X-Git-Url: https://iankelling.org/git/?p=iankelling.org;a=blobdiff_plain;f=blog%2F2014-10-14-on2-vote-results.md;h=0d44d6f852d7fc8db540a72f7cf3df1d434d8e52;hp=f396e7b7502f7f3e551d557f2726c45653617241;hb=4e6b44f51633535bc5d5e185bfc9821fbc763edc;hpb=d0a5b73d2a275bfff5957961f2360df8966bee22

diff --git a/blog/2014-10-14-on2-vote-results.md b/blog/2014-10-14-on2-vote-results.md
index f396e7b..0d44d6f 100644
--- a/blog/2014-10-14-on2-vote-results.md
+++ b/blog/2014-10-14-on2-vote-results.md
@@ -22,6 +22,6 @@ As I noted, opinions were split, with ~55% "sounds good", ~25% "sounds ok", and
 
 There weren't any words that stood out as universally disliked, although a few awkward combinations rounded the bottom with 60% "sounds wrong or confusing." I would recommend using one of the above, or a variation, which is still about 20 options.
 
-That is the high level overview. If you want to see all the words and their vote percentages, they are [here](/on2/on2-vote-detailed-analysis.txt).
+That is the high level overview. If you want to see all the words and their vote percentages, they are [here](/on2vote/on2-vote-detailed-analysis.txt).
 
 Natural language sure can complicate things. Looking at data can give us some insights though. I wonder how preferences will change in 5 or 10 years.