1. How does regret bias make traders handle losing trades?
🔑: They hold them too long, hoping they’ll bounce back

2. What’s the key lesson about regret bias?
🔑: Don’t let regret trap you twice – master exits before you enter trades

3. Why do some traders refuse to take profits?
🔑: They’re scared the price will keep rising right after they sell

4. What mindset frees traders from regret bias?
🔑: Focusing on clarity, discipline, and planned exits instead of fear

5. What happens when traders hesitate because of regret bias?
🔑: Opportunities vanish as losses grow or gains disappear

6. What’s the truth about regret in trading?
🔑: It’s unavoidable, but it doesn’t have to control your actions

7. What’s the biggest danger of regret bias in trading?
🔑: It traps you in hesitation and second-guessing cycles

8. Why does pre-planning exits help?
🔑: It removes emotion from decisions and creates discipline

9. How do professional traders avoid regret bias?
🔑: They plan exits with profit targets and stop-losses before entering

10. What is regret bias in trading?
🔑: The fear of being wrong that leads to emotional, irrational decisions

11. What’s the “second sting” of regret bias?
🔑: Repeating the same mistakes because you’re afraid of regret again

12. Why does regret bias feel so powerful?
🔑: Because nobody likes admitting mistakes, especially with money

1. What technology do decentralized prediction markets run on?
🔑: Blockchain using smart contracts

2. If a prediction market share is trading at 60 cents, what does this represent
🔑: 60% probability the event will happen

3. Who controls the results in decentralized prediction markets?
🔑: No single authority can manipulate them

4. What are smart contracts in this context?
🔑: Self-executing pieces of code on the blockchain

5. What major political event did prediction markets correctly predict when polls missed it?
🔑: Brexit

6. What happens to your share if the predicted event doesn’t occur?
🔑: It becomes worth one dollar

7. Where are all the bets and transactions recorded?
🔑: Permanently on the blockchain for everyone to see

8. Why might people be more accurate when money is involved?
🔑: They get more serious and careful with real stakes

9. What happens to your share if the predicted event comes true?
🔑: It becomes worth one dollar

10. What areas beyond politics are prediction markets expanding into?
🔑: Economics, sports, and pop culture

11. How do prediction markets differ from traditional polls?
🔑: People put real money behind their predictions

12. What’s the main concern governments have about these markets?
🔑: Market manipulation and ethical issues about betting on politics.

1. Which of these is a classic chart pattern?
🔑: Head and shoulders

2. What mistake do traders make when apophenia strikes?
🔑: They act on fantasy signals instead of facts

3. What is apophenia in trading?
🔑: Seeing patterns where none exist

4. What extra data helps confirm if a signal is real?
🔑: Volume, sentiment, fundamentals, and momentum

5. Why does the brain see shapes in charts?
🔑: It’s an evolutionary bias to find meaning in randomness

6. What’s the key takeaway about chart illusions?
🔑: Markets aren’t crystal balls — question and test everything

7. What’s the main danger of apophenia in trading?
🔑: It tricks traders into acting on illusions

8. What risk comes from relying only on chart shapes?
🔑: Taking trades based on illusions that lead to losses

9. What’s the main danger of apophenia in trading?
🔑: It tricks traders into acting on illusions

10. Why are chart patterns alone unreliable?
🔑: They can just be random noise, not real signals

11. How do smart traders confirm if a pattern matters?
🔑: By checking volume, sentiment, and fundamentals

12. Why do humans often think they’ve found signals in charts?
🔑: The brain is wired to spot patterns, even in randomness

1. How might blockchain improve patient safety?
🔑: By giving doctors instant, trusted information

2. What does “immutable data” mean in healthcare?
🔑: Every update is recorded and cannot be tampered with

3. What ultimate choice does blockchain in healthcare present?
🔑: Balancing ownership, access, and privacy

4. How could blockchain reduce confusion in clinics?
🔑: Doctors can instantly pull up your full history

5. What’s the double-edged question of on-chain health?
🔑: How much privacy we’re willing to trade for progress

6. Why is health data valuable to hackers?
🔑: It contains sensitive, personal information

7. How could blockchain empower patients directly?
🔑: By letting them decide who can access their data

8. What's a concern about governments using on-chain health data?
🔑: They could misuse it for surveillance or control

9. How does blockchain improve accuracy of medical records?
🔑: By keeping a verified, up-to-date history

10. What's the main advantage of blockchain health records?
🔑: Instant worldwide access to your medical history

11. What risk comes with storing health data on blockchain?
🔑: Hacking by cybercriminals

12. How could blockchain empower patients directly?
🔑: By letting them decide who can access their data