--- name: investing-from-darwin description: "Applies Darwinian evolutionary principles to long-term stock investing: reject dangerous businesses (Type I errors), screen by historical ROCE, assess multi-level robustness, read honest vs. dishonest signals, and hold quality companies with extreme patience. Trigger: 'evaluate this stock Darwin-style', 'should I buy or avoid this company', 'assess business quality', 'is this a good long-term investment', 'analyze company robustness'." license: "Skill distillation for personal/educational use. Do not reproduce source passages verbatim." --- # Investing From Darwin A framework for permanent ownership of high-quality businesses, derived from Pulak Prasad's *What I Learned About Investing from Darwin* (2023). Nalanda Capital's investment philosophy — managing $5B+ in Indian equities with 20%+ annualized returns — distilled into five evolutionary lenses. ## Core Philosophy > "We want to be permanent owners of high-quality businesses." Three pillars, mirroring Darwinian survival strategy: 1. **Avoid Big Risks** — be a great rejector (Section I) 2. **Buy High Quality at a Fair Price** — use ROCE + robustness + honest signals (Section II) 3. **Don't Be Lazy — Be Very Lazy** — buy rarely, hold forever (Section III) --- ## Dimension 1: Avoid Big Risks (The Great Rejector) **Evolutionary parallel:** Animals minimize Type I errors (errors of commission) at the cost of Type II errors (errors of omission). Deer flee when uncertain. Cheetahs skip prey they can't safely kill. **Agent instruction:** When asked to evaluate whether to invest in or avoid a company, first apply the rejection checklist. Flag any of these as automatic disqualifiers. The goal is to identify what NOT to own before asking what to own. ### Automatic Rejection Criteria - **Governance problems:** History of fraud, related-party abuse, misleading disclosures, or controlling shareholders with a reputation for cheating minority investors - **Turnaround stories:** Businesses described as "being fixed" or "recovering" — a bad business with a brilliant manager remains a bad business - **High leverage:** Debt-to-equity above 0.5–1.0x (industry-dependent); any business where interest consumes significant operating profit - **Fast-changing industry:** Technology shifts, regulatory disruption, or platform risk that could make the business obsolete within a decade - **Acquisition-hungry management:** Serial acquirers, especially large transformative deals funded with debt - **Concentrated customer/supplier base:** Top 3 customers >50% of revenue = pricing power held by counterparty - **Complex, opaque businesses:** Conglomerates, financial companies with hidden leverage, businesses requiring trust in management forecasts **Key insight:** Reducing Type I errors (bad investments) by 10 percentage points improves portfolio performance by ~16 pp. Reducing Type II errors by the same amount improves performance by only ~3 pp. **Rejection skill is worth 5x discovery skill.** --- ## Dimension 2: ROCE as the Single Filter **Evolutionary parallel:** Dmitri Belyaev's Siberian fox experiment — select for one trait (tameness), get correlated beneficial traits for free. High historical ROCE is the single trait that cascades into all signs of business quality. **Agent instruction:** Use historical ROCE (Return on Capital Employed) as the primary screen. ROCE = EBIT ÷ Capital Employed. Look for 10+ years of data. Target threshold: consistently ≥20% ROCE. Reject businesses where ROCE is below cost of capital (<10–12%) or highly volatile. ### Why ROCE, Not Other Metrics | Metric | Problem | |--------|---------| | Great management | Unmeasurable; interview performance is a dishonest signal | | Revenue growth | Hides poor unit economics (dot-com era, leveraged growth) | | Net margin | Misses capital efficiency (Costco 3% margin beats Tiffany 19% on ROCE) | | ROE | Distorted by leverage and tax optimization; hides operating weakness | | DCF | Requires future assumptions that no one can reliably make | **ROCE cascade:** A business sustaining high ROCE over a decade almost certainly has: strong competitive advantage, pricing power over customers, bargaining power over suppliers, disciplined management, and durable economics. ### Historical vs. Projected - Use **historical** financials only — 10-year minimum; 15–20 years preferred - Never rely on analyst projections or management guidance for buy decisions - Ask: "Has this business delivered high ROCE?" not "Will it?" --- ## Dimension 3: Robustness Assessment **Evolutionary parallel:** Organic life survives not by being strong but by being robust at multiple levels. Neutral mutations allow evolution without disrupting current functioning. **Agent instruction:** After ROCE screening, assess multi-level robustness. A robust business can withstand shocks and evolve through "neutral strategies" (experiments that don't threaten the core). ### Robustness Checklist | Dimension | Fragile | Robust | |-----------|---------|--------| | ROCE trend | Declining or volatile | Stable or rising ≥20% | | Leverage | Debt/equity >1× | Zero or minimal debt | | Customer concentration | Top 3 >50% revenue | Fragmented customer base | | Supplier concentration | Dependent on 1–2 key suppliers | Fragmented supplier base | | Industry pace | Fast-changing (tech, media) | Slow-changing (consumer staples, industrials) | | Management stability | Frequent CEO changes | Long-tenured, founder-mentality team | | Competitive position | Losing market share | Gaining or stable market share | **Neutral strategy test:** When a business considers expansion (new product, new geography, acquisition), ask: "If this fails, does it threaten the core?" If yes → risky, avoid. If no → neutral strategy, acceptable calculated risk. --- ## Dimension 4: Honest vs. Dishonest Signals **Evolutionary parallel:** Zahavi's handicap principle — signals that are costly to fake are honest (guppy coloration, peacock tail). Signals that are cheap to produce are dishonest (fiddler crab's regenerated claw). **Agent instruction:** When evaluating information about a company, classify signals as honest or dishonest. Weight honest signals heavily; ignore or discount dishonest ones. ### Dishonest Signals (Ignore or Discount) - Press releases and investor relations communications - Management meeting impressions ("they talk so well!") - Analyst target prices and consensus ratings - Single-quarter earnings beats/misses - Awards, ESG ratings, and CEO charisma - Guidance and forward projections of any kind ### Honest Signals (Trust and Study) - **Long-term ROCE trend** (10+ years): Costly to sustain without genuine competitive advantage - **Market share trend**: Consistently gaining share = genuine differentiation - **Free cash flow generation**: Actual cash; impossible to fake over a decade - **Balance sheet quality**: Zero debt reveals management conservatism - **Dividend history**: Sustained or growing dividends over 10+ years - **Customer retention**: High switching costs are revealed by repeat behavior --- ## Dimension 5: Extreme Patience (GKPI — Good Karma, Patience, Inertia) **Evolutionary parallel:** Punctuated equilibrium (Gould & Eldredge) — species remain in stable stasis for millions of years, punctuated by brief rapid change. Investment windows are punctuation events. **Agent instruction:** Apply GKPI when deciding whether to buy, hold, or sell. Default to inaction. Buy only during punctuation events (price dislocation). Sell only for fundamental deterioration — never for valuation reasons. ### When to Buy - A high-ROCE, robust business becomes temporarily mispriced - Punctuation event: market panic, sector rotation, short-term earnings miss, macro fear - These windows are rare (1–2% of holding period) - **When the window opens: buy a lot, not a little** ### When to Sell (Only Three Triggers) 1. **Governance deterioration**: Evidence of fraud or minority shareholder abuse 2. **Egregious capital misallocation**: Large debt-funded acquisitions in unrelated industries 3. **Irreparable business damage**: Sustained market share loss (3+ years), ROCE collapse **Never sell on valuation alone.** Maximum loss is capped at investment amount; maximum gain is unlimited. Asymmetry favors holding quality. --- ## Query Response Framework ### For "Should I invest in [Company X]?" 1. **Rejection screen** (Dim 1): Does it fail any automatic rejection criterion? → If yes, stop. 2. **ROCE filter** (Dim 2): 10-year ROCE history. Consistently ≥20%? → If no, stop. 3. **Robustness audit** (Dim 3): Score all 7 robustness dimensions. Majority robust? 4. **Signal audit** (Dim 4): List 3 honest and 3 dishonest signals present. 5. **GKPI context** (Dim 5): Is this a punctuation event (rare price dislocation)? 6. **Verdict**: Present as Avoid / Monitor / Buy on Dip / Buy Now, with primary reasoning. ### For "Should I sell [Company X]?" 1. Apply the three sell triggers only. Does any apply? → If none, default to hold. 2. Distinguish: Is the concern a dishonest signal (noise) or an honest signal (trend)? 3. Remind: Asymmetry favors holding — maximum loss is capped, maximum gain is not. ### For "Is this a good business / industry?" - Translate to historical ROCE: Does the 10-year track record confirm the moat claim? - Apply market share trend as corroborating evidence. - Assess industry pace: slow-changing = investable; fast-changing = avoid. --- ## Output Format For investment evaluations, structure responses as: **[Company Name] — Darwin Investment Assessment** **Rejection Screen:** Pass / Fail (list any triggers) **ROCE Filter:** [X]% median 10-yr ROCE — Pass / Conditional / Fail **Robustness Score:** [X/7 dimensions robust] — key strengths and vulnerabilities **Signal Analysis:** Honest signals pointing to [quality/risk]; dishonest signals to ignore **GKPI Verdict:** [Avoid / Monitor / Buy on Dip / Buy Now] — [1-sentence rationale] Keep the tone direct. Acknowledge uncertainty. Never provide a price target or DCF.