Smoke the Books (@smokethebooks) 's Twitter Profile
Smoke the Books

@smokethebooks

Hedge Fund Manager building sports betting models. Nothing to sell. Free sports back testing software at link below. Don’t bet the rent money people!

ID: 1593273823045898240

linkhttps://www.betcraft.ai/register calendar_today17-11-2022 16:04:22

1,1K Tweet

3,3K Followers

848 Following

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I don’t do a ton of top down betting, but this is the only twitter account that I have notifications on. You should be following him. I don’t want to write a book here, but he’s good in a more sophisticated way that’s applicable to people who are limited most everywhere.

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(EV + EV + EV…) x Correlation ≠ EG. Not to say this won’t work, he’s extremely talented and it’s dope he showed all his bets. As a gambler, I’m rooting for him.

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Polls are garbage in, garbage out. You can’t do calculus on crappy data. There’s no EV if your inputs are crap. It’s a forest for the trees situation. Essentially unbettable.

Polls are garbage in, garbage out. You can’t do calculus on crappy data. There’s no EV if your inputs are crap. It’s a forest for the trees situation. Essentially unbettable.
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There are a few academic papers on this. The one linked is paywalled, but also look at the 41 other papers in the References section. There are a lot of things like this that we "overlay" on our simulation model in one way or another. journals.sagepub.com/doi/abs/10.117…

There are a few academic papers on this. The one linked is paywalled, but also look at the 41 other papers in the References section. There are a lot of things like this that we "overlay" on our simulation model in one way or another.
journals.sagepub.com/doi/abs/10.117…
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ChatGPT: Let's test various publicly-available weather models to see which is the most accurate at predicting wind 7 days in advance.

ChatGPT: Let's test various publicly-available weather models to see which is the most accurate at predicting wind 7 days in advance.
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Important Book Review: Dan Abrams' (Dan Abrams) But How Much Did You Lose? First of all, I think this book & Abrams will become famous one day, in the way Wong Teasers and Kelly Criterion (and their namesakes) are terms known to all sports gamblers. "Losing hurts your

Important Book Review: Dan Abrams' (<a href="/DoctorRazzWSOP/">Dan Abrams</a>) But How Much Did You Lose?

First of all, I think this book &amp; Abrams will become famous one day, in the way Wong Teasers and Kelly Criterion (and their namesakes) are terms known to all sports gamblers.

"Losing hurts your
Smoke the Books (@smokethebooks) 's Twitter Profile Photo

This is correct. Aside from the fact very few papers calculate p correctly, 0.05 is completely arbitrary. The ramification of this on all of our lives is extraordinary. Too many insane examples to list.

Smoke the Books (@smokethebooks) 's Twitter Profile Photo

Wasn’t planning to come to this city ever again but the hotel has a falconer to keep the birds away from my chips, so I might.

Wasn’t planning to come to this city ever again but the hotel has a falconer to keep the birds away from my chips, so I might.
Smoke the Books (@smokethebooks) 's Twitter Profile Photo

There are ways to originate bets that don’t require rocket surgery. Most pro betters have found a number of individual angles throughout their careers. Haralabos Voulgaris’ (Haralabos Voulgaris) story is my favorite because he exploited one fairly simple thing to the tune of $100 million

There are ways to originate bets that don’t require  rocket surgery. Most pro betters have found a number of individual angles throughout their careers. Haralabos Voulgaris’ (<a href="/haralabob/">Haralabos Voulgaris</a>) story is my favorite because he exploited one fairly simple thing to the tune of $100 million
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My beloved Colorado Rockies on pace for -510 run differential. This is how bad that is back to the McKinley Administration. Statistically speaking, you would expect this to happen once every 4,000 years. #selltheteam

My beloved Colorado Rockies on pace for -510 run differential. This is how bad that is back to the McKinley Administration. Statistically speaking, you would expect this to happen once every 4,000 years. #selltheteam