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Common mistake lookup

Search quantitative research mistakes

Use this lookup to map recurring research, data, and risk-review mistakes to concrete diagnostics. Treat each result as a starting point for improving assumptions, evidence quality, and review discipline.

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1 matching entry

Review methods →
ResearchSetup

Hypothesis is written after seeing results

Typical symptoms

  • The research note reads like the result was known in advance
  • Rejection criteria are missing
  • Several metrics are cited but no primary metric is named

Likely causes

  • Exploration and confirmation were mixed
  • No pre-analysis note existed
  • The team optimized the story after seeing outcomes

Checks

  • Find the timestamped hypothesis note
  • Identify the primary metric
  • Ask what result would have rejected the idea

Resolution path

  • Create a method brief before the next test
  • Separate exploratory observations from confirmatory tests
  • Label retrofitted conclusions as exploratory only

Related terms: hypothesis, p-hacking, pre-analysis, confirmation bias

Educational boundary

This lookup is for research troubleshooting and reproducibility. It is not financial, investment, trading, tax, or legal advice. Prefer conservative assumptions and independent review when evaluating any analytical result.

InQuantWeTrust publishes educational content for quantitative research and analytical methods. It does not provide personalized advice, trade recommendations, managed services, or guaranteed outcomes.