I assume I'd have to use NCR or something to calculate that. I know the upper (rarest) bound is 1/2^40, but it's likely much more likely, and not random.
Given that 50% of all employees were laid off, what were the odds of at least 40 employees out of 67 randomly-selected employees getting laid off?
=B(67;0.5;40;67)
> 0.07103569
[This is the LibreOffice formula: "in 67 trials which each have a 0.5 chance of success, what is the probability of seeing between 40 and 67 successes?"]One-tailed p-value of 0.07, two-tailed p-value of 0.14. So the odds are about 1 in 7, or 1 in 14.
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?" [Answering this question in the negative means you can justify using the one-tailed p-value, but it also means the odds of getting fired should be substantially above 50%.]
Note also that this number shifts substantially as you move the odds of getting laid off away from 50%. At 53%, you have a one-tailed value of 16.44%. At 47%, it's 2.5%.
You actually want the odds of a specific set of 40 individuals getting laid off. It looks like Bandcamp had 118 employees and 60 layoffs per various news outlets (and on the wikipedia page [0]). Assuming each employee was equally likely to get laid off given the target retention [1], you could compute this from the binomial distribution using "number of ways to predetermine those 40 are getting laid off, plus 20 from the remainder, divided by number of ways to select 60 individuals out of 118".
Or, more concisely, (78 choose 20) / (118 choose 60), which is actually closer to 10^-16 (2 orders of magnitude more unlikely than the simple approximation of 2^-40, which assumes an infinitely large pool).
[0] https://en.wikipedia.org/wiki/Bandcamp : "Songtradr stated that only 60 of Bandcamp's previously 118 workers had been offered a contract."
[1] This is by no means guaranteed.
Well, close. I've computed the odds that at least 40 of a group of 67 special people get laid off.
There is another comment in this thread suggesting that 67 is the number of bargaining team members. I don't know, because I haven't read the article. So my calculation might or might not be right, depending on whether you interpreted the article correctly or the handful of people taking the other position did. My interpretation was that 40 out of 67 union members got fired, which appears to have been wrong.
However...
> You actually want the odds of a specific set of 40 individuals getting laid off.
I definitely don't want that. You never want to make a comparison against a specific outcome when you ask "what are the odds?" like this. All specific outcomes are rare, so that question will never tell you anything informative. (I almost wrote "will never tell you anything useful", but if what you're looking for is a scapegoat, you might find the calculation you propose useful for that. It's not useful for anything else, and frankly it's a disgrace that you suggested it.)
edit:
This is what the article says:
> “On Monday, October 16, 2023 over half of Bandcamp was laid off as a result of Epic Games’ divestiture to Songtradr,” Bandcamp United said in a statement. “Of those laid off, 40 were in the union bargaining unit out of a total 67 members. None of the eight (8) democratically elected bargaining team members received a job offer.”
So it looks like there are these groups:
- bandcamp employees (number unknown)
- union members (number unknown)
- union members on the bargaining team (67)
- union members on the bargaining team who got laid off (40)
- union members elected to the bargaining team (8)
- union members elected to the bargaining team, who got laid off (8)
This suggests that the calculation I gave was the same one that was sought, and also that the base rate, as far as we believe in it, was over 50%. Remember that shifting the odds of being fired from 50% to 53% more than doubled the odds of seeing the pattern we did see.
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?"
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.
in any country which properly enforces labor protection law laying of any union leaders without the agreement of the union is extremely hard and requires missteps of the members like e.g. stealing. Or really unusual situations like you lay of half of the members and over half of the members have young children (or e.g. are disabled, project leaders etc.) but non of the union members have any of that. The likelihood of which is basically 0 in practice.
But that would lead the way to the question of why this was a redundancy rather than dismissal for cause.
Im not any sort of lawyer let alone an employment lawyer, but I’m sure there are some employment lawyers getting in touch with these folks now to test their interest in pushing a case.
The reason is often racism. This time it could legitimately be illegal union busting.
As to why a talented free agent would want to join a union. It seems to me that in an industry with strong union presence then union is obvious to join. It provides so many protections and adds leverage to intangibles that even high earning individuals can’t negotiate for.
If you want to know the odds, you'd have to know their criteria. You can't assume that it was random, because it definitely wasn't. (Though, I've seen the aftermath of a random layoff, I'd take criteria'd layoff every day, even if I'm the one with the pink slip.)