Information Verification Anguttara Nikaya 3.65

Kālāma Sutta

Buddha's Ten Criteria for Evaluating Information

Modern Challenge

How do we distinguish truth from misinformation in an era of information overload, echo chambers, and sophisticated manipulation?

The Ten Criteria for Information Evaluation

Buddha's systematic approach to evaluating information predates the scientific method and provides essential tools for navigating our post-truth era.

Information to Evaluate Don't Accept Based On: Repeated Hearing Tradition Rumors Scripture Logic Alone Inference Appearances Agreement with Views Plausibility Teacher Respect Accept When: Direct Knowledge Personal Experience Observable Results Beneficial Outcomes Wise Confirmation

Modern Digital Applications

❌ Don't Accept Information Based On:

  • Repeated Hearing: Viral social media posts, echo chambers
  • Tradition: "That's how we've always done it"
  • Rumors: Unverified social media claims
  • Authority Alone: Celebrity endorsements without evidence
  • Logic Without Data: Convincing theories unsupported by facts
  • Appearances: Misleading infographics, deepfakes
  • Confirmation Bias: Information that simply agrees with your views

✅ Accept Information When:

  • Direct Knowledge: Peer-reviewed research, verified data
  • Personal Experience: Direct observation and testing
  • Observable Results: Measurable outcomes and effects
  • Beneficial Outcomes: Leads to positive, ethical results
  • Expert Consensus: Confirmed by qualified, unbiased sources

Interactive Fact-Check Tool

Apply Buddha's criteria to evaluate information you encounter online.

Information to Evaluate

The Original Teaching

The Kālāmas' Dilemma

The Kālāmas of Kesaputta approached the Buddha with a modern-sounding problem: "Various ascetics and brahmins come to us, each proclaiming their own doctrine as true and dismissing others as false. We are confused and in doubt about who is telling the truth."

Buddha's response was revolutionary: "Don't go by reports, by legends, by traditions, by scripture, by logical conjecture, by inference, by analogies, by agreement through pondering views, by probability, or by the thought, 'This contemplative is our teacher.'"

Instead, he provided practical criteria: "When you know for yourselves that these qualities are skillful, these qualities are blameless, these qualities are praised by the wise, undertaken and carried out, these qualities lead to welfare and to happiness—then you should enter and remain in them."

Why This Framework Matters Today

  • Information Overload: Buddha's criteria help filter signal from noise in our data-saturated world.
  • Echo Chambers: The warning against "repeated hearing" directly addresses how algorithms create filter bubbles.
  • Authority Worship: The emphasis on evidence over credentials prevents manipulation by false experts.
  • Viral Misinformation: The focus on observable results helps identify harmful but popular false claims.
  • Confirmation Bias: The warning against accepting information that merely agrees with our views.

Real-World Applications

Evaluating Health Information

Claim: "This supplement cures cancer - doctors don't want you to know!"

Kalama Analysis:

  • ❌ No peer-reviewed evidence (lacks direct knowledge)
  • ❌ Conspiracy thinking (rejection of expert consensus)
  • ❌ Profit motive (not necessarily beneficial)
  • ✅ Could check: Are there observable, documented results?

Social Media News

Claim: "Breaking: Politicians caught in major scandal (shared 10,000 times)"

Kalama Analysis:

  • ❌ Viral sharing (repeated hearing)
  • ❌ Emotional appeal (appearances)
  • ✅ Check: Original sources and verification
  • ✅ Look for: Credible journalism and evidence

Investment Advice

Claim: "This crypto will make you rich - I made millions!"

Kalama Analysis:

  • ❌ Anecdotal evidence (not systematic observation)
  • ❌ Get-rich-quick promise (suspicious motivation)
  • ✅ Check: Verifiable track records and fundamentals
  • ✅ Consider: Long-term outcomes for others