According to algolia, there were 57 posts with jane street somewhere in the title or url in the last year, so a bit more than one per week. For a Poisson distribution with rate = 57/52, P(X >= 4) ~= 2.5%. So there should on average be ~5 weeks with 4 or more jane street related posts at that rate.

Probably just random fluctuation.

▲ stuxnet79 4 hours ago | parent | next [-]

This is the kind of pedantry I come into HN for. Poisson is such an under-utilized distribution for these kinds of phenomena.

	▲	tmoertel 2 hours ago \| parent \| next [-]
		> Poisson is such an under-utilized distribution for these kinds of phenomena. Yeah, Poisson distributions show up everywhere if you are paying attention. You can even use the theory as the basis for a fast, elegant algorithm to take parallel, weighted random samples. You can even do it in SQL!: `SELECT * FROM Population WHERE weight > 0 ORDER BY -LN(1.0 - RANDOM()) / weight LIMIT 100 -- Sample size.` For more on the Poission connection, see: https://blog.moertel.com/posts/2024-08-23-sampling-with-sql....
	▲	Karrot_Kream an hour ago \| parent \| prev [-]
		Isn't it a natural modeling choice? If your events arrive on exponentially distributed deltas, you end up having poisson arrival counts.

▲ saghm 6 hours ago | parent | prev | next [-]

I appreciate a data-focused response here! What I'm more curious about is how many of these reached the front page. My impression is that the rate of how often they reach the front page is probably a good amount lower than once a week, which I think makes the question of whether this is a coincidence or not more reasonable.

▲ seizethecheese 4 hours ago | parent | prev [-]

Except I'm pretty sure there are three from the last 24 hours. Two live on the front page right now and one about some almost flooding just dropped off.