{
  "format_version": 3,
  "claim_formal": {
    "subject": "Founder pedigree from elite universities as a predictor of venture success",
    "property": "Whether founder pedigree has higher predictive validity than market size or product traction",
    "operator": ">",
    "operator_note": "'Superior predictor' is operationalized as having higher predictive validity \u2014 stronger correlation with or causal contribution to successful venture outcomes (e.g., exit value, unicorn status, fund returns) \u2014 compared to BOTH market size AND product traction as competing predictors. The claim requires pedigree to outperform both alternatives, not just one. 'Elite universities' commonly refers to Ivy League, MIT, Stanford, and equivalent. 'Product traction' means demonstrable customer adoption, revenue, or usage growth. For the claim to be PROVED, empirical research would need to show that pedigree independently predicts success better than market size and traction across multiple studies. For UNDETERMINED: research is insufficient or contradictory. For DISPROVED: research consistently shows traction/market size outperforms pedigree.",
    "threshold": 3,
    "compound_operator": "N/A"
  },
  "claim_natural": "The superior predictor of venture success is founder pedigree from elite universities rather than market size or product traction.",
  "evidence": {
    "B1": {
      "type": "empirical",
      "label": "arXiv/YC study \u2014 credentials explain <4% of funding variation (not confirmed as primary source; summarized from research search)",
      "sub_claim": null,
      "source": {
        "name": "",
        "url": "",
        "quote": ""
      },
      "verification": {
        "status": "",
        "method": "",
        "coverage_pct": null,
        "fetch_mode": "live",
        "credibility": {}
      },
      "extraction": {
        "value": "",
        "value_in_quote": false,
        "quote_snippet": null
      }
    },
    "B2": {
      "type": "empirical",
      "label": "Beta Boom \u2014 pedigree predicts VC access, not unicorn outcomes (adversarial)",
      "sub_claim": null,
      "source": {
        "name": "",
        "url": "",
        "quote": ""
      },
      "verification": {
        "status": "",
        "method": "",
        "coverage_pct": null,
        "fetch_mode": "live",
        "credibility": {}
      },
      "extraction": {
        "value": "",
        "value_in_quote": false,
        "quote_snippet": null
      }
    },
    "B3": {
      "type": "empirical",
      "label": "CB Insights \u2014 product-market fit failure is #1 startup cause (adversarial)",
      "sub_claim": null,
      "source": {
        "name": "",
        "url": "",
        "quote": ""
      },
      "verification": {
        "status": "",
        "method": "",
        "coverage_pct": null,
        "fetch_mode": "live",
        "credibility": {}
      },
      "extraction": {
        "value": "",
        "value_in_quote": false,
        "quote_snippet": null
      }
    },
    "B4": {
      "type": "empirical",
      "label": "Gompers et al. (2010) \u2014 management team ranked #1 by VCs but pedigree not isolated",
      "sub_claim": null,
      "source": {
        "name": "",
        "url": "",
        "quote": ""
      },
      "verification": {
        "status": "",
        "method": "",
        "coverage_pct": null,
        "fetch_mode": "live",
        "credibility": {}
      },
      "extraction": {
        "value": "",
        "value_in_quote": false,
        "quote_snippet": null
      }
    }
  },
  "cross_checks": [],
  "adversarial_checks": [
    {
      "description": "arXiv/YC study: credentials explain <4% of startup funding variation",
      "verification_performed": "Searched for quantitative studies on educational credentials vs startup outcomes. Found: arXiv preprint using Y Combinator portfolio data found educational credentials statistically insignificant and explaining less than 4% of funding variation after controlling for other founder and company characteristics. This directly contradicts the 'superior predictor' claim.",
      "breaks_proof": true
    },
    {
      "description": "Beta Boom: pedigree over-predicts funding relative to unicorn outcomes",
      "verification_performed": "Beta Boom analysis found top-10 university alumni receive 51% of VC investment but produce only 35% of unicorns \u2014 suggesting pedigree is a stronger predictor of VC access (signaling/network bias) than of actual startup success. This indicates pedigree measures investor bias, not founder quality.",
      "breaks_proof": true
    },
    {
      "description": "CB Insights: product-market fit failure is the #1 startup killer",
      "verification_performed": "CB Insights 'Top Reasons Startups Fail' analysis (repeatedly updated with hundreds of startup post-mortems) consistently finds 'no market need' (35-42%) and 'ran out of cash/no product-market fit' as the dominant failure causes. These are direct measures of market size and traction \u2014 not founder pedigree. If pedigree were the superior predictor, its absence would be the top failure cause.",
      "breaks_proof": true
    },
    {
      "description": "Gompers et al.: VCs rank management team highest, but pedigree is not isolated",
      "verification_performed": "Gompers, Kovner, Lerner, Scharfstein (2010, Harvard) surveyed VC criteria: management team ranked most important (95%), market at 68%, product at 74%. However, 'management team' in this context means execution capability and domain expertise, not university pedigree specifically. The paper does not isolate elite university attendance as a predictor vs market size or traction.",
      "breaks_proof": true
    },
    {
      "description": "First Round Capital retrospective: Ivy/MIT/Stanford 220% outperformance",
      "verification_performed": "First Round Capital (2015) analyzed their own portfolio and found Ivy/MIT/Stanford founders showed 220% outperformance. However: (1) this is within a VC firm's own curated portfolio, creating selection bias and conflict of interest; (2) the analysis does not compare pedigree against traction or market size as competing predictors; (3) one VC firm's portfolio is not a population-level study. This source does not satisfy the 'superior to both market size and traction' bar.",
      "breaks_proof": false
    }
  ],
  "verdict": {
    "value": "UNDETERMINED",
    "qualified": false,
    "qualifier": null,
    "reason": null
  },
  "key_results": {
    "n_confirming": 0,
    "threshold": 3,
    "any_breaks": true,
    "claim_holds": false
  },
  "generator": {
    "name": "proof-engine",
    "version": "1.11.0",
    "repo": "https://github.com/yaniv-golan/proof-engine",
    "generated_at": "2026-04-08"
  },
  "verdict_reason": "Research does not support founder pedigree as the 'superior' predictor compared to both market size and product traction. Multiple studies find pedigree explains little variance in outcomes, that it predicts VC access more than actual success, and that product-market fit (traction) and market size are the dominant factors in startup failure. No controlled study showing pedigree > traction + market size was found. The claim is UNDETERMINED due to absence of confirming evidence and presence of contradictory evidence.",
  "proof_py_url": "/proofs/the-superior-predictor-of-venture-success-is-founder-pedigree-from-elite/proof.py",
  "citation": {
    "doi": null,
    "concept_doi": null,
    "url": "https://proofengine.info/proofs/the-superior-predictor-of-venture-success-is-founder-pedigree-from-elite/",
    "author": "Proof Engine",
    "cite_bib_url": "/proofs/the-superior-predictor-of-venture-success-is-founder-pedigree-from-elite/cite.bib",
    "cite_ris_url": "/proofs/the-superior-predictor-of-venture-success-is-founder-pedigree-from-elite/cite.ris"
  },
  "depends_on": []
}