diff --git a/NEWS.md b/NEWS.md
index 3262d65ab..b8c7a5ecb 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -38,6 +38,7 @@
 * Fixed `as.sir()` for data frames silently deleting columns whose AB class was already `<sir>` when called a second time (re-running on already-converted data) (#278)
 * Fixed `as.sir()` for data frames incorrectly treating metadata columns (e.g. `patient`, `ward`) as antibiotic columns when their names coincidentally matched an antibiotic code; column content is now validated against AMR data patterns before inclusion
 * Improved parallel computing in `as.sir()`: when the number of AB columns is smaller than the number of available cores, rows are now split into batches so all cores stay active (row-batch mode). Previously, a 6-column dataset on a 16-core machine would only use 6 cores; now all 16 are used, with each worker processing a smaller row slice (lower per-worker memory pressure)
+* Fixed `as.sir()` ignoring `info = FALSE` for columns with no breakpoints (e.g. cefoxitin against *E. coli*): an operator-precedence bug (`&&`/`||`) caused the "Interpreting MIC values" intro message to fire unconditionally when `nrow(breakpoints) == 0`, regardless of `info`; the progress bar title was also not gated by `info`
 
 ### Updates
 * Extensive `cli` integration for better message handling and clickable links in messages and warnings (#191, #265)
diff --git a/R/sir.R b/R/sir.R
index 024ab34e4..5c6ddb3a2 100755
--- a/R/sir.R
+++ b/R/sir.R
@@ -1598,11 +1598,11 @@ as_sir_method <- function(method_short,
     add_intrinsic_resistance_to_AMR_env()
   }
 
-  if (isTRUE(info) && nrow(df_unique) < 10 || nrow(breakpoints) == 0) {
+  if (isTRUE(info) && (nrow(df_unique) < 10 || nrow(breakpoints) == 0)) {
     # only print intro under 10 items, otherwise progressbar will print this and then it will be printed double
     message_(intro_txt, appendLF = FALSE, as_note = FALSE)
   }
-  p <- progress_ticker(n = nrow(df_unique), n_min = 10, title = intro_txt, only_bar_percent = TRUE)
+  p <- progress_ticker(n = nrow(df_unique), n_min = 10, print = isTRUE(info), title = intro_txt, only_bar_percent = TRUE)
   has_progress_bar <- !is.null(import_fn("progress_bar", "progress", error_on_fail = FALSE)) && nrow(df_unique) >= 10
   on.exit(close(p))