1250 Esther Ouwehand 0.001292 0.000157 723.960652 \n", + "713 Christine Teunissen 0.001149 0.000105 998.614203 \n", + "1917 Jan Kluytmans 0.001149 0.000105 998.614203 \n", + "2124 Joost Luiten 0.001149 0.000105 998.614203 \n", + "\n", + " log_ratio chi2 p_chi2 g2 p_g2 \\\n", + "4666 2.702725 88.873013 4.209875e-21 73.611094 9.512852e-18 \n", + "2233 2.424445 51.860997 5.957208e-13 42.512795 7.022134e-11 \n", + "2521 6.457558 41.675092 1.077733e-10 34.046050 5.382305e-09 \n", + "55 3.527997 38.897401 4.466750e-10 30.774198 2.898665e-08 \n", + "1343 6.264913 36.186456 1.793125e-09 29.023926 7.148986e-08 \n", + "4362 3.627532 34.197157 4.980167e-09 26.757903 2.306067e-07 \n", + "2797 6.157998 33.443641 7.335924e-09 26.527883 2.597616e-07 \n", + "2503 2.358076 32.500200 1.191803e-08 26.104423 3.234422e-07 \n", + "673 2.779538 28.670638 8.579474e-08 22.442992 2.164739e-06 \n", + "1858 2.779538 28.670638 8.579474e-08 22.442992 2.164739e-06 \n", + "4516 4.158040 27.590589 1.499064e-07 21.070561 4.426770e-06 \n", + "2923 1.813756 25.318681 4.859791e-07 20.713510 5.333836e-06 \n", + "1801 3.679997 26.935070 2.104062e-07 20.564349 5.765997e-06 \n", + "3466 3.679997 26.935070 2.104062e-07 20.564349 5.765997e-06 \n", + "2717 2.960109 26.234266 3.024086e-07 20.256468 6.772409e-06 \n", + "1053 3.042571 23.871944 1.029615e-06 18.209227 1.979176e-05 \n", + "3971 3.158047 21.542862 3.460080e-06 16.178300 5.765077e-05 \n", + "2734 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "2583 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "3003 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "2351 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "249 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "1791 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "742 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "4724 5.457559 19.755766 8.799584e-06 14.281240 1.574261e-04 \n", + "278 3.332074 19.268029 1.135926e-05 14.174484 1.666147e-04 \n", + "3098 3.627525 17.091366 3.562389e-05 12.221543 4.724085e-04 \n", + "2665 2.917039 16.686682 4.408944e-05 12.214228 4.742643e-04 \n", + "4420 3.194570 16.772235 4.214548e-05 12.131568 4.957543e-04 \n", + "1731 5.264914 17.027730 3.683788e-05 11.905641 5.596421e-04 \n", + "2519 5.264914 17.027730 3.683788e-05 11.905641 5.596421e-04 \n", + "4176 5.264914 17.027730 3.683788e-05 11.905641 5.596421e-04 \n", + "4464 5.264914 17.027730 3.683788e-05 11.905641 5.596421e-04 \n", + "968 2.264965 15.359454 8.887510e-05 11.600092 6.594857e-04 \n", + "2329 1.519013 14.294065 1.563571e-04 11.539896 6.811844e-04 \n", + "2465 3.042567 14.318772 1.543183e-04 10.145781 1.446319e-03 \n", + "1250 3.042567 14.318772 1.543183e-04 10.145781 1.446319e-03 \n", + "713 3.457600 14.529034 1.380160e-04 10.122801 1.464463e-03 \n", + "1917 3.457600 14.529034 1.380160e-04 10.122801 1.464463e-03 \n", + "2124 3.457600 14.529034 1.380160e-04 10.122801 1.464463e-03 \n", + "\n", + " p_g2_adjusted \n", + "4666 2.265010e-14 \n", + "2233 1.114647e-07 \n", + "2521 6.407634e-06 \n", + "55 2.760689e-05 \n", + "1343 5.673912e-05 \n", + "4362 1.546231e-04 \n", + "2797 1.546231e-04 \n", + "2503 1.711368e-04 \n", + "673 9.371352e-04 \n", + "1858 9.371352e-04 \n", + "4516 1.716105e-03 \n", + "2923 1.716105e-03 \n", + "1801 1.716105e-03 \n", + "3466 1.716105e-03 \n", + "2717 1.897071e-03 \n", + "1053 5.236021e-03 \n", + "3971 1.372665e-02 \n", + "2734 2.404300e-02 \n", + "2583 2.404300e-02 \n", + "3003 2.404300e-02 \n", + "2351 2.404300e-02 \n", + "249 2.404300e-02 \n", + "1791 2.404300e-02 \n", + "742 2.404300e-02 \n", + "4724 2.404300e-02 \n", + "278 2.404300e-02 \n", + "3098 6.103910e-02 \n", + "2665 6.103910e-02 \n", + "4420 6.212584e-02 \n", + "1731 6.345276e-02 \n", + "2519 6.345276e-02 \n", + "4176 6.345276e-02 \n", + "4464 6.345276e-02 \n", + "968 7.303421e-02 \n", + "2329 7.372272e-02 \n", + "2465 1.306897e-01 \n", + "1250 1.306897e-01 \n", + "713 1.306897e-01 \n", + "1917 1.306897e-01 \n", + "2124 1.306897e-01 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# stijgers\n", + "results[results.pct_diff > 0].sort_values('g2', ascending=False)[:40]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "bccce269-9540-445e-a5f9-775d55b469b9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
1743Hondius0.0004310.010457-95.880197-4.60127866.4705173.551664e-1698.2757923.639886e-231.733314e-19
4215Thymen Arensman0.0000720.002353-96.948294-5.03422115.2569199.383239e-0520.6864645.409706e-061.716105e-03
1508Gidi Markuszower0.0000720.002091-96.566831-4.86429613.4341572.470840e-0417.8116402.438866e-056.112569e-03
4495Vingegaard0.0000720.001882-96.185367-4.71229311.9771365.385731e-0415.5345578.101072e-051.837014e-02
2782Markuszower0.0000720.001830-96.076378-4.67165111.6130726.548989e-0414.9690181.092909e-042.365652e-02
2109Jonas Vingegaard0.0004310.002667-83.843909-2.62984712.3539054.400650e-0414.7071791.255674e-042.404300e-02
3750Rubio0.0002870.002301-87.515748-3.00181411.7571256.061077e-0414.2123001.632996e-042.404300e-02
115Ali B0.0000720.001725-95.838583-4.58676210.8852069.693541e-0413.8430231.987332e-042.783434e-02
512Botic van de Zandschulp0.0000720.001621-95.570104-4.49656410.1577241.436979e-0312.7245023.608960e-044.910248e-02
921De Jong0.0005740.002562-77.579302-2.1570959.9473171.610840e-0311.2208378.088400e-048.559325e-02
4034Starmer0.0005740.002510-77.112204-2.1273489.6118421.933266e-0310.7780881.027087e-031.060152e-01
1054Donald Trump0.0101960.015529-34.342080-0.60695910.4400521.233118e-0310.7437001.046349e-031.060152e-01
4169Tedros Adhanom Ghebreyesus0.0000720.001412-94.913823-4.2972558.7041543.174857e-0310.5140211.184722e-031.175343e-01
269Arensman0.0000720.001359-94.718201-4.2428088.3411103.875791e-039.9678781.592950e-031.306897e-01
3185Noam Bettan0.0000720.001307-94.506929-4.1862247.9782314.734318e-039.4247252.140792e-031.396500e-01
3082Máxima0.0020100.004497-55.288957-1.1612968.2633544.045333e-038.6399083.288780e-032.088156e-01
1099Dylan Groenewegen0.0000720.001203-94.029271-4.0659307.2530407.078107e-038.3483883.860297e-032.418781e-01
4258Tom Berendsen0.0005740.002196-73.842519-1.9347037.6266705.751139e-038.2043694.178964e-032.456818e-01
4598Willem-Alexander0.0014360.003555-59.609772-1.3079217.6926035.544761e-038.0442264.564892e-032.587859e-01
3222Oceanwide Expeditions0.0000720.001150-93.757874-4.0018006.8907718.664187e-037.8157865.179183e-032.603795e-01
1411Freek0.0000720.001150-93.757874-4.0018006.8907718.664187e-037.8157865.179183e-032.603795e-01
2226Kaja Kallas0.0000720.001098-93.460630-3.9346866.5287551.061442e-027.2873506.944183e-032.603795e-01
4454Verhoeven0.0000720.001098-93.460630-3.9346866.5287551.061442e-027.2873506.944183e-032.603795e-01
1401Fred Rutten0.0000720.001098-93.460630-3.9346866.5287551.061442e-027.2873506.944183e-032.603795e-01
1981Jerdy Schouten0.0000720.001046-93.133661-3.8642966.1670241.301534e-026.7634859.304187e-033.370342e-01
2977Mikel Arteta0.0000720.001046-93.133661-3.8642966.1670241.301534e-026.7634859.304187e-033.370342e-01
3013Modi0.0000720.001046-93.133661-3.8642966.1670241.301534e-026.7634859.304187e-033.370342e-01
3237Oleksandr Usyk0.0000720.001046-93.133661-3.8642966.1670241.301534e-026.7634859.304187e-033.370342e-01
417Berendsen0.0007180.002248-68.063541-1.6467226.5093751.073072e-026.7561719.342400e-033.370342e-01
2016Jetten0.0024410.004601-46.941928-0.9143565.9410621.479210e-025.9690031.455951e-024.952314e-01
1310Felix Gall0.0000720.000941-92.370735-3.7122935.4445871.962906e-025.7314101.666410e-025.501480e-01
1167Ellen ten Damme0.0000720.000941-92.370735-3.7122935.4445871.962906e-025.7314101.666410e-025.501480e-01
4101Suzan & Freek0.0000720.000941-92.370735-3.7122935.4445871.962906e-025.7314101.666410e-025.501480e-01
4141Tallon Griekspoor0.0004310.001621-73.420624-1.9116185.5547151.843098e-025.6500351.745502e-025.501480e-01
4655Xi Jinping0.0011490.002719-57.745608-1.2428265.4841341.918982e-025.4885241.914170e-025.501480e-01
133Amalia0.0004310.001569-72.534645-1.8643135.2309922.218788e-025.2491972.195690e-025.501480e-01
3767Rutten0.0000720.000889-91.921954-3.6298315.0839882.414777e-025.2243772.227242e-025.501480e-01
2970Mika Godts0.0000720.000889-91.921954-3.6298315.0839882.414777e-025.2243772.227242e-025.501480e-01
537Brekelmans0.0000720.000889-91.921954-3.6298315.0839882.414777e-025.2243772.227242e-025.501480e-01
2712Marco Rubio0.0008620.002248-61.676249-1.3836885.2361002.212281e-025.2139442.240645e-025.501480e-01
\n", + "
" + ], + "text/plain": [ + " word freq_recent freq_reference pct_diff \\\n", + "1743 Hondius 0.000431 0.010457 -95.880197 \n", + "4215 Thymen Arensman 0.000072 0.002353 -96.948294 \n", + "1508 Gidi Markuszower 0.000072 0.002091 -96.566831 \n", + "4495 Vingegaard 0.000072 0.001882 -96.185367 \n", + "2782 Markuszower 0.000072 0.001830 -96.076378 \n", + "2109 Jonas Vingegaard 0.000431 0.002667 -83.843909 \n", + "3750 Rubio 0.000287 0.002301 -87.515748 \n", + "115 Ali B 0.000072 0.001725 -95.838583 \n", + "512 Botic van de Zandschulp 0.000072 0.001621 -95.570104 \n", + "921 De Jong 0.000574 0.002562 -77.579302 \n", + "4034 Starmer 0.000574 0.002510 -77.112204 \n", + "1054 Donald Trump 0.010196 0.015529 -34.342080 \n", + "4169 Tedros Adhanom Ghebreyesus 0.000072 0.001412 -94.913823 \n", + "269 Arensman 0.000072 0.001359 -94.718201 \n", + "3185 Noam Bettan 0.000072 0.001307 -94.506929 \n", + "3082 Máxima 0.002010 0.004497 -55.288957 \n", + "1099 Dylan Groenewegen 0.000072 0.001203 -94.029271 \n", + "4258 Tom Berendsen 0.000574 0.002196 -73.842519 \n", + "4598 Willem-Alexander 0.001436 0.003555 -59.609772 \n", + "3222 Oceanwide Expeditions 0.000072 0.001150 -93.757874 \n", + "1411 Freek 0.000072 0.001150 -93.757874 \n", + "2226 Kaja Kallas 0.000072 0.001098 -93.460630 \n", + "4454 Verhoeven 0.000072 0.001098 -93.460630 \n", + "1401 Fred Rutten 0.000072 0.001098 -93.460630 \n", + "1981 Jerdy Schouten 0.000072 0.001046 -93.133661 \n", + "2977 Mikel Arteta 0.000072 0.001046 -93.133661 \n", + "3013 Modi 0.000072 0.001046 -93.133661 \n", + "3237 Oleksandr Usyk 0.000072 0.001046 -93.133661 \n", + "417 Berendsen 0.000718 0.002248 -68.063541 \n", + "2016 Jetten 0.002441 0.004601 -46.941928 \n", + "1310 Felix Gall 0.000072 0.000941 -92.370735 \n", + "1167 Ellen ten Damme 0.000072 0.000941 -92.370735 \n", + "4101 Suzan & Freek 0.000072 0.000941 -92.370735 \n", + "4141 Tallon Griekspoor 0.000431 0.001621 -73.420624 \n", + "4655 Xi Jinping 0.001149 0.002719 -57.745608 \n", + "133 Amalia 0.000431 0.001569 -72.534645 \n", + "3767 Rutten 0.000072 0.000889 -91.921954 \n", + "2970 Mika Godts 0.000072 0.000889 -91.921954 \n", + "537 Brekelmans 0.000072 0.000889 -91.921954 \n", + "2712 Marco Rubio 0.000862 0.002248 -61.676249 \n", + "\n", + " log_ratio chi2 p_chi2 g2 p_g2 \\\n", + "1743 -4.601278 66.470517 3.551664e-16 98.275792 3.639886e-23 \n", + "4215 -5.034221 15.256919 9.383239e-05 20.686464 5.409706e-06 \n", + "1508 -4.864296 13.434157 2.470840e-04 17.811640 2.438866e-05 \n", + "4495 -4.712293 11.977136 5.385731e-04 15.534557 8.101072e-05 \n", + "2782 -4.671651 11.613072 6.548989e-04 14.969018 1.092909e-04 \n", + "2109 -2.629847 12.353905 4.400650e-04 14.707179 1.255674e-04 \n", + "3750 -3.001814 11.757125 6.061077e-04 14.212300 1.632996e-04 \n", + "115 -4.586762 10.885206 9.693541e-04 13.843023 1.987332e-04 \n", + "512 -4.496564 10.157724 1.436979e-03 12.724502 3.608960e-04 \n", + "921 -2.157095 9.947317 1.610840e-03 11.220837 8.088400e-04 \n", + "4034 -2.127348 9.611842 1.933266e-03 10.778088 1.027087e-03 \n", + "1054 -0.606959 10.440052 1.233118e-03 10.743700 1.046349e-03 \n", + "4169 -4.297255 8.704154 3.174857e-03 10.514021 1.184722e-03 \n", + "269 -4.242808 8.341110 3.875791e-03 9.967878 1.592950e-03 \n", + "3185 -4.186224 7.978231 4.734318e-03 9.424725 2.140792e-03 \n", + "3082 -1.161296 8.263354 4.045333e-03 8.639908 3.288780e-03 \n", + "1099 -4.065930 7.253040 7.078107e-03 8.348388 3.860297e-03 \n", + "4258 -1.934703 7.626670 5.751139e-03 8.204369 4.178964e-03 \n", + "4598 -1.307921 7.692603 5.544761e-03 8.044226 4.564892e-03 \n", + "3222 -4.001800 6.890771 8.664187e-03 7.815786 5.179183e-03 \n", + "1411 -4.001800 6.890771 8.664187e-03 7.815786 5.179183e-03 \n", + "2226 -3.934686 6.528755 1.061442e-02 7.287350 6.944183e-03 \n", + "4454 -3.934686 6.528755 1.061442e-02 7.287350 6.944183e-03 \n", + "1401 -3.934686 6.528755 1.061442e-02 7.287350 6.944183e-03 \n", + "1981 -3.864296 6.167024 1.301534e-02 6.763485 9.304187e-03 \n", + "2977 -3.864296 6.167024 1.301534e-02 6.763485 9.304187e-03 \n", + "3013 -3.864296 6.167024 1.301534e-02 6.763485 9.304187e-03 \n", + "3237 -3.864296 6.167024 1.301534e-02 6.763485 9.304187e-03 \n", + "417 -1.646722 6.509375 1.073072e-02 6.756171 9.342400e-03 \n", + "2016 -0.914356 5.941062 1.479210e-02 5.969003 1.455951e-02 \n", + "1310 -3.712293 5.444587 1.962906e-02 5.731410 1.666410e-02 \n", + "1167 -3.712293 5.444587 1.962906e-02 5.731410 1.666410e-02 \n", + "4101 -3.712293 5.444587 1.962906e-02 5.731410 1.666410e-02 \n", + "4141 -1.911618 5.554715 1.843098e-02 5.650035 1.745502e-02 \n", + "4655 -1.242826 5.484134 1.918982e-02 5.488524 1.914170e-02 \n", + "133 -1.864313 5.230992 2.218788e-02 5.249197 2.195690e-02 \n", + "3767 -3.629831 5.083988 2.414777e-02 5.224377 2.227242e-02 \n", + "2970 -3.629831 5.083988 2.414777e-02 5.224377 2.227242e-02 \n", + "537 -3.629831 5.083988 2.414777e-02 5.224377 2.227242e-02 \n", + "2712 -1.383688 5.236100 2.212281e-02 5.213944 2.240645e-02 \n", + "\n", + " p_g2_adjusted \n", + "1743 1.733314e-19 \n", + "4215 1.716105e-03 \n", + "1508 6.112569e-03 \n", + "4495 1.837014e-02 \n", + "2782 2.365652e-02 \n", + "2109 2.404300e-02 \n", + "3750 2.404300e-02 \n", + "115 2.783434e-02 \n", + "512 4.910248e-02 \n", + "921 8.559325e-02 \n", + "4034 1.060152e-01 \n", + "1054 1.060152e-01 \n", + "4169 1.175343e-01 \n", + "269 1.306897e-01 \n", + "3185 1.396500e-01 \n", + "3082 2.088156e-01 \n", + "1099 2.418781e-01 \n", + "4258 2.456818e-01 \n", + "4598 2.587859e-01 \n", + "3222 2.603795e-01 \n", + "1411 2.603795e-01 \n", + "2226 2.603795e-01 \n", + "4454 2.603795e-01 \n", + "1401 2.603795e-01 \n", + "1981 3.370342e-01 \n", + "2977 3.370342e-01 \n", + "3013 3.370342e-01 \n", + "3237 3.370342e-01 \n", + "417 3.370342e-01 \n", + "2016 4.952314e-01 \n", + "1310 5.501480e-01 \n", + "1167 5.501480e-01 \n", + "4101 5.501480e-01 \n", + "4141 5.501480e-01 \n", + "4655 5.501480e-01 \n", + "133 5.501480e-01 \n", + "3767 5.501480e-01 \n", + "2970 5.501480e-01 \n", + "537 5.501480e-01 \n", + "2712 5.501480e-01 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# dalers\n", + "results[results.pct_diff < 0].sort_values('g2', ascending=False)[:40]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/namen.py b/python/namen.py new file mode 100755 index 0000000..6a0e62f --- /dev/null +++ b/python/namen.py @@ -0,0 +1,82 @@ +#!/net/corpora/nlnieuws/notebook/bin/python3 + +import numpy as np +from scipy.stats import chi2_contingency +from statsmodels.stats.multitest import multipletests +import pandas as pd + +# waarom werkt dit niet? +pd.set_option('display.max_rows', 40) + +def corpus_stats(word, counts_recent, counts_reference, total_recent, total_reference): + """ + word : the word being tested + counts_recent : raw count in week 5 + counts_reference : raw count in weeks 1-4 + total_recent : total tokens in week 5 + total_reference : total tokens in weeks 1-4 + """ + a = counts_recent # word in recent + b = counts_reference # word in reference + c = total_recent - a # non-word in recent + d = total_reference - b # non-word in reference + + contingency = np.array([[a, b], + [c, d]]) + + # --- Chi-Squared --- + chi2_stat, p_chi2, _, _ = chi2_contingency(contingency, correction=False) + + # --- Log-Likelihood (G²) --- + # G² = 2 * sum(observed * log(observed / expected)) + # scipy's chi2_contingency with lambda_="log-likelihood" computes this + g2_stat, p_g2, _, _ = chi2_contingency(contingency, lambda_="log-likelihood") + + # --- Effect sizes --- + freq_recent = a / total_recent + freq_reference = b / total_reference + + pct_diff = (freq_recent - freq_reference) / freq_reference * 100 + + # Avoid log(0) with a small epsilon + eps = 1e-9 + log_ratio = np.log2((freq_recent + eps) / (freq_reference + eps)) + + return { + "word": word, + "freq_recent": freq_recent, + "freq_reference": freq_reference, + "pct_diff": pct_diff, + "log_ratio": log_ratio, + "chi2": chi2_stat, + "p_chi2": p_chi2, + "g2": g2_stat, + "p_g2": p_g2, + } + +counts_recent = {} +counts_reference = {} +with open("data.txt", "rt", encoding="utf-8") as fp: + for line in fp: + aa = line.split("\t") + counts_reference[aa[0]] = max(int(aa[1]), 0.5) + counts_recent[aa[0]] = max(int(aa[2]), 0.5) +total_recent = sum(counts_recent.values()) +total_reference = sum(counts_reference.values()) + +results = [ + corpus_stats(word, counts_recent[word], counts_reference.get(word, 0), + total_recent, total_reference) + for word in counts_recent] + +# FDR correction across all words +p_values = [r["p_g2"] for r in results] +_, p_adjusted, _, _ = multipletests(p_values, method="fdr_bh") + +for r, p_adj in zip(results, p_adjusted): + r["p_g2_adjusted"] = p_adj + +results = pd.DataFrame(results) +print(results) +print(results.sort_values('g2')) +print(results.sort_values('pct_diff')) diff --git a/python/score.txt b/python/score.txt new file mode 100644 index 0000000..b4f6ef3 --- /dev/null +++ b/python/score.txt @@ -0,0 +1,30 @@ +Er zijn twee simpele formules om de "effect size" van het verschil tussen twee +relatieve frequenties te rapporteren: + * %DIFF = (freq_B  - freq_A) / freq_A * 100 + Percentage verschil in relatieve frequenties, makkelijk te interpreteren, + maar niet symmetrisch. + * Log Ratio: log2(freq_A / freq_B) + Een symmetrische en interpreteerbare effect size; +1 is een verdubbeling, -1 + een halvering +Twee populaire methodes om de significantie van frequentieverschillen te testen +(ook wel keyword extraction): + * Log-Likelihood Ratio (G^2): meest gebruikte methode in Corpus Linguistics. + Vergelijkt observed vs expected frequency. + * Chi-Squared test (X^2): simpeler dan G^2, maar geeft meer false positives + bij sparse data, werkt niet goed met lage frequenties. +Je kunt dan de gebruiker alleen de woorden met significante verschillen laten +zien (dit zijn dan de keywords). Ik heb met behulp van Claude een notebook in +elkaar gezet met een demonstratie van deze methodes: +→ Word freq comparison.ipynb + + +Er zijn ook geavanceerdere methodes die me te ingewikkeld lijken om te +implementeren, maar ik noem ze voor de volledigheid. In de stylometrie +is Burrow's Zeta populair, deze is bijv. beschikbaar in Stylo +https://github.com/computationalstylistics/stylo onder de oppose() +functie +https://cran.r-project.org/web/packages/stylo/stylo.pdf#Rfn.oppose.1 . +Er is ook een methode die gebruik maakt van Bayesiaanse statistiek en +frequenties uit een achtergrondcorpus, de Fightin' Words methode van +Monroe et al: https://github.com/jmhessel/FightingWords + diff --git a/python/word_freq_comparison.html b/python/word_freq_comparison.html new file mode 100644 index 0000000..788ced3 --- /dev/null +++ b/python/word_freq_comparison.html @@ -0,0 +1,8194 @@ + + + + + +Word freq comparison + + + + + + + + + + + + +
+ +
+ +
+ +
+ + +
+ + +
+ + +
+ +
+
+ + diff --git a/python/word_freq_comparison.ipynb b/python/word_freq_comparison.ipynb new file mode 100644 index 0000000..c51d819 --- /dev/null +++ b/python/word_freq_comparison.ipynb @@ -0,0 +1,500 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "executionInfo": { + "elapsed": 1341, + "status": "ok", + "timestamp": 1781100698726, + "user": { + "displayName": "Andreas van Cranenburgh", + "userId": "13143063654677287265" + }, + "user_tz": -120 + }, + "id": "YMifluhW2rZp" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "from scipy.stats import chi2_contingency\n", + "from statsmodels.stats.multitest import multipletests\n", + "import pandas as pd\n", + "\n", + "def corpus_stats(word, counts_recent, counts_reference, total_recent, total_reference):\n", + " \"\"\"\n", + " word : the word being tested\n", + " counts_recent : raw count in week 5\n", + " counts_reference : raw count in weeks 1-4\n", + " total_recent : total tokens in week 5\n", + " total_reference : total tokens in weeks 1-4\n", + " \"\"\"\n", + " a = counts_recent # word in recent\n", + " b = counts_reference # word in reference\n", + " c = total_recent - a # non-word in recent\n", + " d = total_reference - b # non-word in reference\n", + "\n", + " contingency = np.array([[a, b],\n", + " [c, d]])\n", + "\n", + " # --- Chi-Squared ---\n", + " chi2_stat, p_chi2, _, _ = chi2_contingency(contingency, correction=False)\n", + "\n", + " # --- Log-Likelihood (G²) ---\n", + " # G² = 2 * sum(observed * log(observed / expected))\n", + " # scipy's chi2_contingency with lambda_=\"log-likelihood\" computes this\n", + " g2_stat, p_g2, _, _ = chi2_contingency(contingency, lambda_=\"log-likelihood\")\n", + "\n", + " # --- Effect sizes ---\n", + " freq_recent = a / total_recent\n", + " freq_reference = b / total_reference\n", + "\n", + " pct_diff = (freq_recent - freq_reference) / freq_reference * 100\n", + "\n", + " # Avoid log(0) with a small epsilon\n", + " eps = 1e-9\n", + " log_ratio = np.log2((freq_recent + eps) / (freq_reference + eps))\n", + "\n", + " return {\n", + " \"word\": word,\n", + " \"freq_recent\": freq_recent,\n", + " \"freq_reference\": freq_reference,\n", + " \"pct_diff\": pct_diff,\n", + " \"log_ratio\": log_ratio,\n", + " \"chi2\": chi2_stat,\n", + " \"p_chi2\": p_chi2,\n", + " \"g2\": g2_stat,\n", + " \"p_g2\": p_g2,\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "executionInfo": { + "elapsed": 38, + "status": "ok", + "timestamp": 1781100880331, + "user": { + "displayName": "Andreas van Cranenburgh", + "userId": "13143063654677287265" + }, + "user_tz": -120 + }, + "id": "mHH718-222BM" + }, + "outputs": [], + "source": [ + "# Example data\n", + "counts_recent = {'eend': 150, 'tafel': 101, 'fiets': 102}\n", + "counts_reference = {'eend': 77, 'tafel': 100, 'fiets': 142}\n", + "total_recent = sum(counts_recent.values())\n", + "total_reference = sum(counts_reference.values())" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "executionInfo": { + "elapsed": 7, + "status": "ok", + "timestamp": 1781100881153, + "user": { + "displayName": "Andreas van Cranenburgh", + "userId": "13143063654677287265" + }, + "user_tz": -120 + }, + "id": "urBml1212wxb" + }, + "outputs": [], + "source": [ + "# Run tests on whole vocabulary, including correction for multiple tests\n", + "# (false discovery rate).\n", + "\n", + "results = [\n", + " corpus_stats(word, counts_recent[word], counts_reference.get(word, 0),\n", + " total_recent, total_reference)\n", + " for word in counts_recent]\n", + "\n", + "# FDR correction across all words\n", + "p_values = [r[\"p_g2\"] for r in results]\n", + "_, p_adjusted, _, _ = multipletests(p_values, method=\"fdr_bh\")\n", + "\n", + "for r, p_adj in zip(results, p_adjusted):\n", + " r[\"p_g2_adjusted\"] = p_adj" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 163 + }, + "executionInfo": { + "elapsed": 12, + "status": "ok", + "timestamp": 1781100882491, + "user": { + "displayName": "Andreas van Cranenburgh", + "userId": "13143063654677287265" + }, + "user_tz": -120 + }, + "id": "-y3MUOgI3PFn", + "outputId": "f9a90951-c8f2-45a7-8d8d-fb0e279dd5b3" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
0eend0.4249290.24137976.0420880.81592025.2381175.067080e-0724.7641406.479173e-070.000002
1tafel0.2861190.313480-8.728045-0.1317560.5983714.392004e-010.4747014.908322e-010.490832
2fiets0.2889520.445141-35.087579-0.62343417.6767822.618028e-0517.0514683.638025e-050.000055
\n", + "
" + ], + "text/plain": [ + " word freq_recent freq_reference pct_diff log_ratio chi2 \\\n", + "0 eend 0.424929 0.241379 76.042088 0.815920 25.238117 \n", + "1 tafel 0.286119 0.313480 -8.728045 -0.131756 0.598371 \n", + "2 fiets 0.288952 0.445141 -35.087579 -0.623434 17.676782 \n", + "\n", + " p_chi2 g2 p_g2 p_g2_adjusted \n", + "0 5.067080e-07 24.764140 6.479173e-07 0.000002 \n", + "1 4.392004e-01 0.474701 4.908322e-01 0.490832 \n", + "2 2.618028e-05 17.051468 3.638025e-05 0.000055 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results = pd.DataFrame(results)\n", + "results" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 132 + }, + "executionInfo": { + "elapsed": 65, + "status": "ok", + "timestamp": 1781100883685, + "user": { + "displayName": "Andreas van Cranenburgh", + "userId": "13143063654677287265" + }, + "user_tz": -120 + }, + "id": "nTpOtOka3ViF", + "outputId": "2430f959-eeb9-4670-da76-613406cbf473" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
0eend0.4249290.24137976.0420880.81592025.2381175.067080e-0724.7641406.479173e-070.000002
2fiets0.2889520.445141-35.087579-0.62343417.6767822.618028e-0517.0514683.638025e-050.000055
\n", + "
" + ], + "text/plain": [ + " word freq_recent freq_reference pct_diff log_ratio chi2 \\\n", + "0 eend 0.424929 0.241379 76.042088 0.815920 25.238117 \n", + "2 fiets 0.288952 0.445141 -35.087579 -0.623434 17.676782 \n", + "\n", + " p_chi2 g2 p_g2 p_g2_adjusted \n", + "0 5.067080e-07 24.764140 6.479173e-07 0.000002 \n", + "2 2.618028e-05 17.051468 3.638025e-05 0.000055 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Significant according to Chi2\n", + "results[results['p_chi2'] < 0.05]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 132 + }, + "executionInfo": { + "elapsed": 166, + "status": "ok", + "timestamp": 1781100928540, + "user": { + "displayName": "Andreas van Cranenburgh", + "userId": "13143063654677287265" + }, + "user_tz": -120 + }, + "id": "Mz4zAphE4dBY", + "outputId": "3b42fdd2-f451-47b6-8989-ebf4dafcbf1a" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
0eend0.4249290.24137976.0420880.81592025.2381175.067080e-0724.7641406.479173e-070.000002
2fiets0.2889520.445141-35.087579-0.62343417.6767822.618028e-0517.0514683.638025e-050.000055
\n", + "
" + ], + "text/plain": [ + " word freq_recent freq_reference pct_diff log_ratio chi2 \\\n", + "0 eend 0.424929 0.241379 76.042088 0.815920 25.238117 \n", + "2 fiets 0.288952 0.445141 -35.087579 -0.623434 17.676782 \n", + "\n", + " p_chi2 g2 p_g2 p_g2_adjusted \n", + "0 5.067080e-07 24.764140 6.479173e-07 0.000002 \n", + "2 2.618028e-05 17.051468 3.638025e-05 0.000055 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Significant according to G2 (LLR)\n", + "results[results['p_g2_adjusted'] < 0.05]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "JNCCUpdC4jK5" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "authorship_tag": "ABX9TyOWNAG6IZoh+ik4rqgeMAZj", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/python/word_freq_comparison.ipynb.ori b/python/word_freq_comparison.ipynb.ori new file mode 100644 index 0000000..b4de082 --- /dev/null +++ b/python/word_freq_comparison.ipynb.ori @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOWNAG6IZoh+ik4rqgeMAZj"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"YMifluhW2rZp","executionInfo":{"status":"ok","timestamp":1781100698726,"user_tz":-120,"elapsed":1341,"user":{"displayName":"Andreas van Cranenburgh","userId":"13143063654677287265"}}},"outputs":[],"source":["import numpy as np\n","from scipy.stats import chi2_contingency\n","from statsmodels.stats.multitest import multipletests\n","import pandas as pd\n","\n","def corpus_stats(word, counts_recent, counts_reference, total_recent, total_reference):\n"," \"\"\"\n"," word : the word being tested\n"," counts_recent : raw count in week 5\n"," counts_reference : raw count in weeks 1-4\n"," total_recent : total tokens in week 5\n"," total_reference : total tokens in weeks 1-4\n"," \"\"\"\n"," a = counts_recent # word in recent\n"," b = counts_reference # word in reference\n"," c = total_recent - a # non-word in recent\n"," d = total_reference - b # non-word in reference\n","\n"," contingency = np.array([[a, b],\n"," [c, d]])\n","\n"," # --- Chi-Squared ---\n"," chi2_stat, p_chi2, _, _ = chi2_contingency(contingency, correction=False)\n","\n"," # --- Log-Likelihood (G²) ---\n"," # G² = 2 * sum(observed * log(observed / expected))\n"," # scipy's chi2_contingency with lambda_=\"log-likelihood\" computes this\n"," g2_stat, p_g2, _, _ = chi2_contingency(contingency, lambda_=\"log-likelihood\")\n","\n"," # --- Effect sizes ---\n"," freq_recent = a / total_recent\n"," freq_reference = b / total_reference\n","\n"," pct_diff = (freq_recent - freq_reference) / freq_reference * 100\n","\n"," # Avoid log(0) with a small epsilon\n"," eps = 1e-9\n"," log_ratio = np.log2((freq_recent + eps) / (freq_reference + eps))\n","\n"," return {\n"," \"word\": word,\n"," \"freq_recent\": freq_recent,\n"," \"freq_reference\": freq_reference,\n"," \"pct_diff\": pct_diff,\n"," \"log_ratio\": log_ratio,\n"," \"chi2\": chi2_stat,\n"," \"p_chi2\": p_chi2,\n"," \"g2\": g2_stat,\n"," \"p_g2\": p_g2,\n"," }\n"]},{"cell_type":"code","source":["# Example data\n","counts_recent = {'eend': 150, 'tafel': 101, 'fiets': 102}\n","counts_reference = {'eend': 77, 'tafel': 100, 'fiets': 142}\n","total_recent = sum(counts_recent.values())\n","total_reference = sum(counts_reference.values())"],"metadata":{"id":"mHH718-222BM","executionInfo":{"status":"ok","timestamp":1781100880331,"user_tz":-120,"elapsed":38,"user":{"displayName":"Andreas van Cranenburgh","userId":"13143063654677287265"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["# Run tests on whole vocabulary, including correction for multiple tests\n","# (false discovery rate).\n","\n","results = [\n"," corpus_stats(word, counts_recent[word], counts_reference.get(word, 0),\n"," total_recent, total_reference)\n"," for word in counts_recent]\n","\n","# FDR correction across all words\n","p_values = [r[\"p_g2\"] for r in results]\n","_, p_adjusted, _, _ = multipletests(p_values, method=\"fdr_bh\")\n","\n","for r, p_adj in zip(results, p_adjusted):\n"," r[\"p_g2_adjusted\"] = p_adj"],"metadata":{"id":"urBml1212wxb","executionInfo":{"status":"ok","timestamp":1781100881153,"user_tz":-120,"elapsed":7,"user":{"displayName":"Andreas van Cranenburgh","userId":"13143063654677287265"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["results = pd.DataFrame(results)\n","results"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":163},"id":"-y3MUOgI3PFn","executionInfo":{"status":"ok","timestamp":1781100882491,"user_tz":-120,"elapsed":12,"user":{"displayName":"Andreas van Cranenburgh","userId":"13143063654677287265"}},"outputId":"f9a90951-c8f2-45a7-8d8d-fb0e279dd5b3"},"execution_count":12,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" word freq_recent freq_reference pct_diff log_ratio chi2 \\\n","0 eend 0.424929 0.241379 76.042088 0.815920 25.238117 \n","1 tafel 0.286119 0.313480 -8.728045 -0.131756 0.598371 \n","2 fiets 0.288952 0.445141 -35.087579 -0.623434 17.676782 \n","\n"," p_chi2 g2 p_g2 p_g2_adjusted \n","0 5.067080e-07 24.764140 6.479173e-07 0.000002 \n","1 4.392004e-01 0.474701 4.908322e-01 0.490832 \n","2 2.618028e-05 17.051468 3.638025e-05 0.000055 "],"text/html":["\n","
\n","
\n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
0eend0.4249290.24137976.0420880.81592025.2381175.067080e-0724.7641406.479173e-070.000002
1tafel0.2861190.313480-8.728045-0.1317560.5983714.392004e-010.4747014.908322e-010.490832
2fiets0.2889520.445141-35.087579-0.62343417.6767822.618028e-0517.0514683.638025e-050.000055
\n","
\n","
\n","\n","
\n"," \n","\n"," \n","\n"," \n","
\n","\n","\n","
\n"," \n"," \n"," \n","
\n","\n","
\n","
\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"results","summary":"{\n \"name\": \"results\",\n \"rows\": 3,\n \"fields\": [\n {\n \"column\": \"word\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"eend\",\n \"tafel\",\n \"fiets\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"freq_recent\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.07933697379148243,\n \"min\": 0.28611898016997167,\n \"max\": 0.42492917847025496,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.42492917847025496,\n 0.28611898016997167,\n 0.28895184135977336\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"freq_reference\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1033215397950522,\n \"min\": 0.2413793103448276,\n \"max\": 0.445141065830721,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.2413793103448276,\n 0.31347962382445144,\n 0.445141065830721\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pct_diff\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 58.066920556065845,\n \"min\": -35.08757930016359,\n \"max\": 76.04208822339133,\n \"num_unique_values\": 3,\n \"samples\": [\n 76.04208822339133,\n -8.728045325779044,\n -35.08757930016359\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"log_ratio\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.7316166431568862,\n \"min\": -0.6234335352876249,\n \"max\": 0.8159203877129316,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.8159203877129316,\n -0.13175646608914762,\n -0.6234335352876249\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"chi2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 12.622486590913228,\n \"min\": 0.5983706960191795,\n \"max\": 25.238116861051893,\n \"num_unique_values\": 3,\n \"samples\": [\n 25.238116861051893,\n 0.5983706960191795,\n 17.67678188444784\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_chi2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2535647399038483,\n \"min\": 5.067080224469542e-07,\n \"max\": 0.4392003554536562,\n \"num_unique_values\": 3,\n \"samples\": [\n 5.067080224469542e-07,\n 0.4392003554536562,\n 2.618028198517596e-05\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"g2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 12.411361159991287,\n \"min\": 0.47470138151998675,\n \"max\": 24.76413991002474,\n \"num_unique_values\": 3,\n \"samples\": [\n 24.76413991002474,\n 0.47470138151998675,\n 17.051467521507384\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_g2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.28337142981219393,\n \"min\": 6.479173479592146e-07,\n \"max\": 0.4908322269559797,\n \"num_unique_values\": 3,\n \"samples\": [\n 6.479173479592146e-07,\n 0.4908322269559797,\n 3.638024934064761e-05\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_g2_adjusted\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.28336580535875827,\n \"min\": 1.943752043877644e-06,\n \"max\": 0.4908322269559797,\n \"num_unique_values\": 3,\n \"samples\": [\n 1.943752043877644e-06,\n 0.4908322269559797,\n 5.457037401097142e-05\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":12}]},{"cell_type":"code","source":["# Significant according to Chi2\n","results[results['p_chi2'] < 0.05]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":132},"id":"nTpOtOka3ViF","executionInfo":{"status":"ok","timestamp":1781100883685,"user_tz":-120,"elapsed":65,"user":{"displayName":"Andreas van Cranenburgh","userId":"13143063654677287265"}},"outputId":"2430f959-eeb9-4670-da76-613406cbf473"},"execution_count":13,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" word freq_recent freq_reference pct_diff log_ratio chi2 \\\n","0 eend 0.424929 0.241379 76.042088 0.815920 25.238117 \n","2 fiets 0.288952 0.445141 -35.087579 -0.623434 17.676782 \n","\n"," p_chi2 g2 p_g2 p_g2_adjusted \n","0 5.067080e-07 24.764140 6.479173e-07 0.000002 \n","2 2.618028e-05 17.051468 3.638025e-05 0.000055 "],"text/html":["\n","
\n","
\n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
0eend0.4249290.24137976.0420880.81592025.2381175.067080e-0724.7641406.479173e-070.000002
2fiets0.2889520.445141-35.087579-0.62343417.6767822.618028e-0517.0514683.638025e-050.000055
\n","
\n","
\n","\n","
\n"," \n","\n"," \n","\n"," \n","
\n","\n","\n","
\n","
\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","summary":"{\n \"name\": \"results[results['p_chi2'] < 0\",\n \"rows\": 2,\n \"fields\": [\n {\n \"column\": \"word\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"fiets\",\n \"eend\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"freq_recent\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.09615049715851072,\n \"min\": 0.28895184135977336,\n \"max\": 0.42492917847025496,\n \"num_unique_values\": 2,\n \"samples\": [\n 0.28895184135977336,\n 0.42492917847025496\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"freq_reference\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.14408131905055044,\n \"min\": 0.2413793103448276,\n \"max\": 0.445141065830721,\n \"num_unique_values\": 2,\n \"samples\": [\n 0.445141065830721,\n 0.2413793103448276\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pct_diff\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 78.58054149691213,\n \"min\": -35.08757930016359,\n \"max\": 76.04208822339133,\n \"num_unique_values\": 2,\n \"samples\": [\n -35.08757930016359,\n 76.04208822339133\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"log_ratio\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.0177769194811532,\n \"min\": -0.6234335352876249,\n \"max\": 0.8159203877129316,\n \"num_unique_values\": 2,\n \"samples\": [\n -0.6234335352876249,\n 0.8159203877129316\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"chi2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.346671236779749,\n \"min\": 17.67678188444784,\n \"max\": 25.238116861051893,\n \"num_unique_values\": 2,\n \"samples\": [\n 17.67678188444784,\n 25.238116861051893\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_chi2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.8153958246340062e-05,\n \"min\": 5.067080224469542e-07,\n \"max\": 2.618028198517596e-05,\n \"num_unique_values\": 2,\n \"samples\": [\n 2.618028198517596e-05,\n 5.067080224469542e-07\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"g2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.453682946990868,\n \"min\": 17.051467521507384,\n \"max\": 24.76413991002474,\n \"num_unique_values\": 2,\n \"samples\": [\n 17.051467521507384,\n 24.76413991002474\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_g2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.5266574259638985e-05,\n \"min\": 6.479173479592146e-07,\n \"max\": 3.638024934064761e-05,\n \"num_unique_values\": 2,\n \"samples\": [\n 3.638024934064761e-05,\n 6.479173479592146e-07\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_g2_adjusted\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3.721264126387293e-05,\n \"min\": 1.943752043877644e-06,\n \"max\": 5.457037401097142e-05,\n \"num_unique_values\": 2,\n \"samples\": [\n 5.457037401097142e-05,\n 1.943752043877644e-06\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":13}]},{"cell_type":"code","source":["# Significant according to G2 (LLR)\n","results[results['p_g2_adjusted'] < 0.05]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":132},"id":"Mz4zAphE4dBY","executionInfo":{"status":"ok","timestamp":1781100928540,"user_tz":-120,"elapsed":166,"user":{"displayName":"Andreas van Cranenburgh","userId":"13143063654677287265"}},"outputId":"3b42fdd2-f451-47b6-8989-ebf4dafcbf1a"},"execution_count":16,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" word freq_recent freq_reference pct_diff log_ratio chi2 \\\n","0 eend 0.424929 0.241379 76.042088 0.815920 25.238117 \n","2 fiets 0.288952 0.445141 -35.087579 -0.623434 17.676782 \n","\n"," p_chi2 g2 p_g2 p_g2_adjusted \n","0 5.067080e-07 24.764140 6.479173e-07 0.000002 \n","2 2.618028e-05 17.051468 3.638025e-05 0.000055 "],"text/html":["\n","
\n","
\n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
wordfreq_recentfreq_referencepct_difflog_ratiochi2p_chi2g2p_g2p_g2_adjusted
0eend0.4249290.24137976.0420880.81592025.2381175.067080e-0724.7641406.479173e-070.000002
2fiets0.2889520.445141-35.087579-0.62343417.6767822.618028e-0517.0514683.638025e-050.000055
\n","
\n","
\n","\n","
\n"," \n","\n"," \n","\n"," \n","
\n","\n","\n","
\n","
\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","summary":"{\n \"name\": \"results[results['p_g2_adjusted'] < 0\",\n \"rows\": 2,\n \"fields\": [\n {\n \"column\": \"word\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"fiets\",\n \"eend\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"freq_recent\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.09615049715851072,\n \"min\": 0.28895184135977336,\n \"max\": 0.42492917847025496,\n \"num_unique_values\": 2,\n \"samples\": [\n 0.28895184135977336,\n 0.42492917847025496\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"freq_reference\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.14408131905055044,\n \"min\": 0.2413793103448276,\n \"max\": 0.445141065830721,\n \"num_unique_values\": 2,\n \"samples\": [\n 0.445141065830721,\n 0.2413793103448276\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pct_diff\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 78.58054149691213,\n \"min\": -35.08757930016359,\n \"max\": 76.04208822339133,\n \"num_unique_values\": 2,\n \"samples\": [\n -35.08757930016359,\n 76.04208822339133\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"log_ratio\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.0177769194811532,\n \"min\": -0.6234335352876249,\n \"max\": 0.8159203877129316,\n \"num_unique_values\": 2,\n \"samples\": [\n -0.6234335352876249,\n 0.8159203877129316\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"chi2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.346671236779749,\n \"min\": 17.67678188444784,\n \"max\": 25.238116861051893,\n \"num_unique_values\": 2,\n \"samples\": [\n 17.67678188444784,\n 25.238116861051893\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_chi2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.8153958246340062e-05,\n \"min\": 5.067080224469542e-07,\n \"max\": 2.618028198517596e-05,\n \"num_unique_values\": 2,\n \"samples\": [\n 2.618028198517596e-05,\n 5.067080224469542e-07\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"g2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.453682946990868,\n \"min\": 17.051467521507384,\n \"max\": 24.76413991002474,\n \"num_unique_values\": 2,\n \"samples\": [\n 17.051467521507384,\n 24.76413991002474\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_g2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.5266574259638985e-05,\n \"min\": 6.479173479592146e-07,\n \"max\": 3.638024934064761e-05,\n \"num_unique_values\": 2,\n \"samples\": [\n 3.638024934064761e-05,\n 6.479173479592146e-07\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"p_g2_adjusted\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3.721264126387293e-05,\n \"min\": 1.943752043877644e-06,\n \"max\": 5.457037401097142e-05,\n \"num_unique_values\": 2,\n \"samples\": [\n 5.457037401097142e-05,\n 1.943752043877644e-06\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":16}]},{"cell_type":"code","source":[],"metadata":{"id":"JNCCUpdC4jK5"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/r/test-count.R b/r/test-count.R new file mode 100644 index 0000000..ca35ab2 --- /dev/null +++ b/r/test-count.R @@ -0,0 +1,28 @@ +nw <- read.table('data/2026/algemeen-count-per-2026.23-1', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word")) +od <- read.table('data/2026/algemeen-count-per-2026.22-4', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word")) +words <- unique(c(od$word, nw$word)) +o <- order(words) +words <- words[o] +n <- length(words) +d <- data.frame(word=words, od=rep(0, n), nw=rep(0, n)) + +for (word in nw$word) { + d$nw[d$word==word] <- nw$f[nw$word==word] +} +for (word in od$word) { + d$od[d$word==word] <- od$f[od$word==word] +} + +write.table(d, file="tmp.csv", quote=FALSE, sep="\t", row.names=FALSE, fileEncoding="utf-8") + +#### + +oud <- d$od +nieuw <- d$nw + +oud[oud == 0] <- 0.5 +nieuw[nieuw == 0] <- 0.5 + +plot(log(oud), log(nieuw)) +lines(log(range(oud)), log(range(nieuw))) +identify(log(oud), log(nieuw), labels=words) diff --git a/r/test-rang.R b/r/test-rang.R new file mode 100644 index 0000000..27cf768 --- /dev/null +++ b/r/test-rang.R @@ -0,0 +1,32 @@ +nw <- read.table('data/2026/algemeen-rang-per-2026.23-1', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word")) +od <- read.table('data/2026/algemeen-rang-per-2026.22-4', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word")) +words <- unique(c(od$word, nw$word)) +o <- order(words) +words <- words[o] +n <- length(words) +d <- data.frame(word=words, od=rep(NA, n), nw=rep(NA, n)) + +for (word in nw$word) { + d$nw[d$word==word] <- nw$f[nw$word==word] +} +for (word in od$word) { + d$od[d$word==word] <- od$f[od$word==word] +} + +d$nw[is.na(d$nw)] <- max(nw$f) + 2 +d$od[is.na(d$od)] <- max(od$f) + 2 + +myplot <- function(values, labels, titel="", sub ="") { + y <- 1:length(values) + xx <- range(values) + plot(values, y, xlim=c(xx[1], xx[2] + (xx[2]-xx[1]) / 5), xlab="score", ylab="index", main=titel, sub=sub) + text(values, y, labels, pos=4) +} + +nwn <- (d$nw - 1) / (max(nw$f) + 1) +odn <- (d$od - 1) / (max(od$f) + 1) + +v <- odn - nwn +o <- order(-v) +myplot(v[o][1:40], words[o][1:40], titel="score op basis van genormaliseerde rang", "week 23 t.o.v. week 19 t/m 22") +