From b021f3abea83b53ae92c096333c6c1160e0a8877 Mon Sep 17 00:00:00 2001
From: NunoSempere <nuno.sempere@protonmail.com>
Date: Thu, 25 May 2023 16:51:39 -0700
Subject: [PATCH] tweak: resize README img again

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 3ce2a8b..af8cf10 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@ Look at 10%, 20%,..., 80%, 90%, 100% of sequences, and give the probability of e
 As described [here](https://nunosempere.com/blog/2023/02/04/just-in-time-bayesianism/), Just-in-time bayesianism is this scheme: 
 
 
-<img src="https://images.nunosempere.com/blog/2023/02/04/just-in-time-bayesianism/bayes-jit.png" width="25%">
+<img src="https://images.nunosempere.com/blog/2023/02/04/just-in-time-bayesianism/bayes-jit.png" width="40%">
 
 I think that the implementation here provides some value in terms of making fuzzy concepts explicit. For example, instead of "did your past hypotheses do an ok job at predicting this new evidence", I have code which looks at whether past predictions included the correct completion, and which expands the search for hypotheses if not.