Interesting guess!

Let's see. What if I take all mentions of each language on HN's who's hiring threads, vs % of women interested in each language?

There is correlation!

Chart:

- http://i.imgur.com/mcN6Ghz.png

If we take out the 2 outliers (r, go) - the correlation is 0.61.

  SELECT *
  FROM (
    SELECT word, COUNT(*) c FROM (
      SELECT SPLIT(REGEXP_REPLACE(LOWER(text), r'[^a-z]', ' '), ' ') words
      FROM `bigquery-public-data.hacker_news.full` 
      WHERE parent IN (
        SELECT id
        FROM `bigquery-public-data.hacker_news.full` 
        WHERE title LIKE 'Ask HN: Who is hiring?%2017%'
      )
    ), UNNEST(words) word
    WHERE LENGTH(word)>1 OR (word='r')
    GROUP BY 1 
    HAVING c>30
  ) a JOIN (
    SELECT LOWER(WantWorkLanguage) language, COUNT(*) responses, ROUND(100*COUNTIF(v='Female')/COUNT(*), 2) perc_female
      FROM (
        SELECT SPLIT(WantWorkLanguage , '; ')  WantWorkLanguage, Gender v
        FROM `fh-bigquery.stackoverflow.survey_results_public_2017`
        WHERE WantWorkLanguage!='NA' AND Gender!='NA'
      ), UNNEST(WantWorkLanguage) WantWorkLanguage 
      GROUP BY 1
      HAVING responses>2000
  ) b
  ON a.word=b.language

(caveat: "go" is an overloaded word)