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Bayesian Analysis
Explained
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Examples
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Bayesian Analysis
in Excel
Tutorial
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4:07
YouTube
Carneades.org
Bayesian Confirmation Theory
The beginning of a series on the central tenants of Bayesian Epistemology, including the simple principle of conditionalization, confirmation, disconfirmation, entailment, and the new paradox of dogmatism for Bayesian Epistemology. Information for this video gathered from The Stanford Encyclopedia of Philosophy, The Internet Encyclopedia of ...
7.8K views
Jan 19, 2015
Watch full video
Bayesian Statistics Tutorial
0:32
What Is Bayesian Machine Learning? | Bayesian Approach Explained Part 2/4
YouTube
SandboxAQ
15.7K views
2 months ago
1:24
Bayesian logic explained in less than 90 seconds | BBC Ideas
YouTube
BBC Ideas
8.6K views
4 months ago
1:09
90% accurate test. 8% actual chance. #bayesian #bayestheorem #inference#Probability #math
YouTube
DeepLink
1.2K views
1 month ago
Top videos
3:03
Bayesian Epistemology
YouTube
Carneades.org
15.8K views
Dec 21, 2014
0:46
🤔 Guided Hacking's Malware Analysis Tutorials👉 https://t.co/RfWfShJJX3Unpacking VMProtectUnpacking Packed Files SeriesSetting Up CAPEV2 SandboxUnpacking PECompactPractical Malware Analysis ExercisesUnpacking FlawedAmmyyUnpacking ASPackMalware Analysis VM SetupTop 5 IDA Pro Plugins for MalwareGootkit Decryption with PythonRemoving Obfuscation in IDA ProTop 5 Malware Analysis WebsitesLimeCrypter Analysis: Crypter InternalsReverse Engineering Go BinariesStormKitty C# Stealer AnalysisRebuilding IA
x.com
GuidedHacking
2.7K views
2 months ago
0:07
What's the real knowledge cutoff of an LLM — not the date it tells you, but the date its knowledge actually stops?I built ModelClock to measure it. It probes the model against a dataset of 6,917 software releases across 1,158 unique dates (719 usable probe dates after filtering) and runs a Bayesian search until the credible interval tightens.How it works: maintain a posterior over cutoff position. Each round, probe at the 25/50/75 quantiles. Mix in fake version numbers as decoys to catch overcla
x.com
stevibe
12.6K views
1 month ago
Bayesian Inference Examples
0:41
Bayesian Method
YouTube
Symbiosky
153 views
1 month ago
1:31
Understanding Bayesian Methods in Statistics
TikTok
kaylena_rose
130.3K views
8 months ago
1:12
99% accurate test. You test positive. What's the real chance?#bayesian #BayesTheorem #probability
YouTube
DeepLink
557 views
1 month ago
3:03
Bayesian Epistemology
15.8K views
Dec 21, 2014
YouTube
Carneades.org
0:46
🤔 Guided Hacking's Malware Analysis Tutorials👉 https://t.co/RfWfShJJX3Unpacking VMProtectUnpacking Packed Files SeriesSetting Up CAPEV2 SandboxUnpacking PECompactPractical Malware Analysis ExercisesUnpacking FlawedAmmyyUnpacking ASPackMalware Analysis VM SetupTop 5 IDA Pro Plugins for MalwareGootkit Decryption with PythonRemoving Obfuscation in IDA ProTop 5 Malware Analysis WebsitesLimeCrypter Analysis: Crypter InternalsReverse Engineering Go BinariesStormKitty C# Stealer AnalysisRebuilding IA
2.7K views
2 months ago
x.com
GuidedHacking
0:07
What's the real knowledge cutoff of an LLM — not the date it tells you, but the date its knowledge actually stops?I built ModelClock to measure it. It probes the model against a dataset of 6,917 software releases across 1,158 unique dates (719 usable probe dates after filtering) and runs a Bayesian search until the credible interval tightens.How it works: maintain a posterior over cutoff position. Each round, probe at the 25/50/75 quantiles. Mix in fake version numbers as decoys to catch overcla
12.6K views
1 month ago
x.com
stevibe
1:24
“It’s been something I’ve noticed, just since I’ve gotten sort of more clear-eyed on Israel.”Most people reason in Bayesian terms. Over a lifetime, they accumulate a worldview built on experience, ideas, and evidence. When they encounter new facts, they usually adjust those priors incrementally to reconcile the new information with their existing model of reality.For someone to do a sudden complete reversal on a major issue, the new evidence would typically have to be genuinely earthshaking. If
3M views
1 month ago
x.com
Strxwmxn
1:32
Bayesian superyacht sinking 'was not caused by storm'
2 months ago
dailymail.com
0:03
@felitraxx yes, just waiting for my finite state automata's bayesian hyperparameter tuning to finish
77 views
1 month ago
x.com
twink chaser🏳️⚧️🇺🇦🇵🇸🇹🇼🇦🇲
2:02
I support Bayesian thinking, but Monte speaking this way in 2026 about the FO & draft picks is a stark contrast to how he & much of the local media viewed them just a few years ago.Reflective of being high off a dynasty & all the misleading benefit of doubt that was doled out.
25.1K views
2 months ago
x.com
fakelogic
0:58
92% of traders on prediction markets lose money.Only 7.6% finish profitable — and most of the winners are running bots.This isn’t a predictor. It’s a probability engine.Five live BTC signals — RSI, momentum, VWAP, SMA cross, and order-book imbalance — are fused into a single Bayesian score.The system only triggers when 4 out of 5 signals align within a 5-minute window.wallet: https://t.co/LGJ0GtjJujCopytrade https://t.co/ZFyHHogVrZOpus recalibrates the weights every night.89 rewrites in 7 days.T
1.6K views
1 month ago
x.com
Philanthrop
0:23
HOW DOES THIS QUANT BOT PRINT ~$6,874 PER DAY?+$96,240 in 14 days on Polymarket.Only trading short BTC “Up / Down” markets.Then on Apr 30, the wallet switched to high-frequency market making using Bayesian updates + Stoikov pricing.Top trades:$1,199 → $3,855$1,176 → $3,811$1,400 → $4,032All from BTC Up/Down positions.And here’s the interesting part:Those positions can be stacked into one parlay.One correct move compounds the next.Single trade edge becomes multiplied exposure across BTC + ETH + X
3.4K views
1 month ago
x.com
Discover
0:25
HOW DOES THIS QUANT BOT PRINT $10,561 IN PROFIT PER DAY+$401,307 PnL in one month on PolymarketOnly on short crypto “Up or Down” marketsOn Feb 16, this wallet switched to a market-making style using Bayesian + Kelly + Stoikov pricing ruleP(H|D) = P(D|H) · P(H) / P(D)Bayesian is used to update the bot’s internal probability faster than the market updates its oddsWallet using this model:https://t.co/pP89HqvPrmr = s - qγσ²(T - t) - Stoikov is used to manage quoting and inventory riskf = (bp - q) /
30.4K views
3 months ago
x.com
Daniro
0:23
3 steps story.I gave Claude $40 and it made me $8,409 in a week on PolymarketI typed a prompt. Claude wrote the bot. I funded it.$40 in.$8,409 out. 7 days.Someone else did the same thing and turned it into $294,127 in 26 days.And the prompt I used is something I've never shared publicly. Until now.This bro is a great example of how MY system looks at a scale:Profile → 0x0006af12cd4dacc450836a0e1ec6ce47365d8c63$294,127.72 all-time.2,226 predictions.$14,800 biggest win.Joined March 2026. 26.9K vie
19.9K views
2 months ago
x.com
Frogify
0:22
HOW DOES THIS QUANT BOT PRINT $4,687 IN PROFIT PER DAY+$93,744 PnL in 20 days on PolymarketOnly on short crypto “Up / Down” marketsOn Mar 29, this wallet switched to a high-frequency market-making style using Bayesian + Stoikov pricing ruleP(H|D) = P(D|H) · P(H) / P(D)Bayesian is the part of the system that updates the bot’s internal probability before the market has fully repriced the oddsThis Quant Bot's wallet:https://t.co/rSEXvbf6SkThe trader started with $16,000 and is now sitting at roughl
7.5K views
2 months ago
x.com
Daniro
2:36
I’ve said this many times to young broadcasters and this is the perfect example. Time & Score matters for players, it also does for broadcasters. In baseball ⚾️ especially story telling as part of analysis can go hand and glove, no pun intended. @realbenmcdonald illustrates to perfection right here. Not enough media critics today notice this skill set.👊👇🎧🎙️⚾️
947.3K views
2 weeks ago
x.com
Tim Brando
0:25
HOW DOES THIS QUANT BOT PRINT $21,389 IN PROFIT PER DAY+$363,618 PnL in 17 days on PolymarketOnly on short crypto “Up / Down” marketsOn Mar 15, this wallet switched to a high-frequency market-making style using Bayesian + Stoikov pricing ruleP(H|D) = P(D|H) · P(H) / P(D)Bayesian lets the bot update its internal probability before the market fully reprices the oddsThis Quant Bot's wallet:https://t.co/Fx6ZkdFpH0Trader funded this account with $14,827 and now sits at roughly 24.5x on deposit (+2,45
45.4K views
3 months ago
x.com
Daniro
0:25
HOW DOES THIS QUANT BOT PRINT $12,422 IN PROFIT PER DAY+$211,174 PnL in 17 days on PolymarketOnly on short crypto “Up / Down” marketsOn Mar 25, this wallet switched to a high-frequency market-making style using Bayesian + Stoikov pricing ruleP(H|D) = P(D|H) · P(H) / P(D)Bayesian lets the bot update its internal probability before the market fully reprices the oddsThis Quant Bot's wallet:https://t.co/s8vDx1aSuDf = (bp - q) / b* - Kelly is what tells the bot how hard to size into the edger = s - q
12.1K views
2 months ago
x.com
Daniro
0:25
HOW DOES THIS QUANT BOT PRINT $10,859 IN PROFIT PER DAY+$216,894 PnL in 22 days on PolymarketOnly on short crypto “Up / Down” marketsOn Mar 20, this wallet switched to a high-frequency market-making style using Bayesian + Stoikov pricing ruleP(H|D) = P(D|H) · P(H) / P(D)Bayesian is the part of the system that updates the bot’s internal probability before the market has fully repriced the oddsThis Quant Bot's wallet:https://t.co/gLXE3mu6EKThe trader put $54,634 into the account and is now sitting
15K views
2 months ago
x.com
Daniro
0:22
HOW DOES THIS QUANT BOT PRINT $10,716 IN PROFIT PER DAY+$349,760 PnL in 36 days on PolymarketOnly on short crypto “Up / Down” marketsOn Mar 13, this wallet switched to a high-frequency market-making style using Bayesian + Stoikov pricing ruleP(H|D) = P(D|H) · P(H) / P(D)The strongest trades already show what this model is doing:$1,583.87 → $3,953.67 (+149.62%)$373.49 → $2,636.25 (+605.84%)$454.19 → $2,305.40 (+407.58%)This Quant Bot’s wallet:https://t.co/gLXE3mu6EKThe account was funded with rou
7K views
2 months ago
x.com
Daniro
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