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[Ultimately_Untrue_Thought.git] / content / drafts / comment-on-the-sapir-whorf-hypothesis-and-probabilistic-inference.md

diff --git a/content/drafts/comment-on-the-sapir-whorf-hypothesis-and-probabilistic-inference.md b/content/drafts/comment-on-the-sapir-whorf-hypothesis-and-probabilistic-inference.md
index 91c332b..e1a00c3 100644 (file)
--- a/content/drafts/comment-on-the-sapir-whorf-hypothesis-and-probabilistic-inference.md
+++ b/content/drafts/comment-on-the-sapir-whorf-hypothesis-and-probabilistic-inference.md
@@ -10,7 +10,7 @@ Our authors discuss an experiment where people are briefly shown a color, and th
 
 Our authors propose to explain this with a model in which a stimulus is encoded in the brain as both a fine-grained representation of what was actually seen (this-and-such color perception, with some noise/measurement-error), and as a category ("green"). Then reconstruction of the stimulus from the both the fine-grained representation and the category, will be biased towards the center of the category, with more bias when the fine-grained representation is more uncertain (as in the delayed condition).
 
-The model gains further support from a similar "two-alternative forced choice" experiment, where people try to tell the difference between the original color and a distractor, rather than picking from a color wheel.
+The model gains further support from a similar "two-alternative forced choice" experiment, where people try to tell the difference between the original color and a distractor, rather than picking from a color wheel: 
 
 
 
@@ -27,6 +27,3 @@ Bayesian reasoning!
 
 [The answer is always Bayesian reasoning.](https://www.lesswrong.com/posts/QrhAeKBkm2WsdRYao/searching-for-bayes-structure)
 
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