Walker Harrison @WalkWearsCrocs

Now: quantitative analysis, @Yankees // Then: MS in statistics @Duke, content for @IBM, @ThePracticalDev // Always: blogging about data, missing lefty layups walker-harrison.com New York City Joined August 2013

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Walker Harrison @WalkWearsCrocs

a year ago

all jokes aside, I did do some analysis on my text messages. since 2022, my dad has sent me 156 thumbs ups. no one else even has 20.

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Walker Harrison @WalkWearsCrocs

a year ago

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:

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Walker Harrison @WalkWearsCrocs

a year ago

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 @WalkWearsCrocs

2 years ago

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/citibike…

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Walker Harrison @WalkWearsCrocs

2 years ago

The cool thing here is that this data isn't "supposed" to have a map hidden in it. But gravity is such a powerful, ubiquitous force that it seeps into CitiBike rider data without being explicitly defined or programmed.

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Walker Harrison @WalkWearsCrocs

2 years ago

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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Walker Harrison @WalkWearsCrocs

2 years ago

@jakebruemmer @straightenerbot Excitement Index adds up all the incremental changes in win probability over the game. You can try to normalize it by game length but I just take the raw sum. So the translation would be 1.0 on the x-scale = 100% cumulative change in win prob

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Walker Harrison @WalkWearsCrocs

2 years ago

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. x.com/straightenerbo…

Straightener Bot @straightenerbot

2 years ago

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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Walker Harrison @WalkWearsCrocs

2 years ago

more straightening next week 👍

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Walker Harrison @WalkWearsCrocs

2 years ago

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.