
Now: quantitative analysis, @Yankees // Then: MS in statistics @Duke, content for @IBM, @ThePracticalDev // Always: blogging about data, missing lefty layups
New York City
Joined August 2013
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NFL teams make better 4th down decisions in preseason games that *don't even matter*.
In other words: when coaches are freed from the objective of winning, they sometimes end up making more optimal winning decisions!
Thread below on the data, methodology, and results ⬇️
in honor of Father’s Day yesterday, I built dad-gpt.com, an ambitious addition to the LLM landscape that replicates conversations you might have with your dad. check it out:
did some quick, fun research on personal spending:
I spend about $50 a week at the local bodega for simple groceries, snacks, etc. For years there was a good one just a single block away...
and then another bodega opened up literally at the base of my apartment building. somehow I'd been gifted an even closer convenience store! I quickly felt my allegiances shifting...
how quickly? after less than a month I completely abandon the old spot, according to my credit card data ⬇️
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Walker Harrison retweeted
on the left is an actual topographic map of Brooklyn
on the right is one I estimated using only @CitiBikeNYC ride data and the principle that it's harder to bike uphill
pretty close!
methodology and #rstats code in my linked post and the thread below 🧵
walker-harrison.com/posts/ci…
on the left is an actual topographic map of Brooklyn
on the right is one I estimated using only @CitiBikeNYC ride data and the principle that it's harder to bike uphill
pretty close!
methodology and #rstats code in my linked post and the thread below 🧵
walker-harrison.com/posts/ci…
Plugging these 700+ estimated elevations into a smoother creates a full contour map of Brooklyn. Its peaks and valleys are a little more gradual than the real map, which is what we'd expect from a noisier, coarser dataset. But the main features are recovered, which is pretty neat
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Week 1 is in the books — time for a @straightenerbot recap 🧵
A somewhat underwhelming week: 16 games with an average Excitement Index of 3.7, good for 31st percentile among the 429 regular season weeks going back to 1999.
xitter.cf/straightenerbot/status…
Sep 09, 2024
Final: SF 32, NYJ 19
Excitement Index: 2.115
Percentiles (non-OT games):
▪7.2% in 2024 (14 of 15)
▪16.1% since 2011 (2796 of 3330)
▪18.6% since 2011 for SF (189 of 232)
▪18.5% since 2011 for NYJ (173 of 212)
#JetUp #FTTB #NYJvsSF
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Not only did teams have byes in Week 1 for those three years, but the 2001 Cardinals got further delayed by the 9/11 attacks and didn’t play their first game until September 23.
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