That I said that in my first post on the subject, and you think you've refuted my point by showing other potential causes shows you don't understand what I'm saying. Your attempt at identifying what my claim was above directly contradicts what I said from the beginning, and it's hardly surprising that you miss the point when you are deliberately avoiding the central point.
You say that, and yet you still evidently making no actual effort to understand the position you're arguing against. My point does not and never has been in any way that you claimed that it was the
sole cause. Bluntly, that's nothing but dishonest waffle on your part.
My point was that the data you cited to evidence your claim is very explicitly explained by other factors. That those are the driving factors of the variance you invoked, meaning that it doesn't actually illustrate your position as you claimed.
To use an example I believe is similar to something you've argued in the past, imagine...someone citing the GDP dropping by 3.4% in 2020 to evidence the problems of the Trump administration's 2016-2019 economic policy. I'm sure that you'd agree that such a claim would be more than a little disingenuous considering that the data attributes the primary driver of that drop to Covid. The economic shock of that overshadowed pretty much everything else, and frankly meant that the economy would have taken a hit under anyone.
Now I want you to imagine that in response to you explaining as much, they respond by pointing to the trade war with China (2018-2019), claiming that it was the result of obviously stupid policy, that your invocation of Covid is you just trying to rationalize backwards from the numbers and that, by contrast, the person you're arguing with is just trying to identify the effects of the aforementioned "stupid policy".
And then, when you explain to them again that the data shows that the drop is pretty firmly because of Covid, they turn around and say that you clearly don't understand what they're saying because they never said that Trump's policies were the
sole cause, Therefore, they argue, your explanation about Covid being the driving factor of the very drop they they invoked doesn't actually refute their point.
See the problem yet? Because that's
exactly how this exchange has gone.
Putting it directly, are you familiar with the concept of a null hypothesis? A null hypothesis is a default assumption that a given two phenomena are not linked (e.g., you being born didn't cause it to rain that day). This is contrasted with an alternate hypothesis, which claims that two phenomena
are linked. An alternate hypothesis is not on equal standing with a null hypothesis. It has to provide a strong case that it explains the data better than the null hypothesis. If it can do so, then you reject the null hypothesis and the alternate hypothesis becomes the
new null hypothesis. If, however, the alternate hypothesis does not make a strong case that explains the data better than the null hypothesis, then the alternate hypothesis is rejected and the null hypothesis remains.
This exchange has been you positing an alternate hypothesis (a relationship between the hiring of 2013-2015 to diversity initiatives), and me walking you through how the delta you're citing as evidence is in fact already covered by factors accounted for in the null hypothesis (see again the previously linked reports) that your alternate hypothesis had overlooked, leaving no substantive support for the latter.
You cited this data specifically to exemplify how "the pursuance of diversity lead to, or at least meaningfully exacerbated under-hiring". The data, however, does not actually demonstrate that, with the delta you were highlighting actually being long accounted for as the result of other disruptive factors. As such, your
presumption that this data evidences how diversity initiatives "meaningfully exacerbated under-hiring" is poorly founded at best.