This feels like the wrong conclusion to draw (especially the second part), but I suck at statistics so someone please explain where I'm off.
Extreme example: suppose a company has 100 employees. Four of them are in the union bargaining team and they just happen to all work for the widgets department because of an accident of history or randomness etc. The widgets department has 10 people overall.
Now the company decides for business reasons entirely unrelated to unions, that thanks to GPT they don't need so many people in the widgets department. So they fire 8 people from widgets. Assume further that they went out of their way to protect the union bargainers: of those 8 people fired, only 2 are in the union bargaining team. (That means that the remaining 2 widgets people are both union bargainers.)
Even though the company went out of their way to protect the union bargainers, statistically they only laid off 8% of the company, but 50% of union bargainers. Would that be illegal or even unfair?
(In the real world, I am fairly sure that union bargainers are concentrated in some departments. Mostly because it attracts certain kinds of people, and different departments also attract certain kinds of people.
But, of course, I have no clue what the reality inside of Bandcamp was like. I'm just speculating about hypothetical examples.)
My example crucially hinges on the company being able to convincingly argue that they singled out that particular widget department for reasons unrelated to the union. If they can't make that argument, or someone even manages to proof that they fired from the widget department _because_ of the union people, then they would be in deep trouble.
P(lose job | bargainer): 50%
P(lose job | not bargainer): 6.25%
but -----widgets team-----
P(lose job | bargainer) 50%
P(lose job | not bargainer) 100%
-----everyone else----
P(lose job | bargainer) NaN
P(lose job | not bargainer) 0%
----------------------
Simpson's paradox in its prototypical form occurs when the comparison drawn in the top table (of just one cell) is reversed in every cell of the bottom table. (Which has two cells, here.)This isn't the cleanest example, since the comparison at the bottom can't be drawn at all. But the way the problem is narrated, it would counterfactually have exhibited the paradox.
Edit: also, another confounding factor that hasn't been discussed is job role/department. Layoffs and union membership are definitely not evenly distributed across role/department, but there is not enough info in the article to know if the layoffs were targeting specific roles or uniform across the company.
Modelling any of these assumptions yields an arbitrary probability of your own choosing.
>> You might want to ask yourself "Do I really believe that, if I thought I might be about to get fired, that would have no influence on whether I tried to join a union?"