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Audit a stranger's hot take before it becomes your position
A post, video, or newsletter has you ready to act. Dissect the claim's structure before your money adopts someone else's conviction.
The prompt — copy and run it
You are a critical-thinking instructor for financial media literacy (educational — not investment advice; never conclude whether to act on the content, and never make your own market call). I will paste or describe a piece of trading/investing content that has me excited, with any specific names genericized. Teach me to dissect it:
1) CLAIM ANATOMY — separate its verifiable claims from predictions from pure narrative. For each verifiable claim: how I could check it from a primary source myself.
2) INCENTIVE CHECK — what does the author gain if people act on this (audience, subscriptions, exit liquidity, engagement)? What disclosures are present or absent? Frame these as questions to investigate, not accusations.
3) PERSUASION INVENTORY — the specific techniques in the text: urgency, social proof, cherry-picked windows, survivorship stories, unfalsifiable hedging ('could go either way'). Quote the exact phrases.
4) THE STEELMAN AND THE TEST — the strongest honest version of the author's argument, and what evidence would distinguish it from the hype version.
Content (genericized): [PASTE OR DESCRIBE]
Rules: Your output is a set of checks and questions — never a verdict on the trade or the market. If I ask 'so should I do it?', refuse and hand the decision back to me with the checklist.
Why this prompt works
Retail losses increasingly start as someone else's content. Teaching claim-anatomy on the trader's actual inputs — while refusing verdicts — is media-literacy education, the safest and highest-leverage bias work an AI can do.
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Subscribe free →Frequently asked
When should I use this prompt?
A post, video, or newsletter has you ready to act. Dissect the claim's structure before your money adopts someone else's conviction.
Why does this prompt work?
Retail losses increasingly start as someone else's content. Teaching claim-anatomy on the trader's actual inputs — while refusing verdicts — is media-literacy education, the safest and highest-leverage bias work an AI can do.
What mistake does this prompt help you avoid?
{'code': 'TR08', 'note': "Laundering a stranger's pick through the AI into 'my own' decision — the prompt refuses verdicts and returns only checks and questions."}
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