Another test could be if there are stretches of time when the account gives the impression, that is length of tweet chains without any white men.
I have explained various flaws of my little analysis, but you prefer to ignore them and claim I have provided evidence for your opinion. Yet you work as a statistician :-(
I give up for now, unless you come up with a proper measurement suggestion.
You want me to suggest a measurement method for a claim you've made. Unfortunately for you, for claims you make, you are responsible for questions of methodology surrounding the evidence you use to support it.
You've demonstrated that you'll ignore the best evidence you have in order to hold an impression that you intuit.
>Huh - that Twitter feed obviously is tilted towards only showing women and PoCs as engineers.
Wrong. You've measured this and you are now saying that one test was flawed. The claim it is "obvious" therefore makes no sense.
>It is not just a "guess" - you can look at that feed and check for yourself.
You looked at the feed yourself and were unable to provide evidence it was biased.
Another test could be if there are stretches of time when the account gives the impression, that is length of tweet chains without any white men.
I have explained various flaws of my little analysis, but you prefer to ignore them and claim I have provided evidence for your opinion. Yet you work as a statistician :-(
I give up for now, unless you come up with a proper measurement suggestion.