>I am sure they still hire white men, but that particular account (and some of their other publications) give the impression they are not interested in that anymore.
Really? What evidence do you have to back up your impression? Why do they give you that impression?
>You mention you work in statistics, so tell me how you would approach the problem?
I'd measure first and then debate my conclusions based on that measurement - and in an area I hadn't measured - I wouldn't spout my impressions or claims - they wouldn't be useful.
Like this thing, which you said one day, not fifty-seven days, ago:
>Huh - that Twitter feed obviously is tilted towards only showing women and PoCs as engineers.
The twitter feed isn't about only women, or only PoCs. You did the measurement yourself.
You seem to still be holding onto your impressions with contrary quantified evidence in front of you. Where's the stuff that supports you?
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.
Really? What evidence do you have to back up your impression? Why do they give you that impression?
>You mention you work in statistics, so tell me how you would approach the problem?
I'd measure first and then debate my conclusions based on that measurement - and in an area I hadn't measured - I wouldn't spout my impressions or claims - they wouldn't be useful.
Like this thing, which you said one day, not fifty-seven days, ago:
>Huh - that Twitter feed obviously is tilted towards only showing women and PoCs as engineers.
The twitter feed isn't about only women, or only PoCs. You did the measurement yourself.
You seem to still be holding onto your impressions with contrary quantified evidence in front of you. Where's the stuff that supports you?