// WHY_LEARN_THIS?

To stop gambling and start investing in decisions.

The Experiment: I asked ChatGPT to design a strict 24-hour crash course to learn Poker Math (Pot Odds). I stripped away the fluff. This is the raw data on how to go from Zero to Glitch in one day.

// THE_FIRST_HOUR

Most people quit in the first 45 minutes. Here is the exact starting instruction to survive:

"Learn to count 'Outs'. How many cards help you win?"

// THE_AI_PROMPT

"Act as a world-class expert in Poker Math (Pot Odds). Create a strict, hour-by-hour schedule for a complete beginner to learn the basics in exactly 24 hours. Focus on practical application over theory. My constraint is Poker Strategy Articles."

// THE_SCHEDULE

Timeframe Module Objective
Hour 0-2
Setup		 Foundation & Mechanics Learn to count 'Outs'. How many cards help you win?
Hour 2-6
The Grind		 Formula Derivation Don't memorize. Understand why it works.
Hour 6-12
Application		 Problem Sets Grinding problems until the pattern is obvious.
Hour 12-18
Debug		 Troubleshooting Pitfall Avoidance: Ignoring implied odds (money you might win later).
Hour 18-24
Mastery		 The Final Project Execute: Calculate the exact percentage chance of winning a hand in 5 seconds
⚠️ HUMAN WARNING
Ignoring implied odds (money you might win later).
💡 PRO TIP
Rule of 4 and 2. Multiply outs by 4 on the flop, by 2 on the turn.

// THE_GLITCH_TASK

To prove completion, I must execute this specific anomaly:

"Calculate the exact percentage chance of winning a hand in 5 seconds"

// CONCLUSION

Can AI teach Poker Math (Pot Odds)? It provided the map, but the Ignoring implied odds (money you might win later). was a real human struggle. The result? Learned enough to be dangerous.

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