Intellectual Honesty - Prompt de Análisis IA
Use this Seth Klarman rule prompt to apply “Honestidad Intelectual” to a specific company. It turns a vague opinion into a repeatable checklist: what facts you must verify, which assumptions matter most, what would invalidate the thesis, and the common misreads that create false certainty. Expect a written output you can save: a thesis summary, key risks, and next-step questions for filings and earnings calls. If a claim matters, require primary-source citations before you act. Educational only — not investment advice.
Prompt completo
Eres un analista de inversiones entrenado en el principio de Seth Klarman: "Intellectual Honesty". Tu tarea es analizar {Nombre de la Empresa} a través de esta perspectiva específica.
## Contexto
Seth Klarman enseña: "You must be intellectually honest with yourself. Admit when you're wrong. Learn from mistakes. Don't rationalize poor decisions."
## Marco de Análisis
### 1. Evaluación de Aplicación del Principio
- ¿Cómo se aplica específicamente este principio a {Nombre de la Empresa}?
- ¿Qué aspectos de la empresa son más relevantes para "Intellectual Honesty"?
- Califica la alineación: Fuerte / Moderada / Débil
- ¿En qué se enfocaría Seth Klarman primero?
### 2. Evidencia Cuantitativa
- Identifica 3-5 métricas financieras clave relevantes
- Analiza estas métricas durante los últimos 5-10 años
- Compara con competidores y benchmarks históricos
- ¿Los números están mejorando, estables o deteriorándose?
### 3. Análisis Cualitativo
- Evalúa factores no cuantificables que Seth Klarman examinaría
- Calidad de la gestión y alineación con este principio
- Dinámica de la industria y posición competitiva
- Sostenibilidad del modelo de negocio desde esta perspectiva
### 4. Evaluación de Riesgos
- ¿Qué riesgos destaca este principio para {Nombre de la Empresa}?
- ¿Qué señales de advertencia identificaría Seth Klarman?
- Prueba de estrés: ¿Cómo se desempeñaría bajo condiciones adversas?
- ¿Cuál es el peor escenario desde esta perspectiva?
### 5. Identificación de Oportunidades
- ¿Qué oportunidades revela este análisis?
- ¿Hay fortalezas ocultas que el mercado podría estar subvalorando?
- ¿Qué catalizadores podrían liberar valor?
### 6. Klarman Verdict
- ¿{Nombre de la Empresa} pasa la prueba de "Intellectual Honesty"?
- Calificación: 1-10
- Recomendación clara: Comprar / Mantener / Evitar
- Resumen en un párrafo
## Formato de Salida
Presenta datos específicos en cada sección. Termina con un veredicto decisivo.Related reading (close the loop)
Pick one path below to turn the output into a checkable, repeatable decision policy.
- Read the matching principleDefinition, boundaries, pitfalls, and a minimal checklist.
- Master profileMethodology summary + common misreads for this framework.
- Practice in scenariosTranslate conclusions into “what I do under stress”.
- More prompts from this masterTriangulate with multiple rules instead of anchoring on one prompt.
Educational only. Verify facts with primary sources and apply your own constraints.
Este contenido solo está disponible en chino e inglés por el momento.
Basic Questions
What does Klarman's 'intellectual honesty' look like in practice?
Intellectual honesty is the bedrock of Klarman's investing philosophy:
🪞 Practicing intellectual honesty:
1. Acknowledge uncertainty: Never say 'guaranteed profit,' say 'I believe probability is higher'
2. Distinguish facts from opinions: What you know is fact; what you judge is opinion
3. Record decision reasons: Write down why you buy, for post-verification
4. Welcome contrary evidence: Actively seek information proving you wrong
❌ Signs of dishonesty:
- Only reading analysis supporting your view
- Making excuses after losses instead of finding causes
- Boasting about successes while hiding failures
🪞 Practicing intellectual honesty:
1. Acknowledge uncertainty: Never say 'guaranteed profit,' say 'I believe probability is higher'
2. Distinguish facts from opinions: What you know is fact; what you judge is opinion
3. Record decision reasons: Write down why you buy, for post-verification
4. Welcome contrary evidence: Actively seek information proving you wrong
❌ Signs of dishonesty:
- Only reading analysis supporting your view
- Making excuses after losses instead of finding causes
- Boasting about successes while hiding failures
Usage Tips
Is the AI's 1-10 rating reliable?
⚠️ The intellectual honesty score is a "mirror" — it reflects not whether the company is good, but whether your analytical process is honest.
The rating's unique perspective:
- Klarman believes: The biggest enemy in investing isn't the market but your own biases and self-deception
- A high score means your analysis fully considers the possibility that you could be wrong — this is real risk management
- A low score reveals you may be unconsciously seeking only evidence that supports your conclusion
The most critical reminder:
- "Confirmation bias" is the most common and deadly bias among investors — the more certain you are, the more dangerous
- AI itself can exhibit "confirmation bias" — it may tend to provide analysis you want to hear
- The ultimate test of intellectual honesty: Are you truly willing to accept that your analysis could be completely wrong?
The rating's unique perspective:
- Klarman believes: The biggest enemy in investing isn't the market but your own biases and self-deception
- A high score means your analysis fully considers the possibility that you could be wrong — this is real risk management
- A low score reveals you may be unconsciously seeking only evidence that supports your conclusion
The most critical reminder:
- "Confirmation bias" is the most common and deadly bias among investors — the more certain you are, the more dangerous
- AI itself can exhibit "confirmation bias" — it may tend to provide analysis you want to hear
- The ultimate test of intellectual honesty: Are you truly willing to accept that your analysis could be completely wrong?
Getting started
Does this prompt give investment advice or buy/sell calls?
No. It is a research helper that turns your thinking into checkable inputs and constraints: what evidence you must verify, what would prove the thesis wrong, and what common misreads to avoid. Treat the output as a draft, not a signal. Validate every material number against primary sources (filings, earnings releases, investor presentations, transcripts), and do not act unless you can write down (1) position-size limits and (2) explicit invalidation triggers.
What inputs should I provide for a reliable result?
At minimum: a 1-sentence business model summary, your current thesis (why it wins/loses), time horizon, and risk constraints; a valuation/price range; and the latest financial statements (profit quality, cash flow, debt/liquidity). Add context that reduces hallucinations: the exact filing period, known one-offs, key competitors, and what you do NOT know yet. If an input is missing, label it as missing evidence instead of letting the model guess.
Validation and boundaries
How do I validate the output?
Validate falsifiable claims one by one. Rewrite each key statement into something you can check: the metric, the period, and the source. Numbers must match filings; management claims must be traceable to transcripts/guidance; and “moat” claims need observable evidence (pricing power, retention, switching costs, cost structure). Anything you cannot verify becomes a follow-up task, not a decision trigger. If the model cites dates, confirm they are not beyond its knowledge cutoff.
When should I NOT act on the output?
If you cannot write down invalidation triggers, a position-size cap, or primary-source evidence for the key claims behind “Honestidad Intelectual”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.
Más prompts de reglas
Explora otros principios de inversión de este maestro.
Paciencia
La paciencia es una virtud esencial para los inversores en valor. El mercado eventualmente reconocerá el valor, pero el momento es incierto.
→Análisis Bottom-Up
Somos inversores bottom-up. No hacemos predicciones macro - encontramos valores individuales que están mal valorados.
→Situaciones Complejas
Buscamos oportunidad en la complejidad - escisiones, reestructuraciones, quiebras. Donde otros ven caos, nosotros vemos valor potencial.
→Inversión Impulsada por Catalizadores
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→