HN moderators: It would probably be best if you buried my post.<p>I idiotically misread the chart posted in the post. I originally thought the chart under ( <a href="https://cdn-images-1.medium.com/max/800/1*F9MLGQLTU2HZD4In6oNvlw.png" rel="nofollow">https://cdn-images-1.medium.com/max/800/1*F9MLGQLTU2HZD4In6o...</a> ) wasn't normalized to anything; but upon rereading i found that the top row is the comparison row and represents the percentages of working force age us citizens in the tech industry, which Twitter with its 1% falls far below.<p>I'm sorry for my mistake.<p>My original post below for context for the replies made to it, but which is otherwise useless.<p>------------------------------<p>It's alway a little confusing when people bring up diversity reports that aren't normalized to an appropiate comparison metric. (Possibly local demographics, or any number of more in-depth metrics. I also earlier suggested applicant demographics, but justizin pointed out those are not feasible.)<p>Also see: <a href="https://xkcd.com/1138/" rel="nofollow">https://xkcd.com/1138/</a><p>To bring it into contrast with the article, he says:<p>"<5% make up engineering and product management combined."<p>According to this census report: <a href="http://www.bayareacensus.ca.gov/counties/SanFranciscoCounty.htm" rel="nofollow">http://www.bayareacensus.ca.gov/counties/SanFranciscoCounty....</a><p>Race - Black or African American 48,870 6.1%<p>The twitter numbers are thus a little below average, but not necessarily unexpected given where Twitter's headquarter is located.<p>Edit:<p>According to this, Twitter has roughly 30% asians: <a href="https://blog.twitter.com/2014/building-a-twitter-we-can-be-proud-of" rel="nofollow">https://blog.twitter.com/2014/building-a-twitter-we-can-be-p...</a><p>Which seems to fit the census as well:<p>Race - Asian 267,915 33.3%<p>Another Edit:<p>To clarify, i am not saying that there is no problem. I'm merely saying that in order to solve a problem, one must both set appropiate goals, as well as correctly identify the root cause. Both of these can only be done usefully by applying statics correctly.