pick up that dropped factor of 2

The original calculation was comparing cis women to trans people in
general, but I want to be comparing cis women to trans women.

diff --git a/content/2020/survey-data-on-cis-and-trans-women-among-haskell-programmers.md b/content/2020/survey-data-on-cis-and-trans-women-among-haskell-programmers.md
index abc56ed..1a61b8b 100644 (file)
--- a/content/2020/survey-data-on-cis-and-trans-women-among-haskell-programmers.md
+++ b/content/2020/survey-data-on-cis-and-trans-women-among-haskell-programmers.md
@@ -61,4 +61,4 @@ It prints this tally:
 2020: total: 1348, cis-♀: 12 (0.89%), trans-♀: 21 (1.56%)
 ```
 
-In this particular case, it looks like the stereotypes are true: only about 3% of Haskell programmers (who took the survey) are women, and they're about equally likely to be cis or trans. (There were more cis women in 2018, and more trans women in 2020, but the sample size is too small to infer a trend.) In contrast, the ratio of cis women to trans women in the general population is probably more like 85:1.[ref]A [2016 report](https://williamsinstitute.law.ucla.edu/publications/trans-adults-united-states/) by the Williams Institute at the University of California at Los Angeles estimated the trans share of the United States population at 0.58%, and (0.5−0.0058)/0.0058 ≈ 85.21.[/ref]
+In this particular case, it looks like the stereotypes are true: only about 3% of Haskell programmers (who took the survey) are women, and they're about equally likely to be cis or trans. (There were more cis women in 2018, and more trans women in 2020, but the sample size is too small to infer a trend.) In contrast, the ratio of cis women to trans women in the general population is probably more like 171:1.[ref]A [2016 report](https://williamsinstitute.law.ucla.edu/publications/trans-adults-united-states/) by the Williams Institute at the University of California at Los Angeles estimated the trans share of the United States population at 0.58%, and (1−0.0058)/0.0058 ≈ 171.4.[/ref]