Fix in-word metric: strict (both-sides, 58% random / 0% clean) vs touches (95%); blog/results caveat corrected to the strict discriminator

1 files changed, 7 insertions, 6 deletions

diff --git a/docs/blog-jlens-frequency.md b/docs/blog-jlens-frequency.md
index ceb97d5..4b2b429 100644
--- a/docs/blog-jlens-frequency.md
+++ b/docs/blog-jlens-frequency.md
@@ -242,12 +242,13 @@ predictability* (what "verbalizable" should mean) depends on a control that is
 still running — see the caveat below.
 
 One caveat, found by a reviewer: the noise token '#' was inserted at random
-character positions, which slices *inside* words ~95% of the time (th#e,
-ki#ng), while '@' always sits at a clean word boundary after "the ". That
-means predictability is not perfectly isolated from n-gram corruption. We are
-running a clean-boundary control (noise token inserted after random word
-boundaries — still unpredictable, no word-slicing) to rule it out; the numbers
-above should be read with that caveat until the control lands.
+character positions, which slices through the middle of a word 58% of the time
+(th#e, ki#ng — letter on both sides), while '@' always sits at a clean word
+boundary after "the ". Predictability is therefore not perfectly isolated from
+n-gram corruption. We are running a clean-boundary control (noise token
+inserted after random word boundaries — 0% word-slicing, still unpredictable)
+to rule it out; the numbers above should be read with that caveat until the
+control lands.
 
 ## 8. The causal test: what actually happened