Algorithms for Life: How to Delegate — Sources

Sources for Algorithms for Life: Ep. 3, How to Delegate

Research Tools Used

  • Perplexity (Academic & Official - automated) → Evidence
  • GPT-Researcher (Industry & Technical - automated) → Evidence + Case Studies
  • Gemini Deep Research (Strategic & Policy - automated) → Evidence + Policy
  • Claude (Comprehensive Synthesis - manual) → Evidence synthesis
  • Grok (X/Twitter Discourse - manual) → Opinion/Sentiment ONLY

Evidence Sources (For factual claims)

Tier 1: Meta-analyses, Systematic Reviews, Official Statistics

  1. De Meuse et al. — Learning Agility Meta-Analysis
  2. Key finding: ρ = 0.74 with leader performance, ρ = 0.75 with leadership potential

  3. 20 field studies; r = 0.09 with general intelligence (60,000+ participants)

  4. Kim, Beehr & Prewett (2018) — Empowering Leadership Meta-Analysis

  5. Key finding: ρ = .59 for attitudes toward leader, ρ = .31 for performance

  6. 55 samples

  7. Lee et al. (2018) — Empowering Leadership Meta-Analysis

  8. Key finding: Incremental validity over transformational leadership

  9. 105 samples, Journal of Organizational Behavior

  10. Wang, Waldman & Zhang (2014) — Shared Leadership Meta-Analysis

  11. Key finding: ρ = .34 with team effectiveness, stronger for complex work

  12. Zaandam (2021) — Founder-CEO Performance Meta-Analysis

  13. Key finding: Founder advantages real but institutionally contingent

  14. 117 studies across 22 countries

  15. Seibert, Wang & Courtright (2011) — Empowerment Meta-Analysis

  16. Key finding: ρ ≈ .31 for empowerment–performance, Journal of Applied Psychology

  17. Antonakis, Bendahan, Jacquart & Lalive (2010/2014) — Leadership Endogeneity Review

  18. Key finding: 66-90% of leadership studies fail causal standards

  19. Oxford Handbook of Leadership

  20. Systematic Literature Review of SLII (2025)

  21. Key finding: "Fundamental paradox: widely used but lacks strong empirical support"

Tier 2: RCTs, Large Studies, Government Reports

  1. Fahlenbrach (2009) — Founder-CEO Study

  2. N=2,327 U.S. public firms; 4.4% annual abnormal stock returns

  3. Villalonga & Amit (2006) — Family Firm Study

  4. 0.40 higher Tobin's Q for founder-CEO firms; Journal of Financial Economics

  5. Leadership IQ — New Hire Failure Study

  6. N=20,000+ across 312 organizations; 46% fail in 18 months; 89% attitudinal

  7. Logan & Ganster (2007) — Empowerment Field RCT

  8. N=68 trucking managers; works only with supervisor support; Journal of Management Studies

  9. Gjedrem & Rege (2017) — Autonomy Reduction Experiment

  10. Norwegian electronics retail; reducing autonomy increased sales 5.6%

  11. Thompson & Vecchio (2009) — SLII Field Test

  12. N=357 banking employees; revised SLII performed worse than original

  13. Robert, Probst, Martocchio, Drasgow & Lawler (2000) — Cross-Cultural Empowerment

  14. Empowerment negatively associated with satisfaction in India

  15. Eylon & Au (1999) — Power Distance Experiment

  16. High power-distance cultures performed better when disempowered

  17. Bloom et al. (2013) — Management Practices RCT

  18. Indian textile factories; management bundle worked but delegation not isolable

  19. Henrich, Heine & Norenzayan (2010) — WEIRD Sampling Bias

    • 12% of population, 96% of samples

  20. Wasserman (2008/2012) — Founder's Dilemma

    • 50% replaced by year 3; Rich vs. King tradeoff; HBR and book

  21. Rattini (2023) — Autonomy and Cognitive Ability

    • High-ability benefit from autonomy; low-ability perform better with constraints

  22. Blunden & Steffel (2024) — Delegated Decisions as Burden

    • Behavioral experiments showing delegation can feel burdensome to recipients

  23. Deen et al. (2025) — First Validated Micromanagement Scale

    • Journal of Management; 79% experienced micromanagement

Tier 3: Case Studies, Industry Reports, News

  1. McKinsey (2025) — AI Adoption Global Survey

  2. 88% using AI in ≥1 function; high performers 3x more likely to redesign workflows

  3. Gartner — AI Project Forecasts

  4. ≥30% GenAI projects abandoned; >40% agentic AI canceled by 2027

  5. MIT (2025) — Enterprise AI Pilot Study

  6. 95% of custom AI pilots fail measurable value

  7. Schleckser (2016) — Great CEOs Are Lazy

  8. Origin of 70% rule; practitioner book

  9. Graham (2024) — "Founder Mode" Essay

  10. September 2024; crystallized practitioner frustration

  11. Airbnb Case Study — Chesky's Founder Mode Rebuild

  12. Q3 2025: $4.1B revenue, 50% EBITDA margin; 430 product upgrades in ~2 years

  13. Rosenzweig (2007) — The Halo Effect

  14. Retroactive attribution of practices to high-performing firms

  15. Collins (2001) — Good to Great Post-Publication Tracking

  16. 6/11 underperformed S&P 500 by 2012; Circuit City bankrupt

  17. McKinsey (2022) — RACI Pitfalls Analysis

  18. 4 major pitfalls identified; DARE alternative proposed (also unvalidated)

Opinion/Discourse Sources (For "what people think" context)

⚠️ These are NOT evidence — Use only for podcast segments contrasting belief vs. research

Expert Opinion (credentialed but not peer-reviewed)

  • Brian Chesky — Airbnb CEO, Founder Mode implementation
  • Paul Graham — Y Combinator, "Founder Mode" essay (Sept 2024)
  • Jim Schleckser — Inc CEO Project, 70% Rule

Public Discourse (X/Twitter, forums)

  • Founder Mode debate on X/Twitter (Sept-Dec 2024): strong polarization between founders and professional managers
  • AI delegation discourse: optimism about cost savings tempered by reports of failures

Notes

  • Research compiled: 2026-02-09
  • Sources cross-validated across Perplexity, Claude, and Grok
  • ChatGPT (GPT-Researcher) and Gemini research pending
  • Conflicting sources noted in research/p3-briefing.md
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