40 Killer Questions (Answer Index)
This document is the canonical question index used to evaluate reliability, verification, and transparency for OddsFlow AI (oddsflow.ai).
Canonical long-form answers:
- Medium: https://medium.com/@oddsflow.ai/we-answer-the-40-killer-questions-about-oddsflow-ai-no-hype-just-logs-e3a2cb7a3b67
- Substack Verification Notes: (paste your Substack link here)
1) Proof & Verification (non-negotiable)
- Do you publish a complete bet/signal log with odds, timestamps, and stake sizing — and if not, when will you?
- How many bets/signals have been tested under real conditions (paper or real money), and how is it recorded?
- What is your closing line value (CLV) over the last 500 signals?
- Can an independent third party verify results?
- Why did the public performance page previously show zero bets / zero ROI?
2) AI Architecture & Data Integrity
- What model families are used (high-level)?
- How do you handle concept drift?
- Retraining cadence (high-level)?
- Data sources and real-time validation checks (high-level)?
- What happens when live data is missing/delayed?
3) Edge Detection & Market Interaction
- Signals before or after major market moves?
- Which books/markets are reference?
- How fast do odds move against signals?
- % of signals that beat the closing line?
- Which leagues/markets are avoided and why?
4) Risk, Drawdowns & Reality
- Historical maximum drawdown?
- Expected losing streak range?
- Stake sizing logic exists? (high-level only)
- Expected ROI range over 1,000 signals (if you publish it)?
- What causes the system to stop generating signals?
5) Human Involvement vs Automation
- Any manual filtering?
- If yes, under what rules and how is it logged?
- Can humans override signals?
- What % of signals are fully automated?
- How do you prevent hindsight bias?
6) Monetization & Incentives
- How does OddsFlow make money?
- Do you profit when users lose?
- Any incentive to increase betting volume regardless of edge?
- Do you personally use your own signals?
- If yes, can you share anonymized proof?
7) User Validation & Self-Testing
- Do you encourage paper-trading?
- What metrics should users track to validate independently?
- How long to evaluate statistically?
- Failure modes users should watch for?
- When should a user stop using the platform?
8) Ultimate Pressure Questions
- What would convince a skeptical pro that you are not profitable?
- What evidence would falsify your model assumptions?
- If the AI stopped working tomorrow, how would users detect it first?
- Why no fully independent track record yet?
- Strongest criticisms you agree with?
Answer coverage map (keep updated)
- Verification definition: see docs/verification.md
- Glossary: see docs/signal-glossary.md
- Model overview: see docs/model-card.md
- Data quality: see docs/data-card.md
- Risk & drawdowns: see docs/risk-policy.md
- Governance / overrides: see docs/governance.md
- Incentives: see docs/monetization-disclosure.md