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)

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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.

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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?"

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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.

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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

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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.

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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.

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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.