Mike Beuoy
@inpredict.bsky.social
2.4K followers 140 following 360 posts
actuary creator of inpredictable.com co-creator of evollve.net
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Reposted by Mike Beuoy
celebrityhottub.bsky.social
baseball is the best preparation for death because it does not come with a clock that tells you when your suffering will end one way or the other
inpredict.bsky.social
I'm assuming this is why the phonograph worked. Because on its surface it seems ridiculous that a needle wiggling against some wax could reproduce sound with any fidelity.

But it probably does it just good enough for your brain to tease out the pattern and fill in the blanks.
inpredict.bsky.social
Because the speaker CAN play the higher harmonic frequencies that always accompany the low bass notes, your brain, being the expert evolution-optimized pattern matcher that it is, detects those higher harmonics and assumes the fundamental bass note is there, so that's what you "hear".

2/
inpredict.bsky.social
I recently learned about the "missing fundamental" auditory illusion.

Apparently, your cell phone speaker isn't capable of playing low bass frequencies, even though you think you're hearing them (e.g. a typical male voice).

1/
inpredict.bsky.social
Correct conclusion: You need to control for selection bias first. Selecting teams that scored means your sample is biased towards better teams - which is the likely explanation for why they are more likely to score in the future.
inpredict.bsky.social
I've seen two academic papers in two separate sports make the same mistake related to momentum:

The evidence: Teams that have scored recently are more likely to score again

Incorrect conclusion: This is evidence for momentum in sports
Reposted by Mike Beuoy
statsbylopez.bsky.social
Open role with our Football/Media Data & Analytics teams at the NFL - please reach out if this seems like a good fit
inpredict.bsky.social
Jesse Water is vile for many many reasons, but I'm not sure why you're misrepresenting that clip. It has nothing to do with Judge Goodstein.
inpredict.bsky.social
of course. very sustainable.
inpredict.bsky.social
Ha. Nope. Using Apple Watch.

Me checking the Strava half marathon prediction time: “This app is trying to kill me”
inpredict.bsky.social
it may just be me, but its predictions always seem wildly optimistic
inpredict.bsky.social
believe in yourself like the strava run time prediction algorithm believes in you
inpredict.bsky.social
"But if you keep proving stuff that others have done, getting confidence, increasing the complexities of your solutions - for the fun of it - then one day you'll turn around and discover that nobody actually did that one!"
inpredict.bsky.social
Some good advice on the value of grappling with problems on your own, from the Feynman Lectures on Computation:

"What one fool can do, so can another, and the fact that some other fool beat you to it shouldn't disturb you: you should get a kick out of having discovered something"
Reposted by Mike Beuoy
evollve.net
🚨new stat alert🚨

We've added points scored to our site!

You can now see player points scored on their page, on the team pages, or in the Dig In tool!

For example, Ana Burilović is the only player in the country to score 40+ points in a match so far this season!

evollve.net/stats/ncaa/w...
NCAA Dig In | Player Single Games NCAA
Find the NCAA games that meet the search criteria
evollve.net
Reposted by Mike Beuoy
kpelton.bsky.social
"How is this a tie game?" A documentary on 2025 Indianapolis playoff basketball
inpredict.bsky.social
The code iterates through a team's schedule to build out a sufficient network of games. Non-league games can count towards the SRS rating, but the output table is restricted to just league teams.

Disclaimer: I coded this by hand but then had an LLM help clean up the code and add documentation.
inpredict.bsky.social
The SRS rating of a team is the expected number of sets one would expect it to win (or lose) by to a league average team.

For now, home court advantage is not considered, but that would be fun to explore.
inpredict.bsky.social
The rankings use the Simple Rating System method, which is a regression approach that factors in both strength of schedule and set margin.

You get more credit for playing good teams, and more credit for dominant victories (e.g. winning 3-0 counts for more than winning 3-2)
inpredict.bsky.social
🧵 for any stat-obsessed volleyball moms or dads (or students):

I've created some code that will pull publicly available high school data and then use them to create a strength of schedule adjusted team ranking for your league (see thread).

Example for Marymount (a top CA team):
Reposted by Mike Beuoy
yourmandevine.bsky.social
I hate why I have spent part of this afternoon reading things Kaleb wrote, but if you ever needed an example of why so many people have been so effusive about his writing, a mission statement for what writing's supposed to be, or both, well, you could do a hell of a lot worse than this.
inpredict.bsky.social
The only downside?

If someone sees what you're typing, you look like a crazy person: