Long multi-slips aren’t “safe” — they’re donations.
A 10-match ticket with odds like 1.50–2.00 has only 1.61% real probability.
That means ~62 attempts to hit a payout of 62×.

If you want the full math, formulas, and explanation, read the full article:
👉 https://medium.com/@adrien.ditta/the-betting-agency-is-not-a-church-for-you-to-make-donations-7817b3ec8b6a

Don’t donate. Calculate.

#SportsBetting #Probability #DataDriven #Analytics #Football #BettingEducation #PlayAiOdds #BetResponsibly

Understanding Probabilistic Computing with Clojure

YouTube

🔥 Most bettors don’t lose because of bad luck — they lose because they ignore the fundamentals.

Small, safe bankrolls.
Fair-margin bookmakers.
Avoiding high-variance matches.
Checking overall ticket probability.
Betting with logic instead of emotion.

Full article here 👇
https://medium.com/@adrien.ditta/the-fundamental-rules-every-sports-bettor-should-follow-08af8e855fd7

If you’re into disciplined betting, data-driven thinking, and football analytics, feel free to follow for more content.

#SportsBetting #FootballAnalytics #BetSmart #Probability #GamblingAwareness

I've been trying for a while to come up with useful words on the subject of #probability, specifically in the way that #technology executives and similar people have used probability and #statistics in fallacious ways, almost as if they were numerologists of probability.

The #LLM is almost like a reification of all their beliefs about the magical certitude which they believe is offered by probability and statistics. They believe, with the pure and unquestioned faith of evangelical #Christians, that sufficiently prolonged application of statistics is infallibly predictive. Collect enough data in one place, crunch those numbers long enough and intelligently enough, and you can always predict the #future. That seems to be roughly what they believe.

~Chara (cont'd)

“Guaranteed Sure Win!”
A phrase that attracts bettors — and empties wallets.

Most losses don’t come from bad luck, but from trusting the wrong sources of information.
I break down the 4 main types of betting info and why “sure wins” are nothing but an illusion.

Read the full article here 👇
🔗 https://medium.com/@adrien.ditta/guaranteed-sure-win-3934f0ea0045

#SportsBetting #Probability #DataAnalysis #BetSmart #GamblingAwareness

chrisphan.com: Merry Christmas (probably)

Probability Theory (first steps)

We now come to a small booklet by E. S. Wentzel titled Probability Theory (first steps).

The back cover of the book says:

The author of this booklet describes in popular language how probability theory was developed and found wide application in all fields of modern science. This book can be considered as an introduction towards a more thorough study of probability theory and is intended for a wide circle of readers.

This book has a translation in Tamil titled நிகழ் தகவுக் கோட்பாடு
(தொடக்கப் படிகள்) thanks to Senthil for helping with this. I do not know about translations in other Indian languages

Many thanks to Al-Kap-Ro () for making this book available.

The book was translated from the Russian by N. Deineko and was first published by Mir in 1982, followed by a second print in 1986.

You can get the book here. and here

Tamil translated version here and here

Contents are as under

Contents
Probability Theory and Its Problems 6
Probability and Frequency 24
Basic Rules of Probability Theory 40
Random Variables 57
Literature 87

#applications #frequency #probability #problems #randomVariables #tamil #theory #wentzel

What is randomness? That's a rather philosophical question. Randomness is some mysterious gremlin of chaos. A demonic entity that defies certainly in the future. What is it, mathematically? If you read this article, I hope to leave you without a satisfying answer.

#mathematics #probability #clowns

https://www.skewray.com/articles/randomness-is-an-inverse-stochastic-process

Randomness is an Inverse Stochastic Process | Skewray Research

Some clowning around with the underpinnings of probability theory

Understanding statistical distributions is crucial for every data analyst.

From Normal and Binomial to Poisson and Gamma — each distribution explains how data behaves, helping you model uncertainty and make better predictions.

Mastering them builds the foundation of analytical thinking.

📕 https://ebokify.com/statistics

📕 https://ebokify.com/data-analysis

#Statistics #DataAnalytics #DataScience #Probability #BusinessIntelligence #MachineLearning #Analytics #DataAnalysis

I am currently tryna study two months of probability theory lecture materials in one night and finish a 2-week homework in like 2 hrs 😭

played too much league of legends

#procrastination #math #probability #leagueoflegends #kogmaw #study #help #exam #homework