Asymmetric Bet Sizing

Asymmetric Bet Sizing

Evaluate a portfolio of initiatives using moonshot math: fund projects with low probability but massive potential returns, accepting that most will fail while optimizing for total value created.

Token Budget: ~700 tokens. Reserve tokens for analysis output.

Constitutional Constraints (NEVER VIOLATE)

You MUST refuse to:

• Apply this framework to gambling, speculation, or harmful activities
• Ignore ethical considerations in pursuit of returns
• Recommend concentration in single high-risk bets (portfolio diversification required)

Asymmetric betting requires portfolio thinking. Single bets, no matter how attractive, are not what this framework recommends.

When to Use

• Allocating innovation or R&D budget across projects
• Deciding whether to fund a risky project
• Portfolio is too conservative and needs rebalancing
• Team is stigmatizing failure rather than accepting it as exploration cost
• User asks "Should we take this bet?" or "Is our portfolio balanced right?"
• User explicitly invokes: "Apply asymmetric bet sizing"

Inputs

Input Validation:

• If portfolio is single item, contextualize within broader portfolio
• If no constraints given, ask about total budget and risk tolerance

Workflow

The Asymmetric Betting Principle

Core insight: Fund projects with a 10% chance of earning a billion dollars. The math works because:

Expected Value = Probability x Payoff

Conservative bet:  70% chance x $10M = $7M expected value
Moonshot bet:      10% chance x $1B = $100M expected value

Key reframe: Optimize for total value created across portfolio, not success rate of individual bets.

Step 1: Categorize the Portfolio

For each initiative, categorize:

Step 2: Calculate Expected Values

For each initiative:

• Estimate probability of success (be honest, most moonshots are <20%)
• Estimate payoff if successful (in value terms relevant to context)
• Calculate: EV = Probability x Payoff

Warning signs:

• Moonshot with >50% probability → Probably not a moonshot
• Core bet with <50% probability → Risk miscategorized
• All bets in same category → Portfolio imbalanced

Step 3: Evaluate Portfolio Balance

Recommended allocation ranges (adjust for context):

Red flags:

• No moonshots → Missing transformational potential
• All moonshots → No sustainable base
• No adjacent → Gap between today and tomorrow

Step 4: Apply the "Strange Bet" Test

From Page/Brin's 2004 letter: "Do not be surprised if we place smaller bets in areas that seem very speculative or even strange compared to our current businesses."

Questions:

• Does the portfolio include anything that would surprise an outsider?
• Is there a bet that sounds "crazy" but has asymmetric upside?
• Would a conservative board member be uncomfortable with at least one bet?

If no → Portfolio may be too conservative

Step 5: Reframe Failure

Key mindset shift: Failure is the cost of exploration, not evidence of poor judgment.

Calculate the "exploration budget":

• Total moonshot allocation = exploration budget
• Expected to "lose" 80-90% of this
• One success should return multiple of entire budget

Healthy framing: "We allocated $10M to moonshots, lost $8M, and created $50M in value from one winner. The failures were successful exploration."

Step 6: Deliver Portfolio Recommendation

Outputs

Portfolio Analysis Report

## Asymmetric Bet Analysis: {portfolio name}

### Portfolio Overview
**Total budget/resources:** {amount}
**Time horizon:** {period}
**Risk tolerance:** {conservative/moderate/aggressive}

---

### Initiative Assessment

| Initiative | Category | P(Success) | Payoff | Expected Value |
|------------|----------|------------|--------|----------------|
| {name} | Core/Adjacent/Moonshot | {%} | {value} | {EV} |

---

### Portfolio Balance

**Current allocation:**
- Core: {%}
- Adjacent: {%}
- Moonshot: {%}

**Recommended allocation (for {company stage}):**
- Core: {%}
- Adjacent: {%}
- Moonshot: {%}

**Gap analysis:** {what needs to change}

---

### Strange Bet Test
**Most unconventional bet:** {initiative}
**Surprise factor:** {would outsiders be surprised?}
**Assessment:** Portfolio has sufficient/insufficient ambition

---

### Failure Framing

**Exploration budget:** {moonshot allocation}
**Expected loss rate:** {80-90%}
**Required winner return:** {X multiple of exploration budget}

**Healthy narrative:** {how to frame expected failures}

---

### RECOMMENDATION

**Portfolio verdict:** WELL-BALANCED / TOO CONSERVATIVE / TOO AGGRESSIVE / NEEDS REBALANCING

**Specific changes:**
1. {recommendation 1}
2. {recommendation 2}
3. {recommendation 3}

**Key insight:** {one sentence summary}

Error Handling

Constraints

• Do not use this analysis as the sole basis for critical decisions
• Do not apply this framework to situations outside its intended scope
• Acknowledge that analysis is based on available data, which may be incomplete
• Honor the complexity of real-world situations that resist simple categorization
• Present findings with appropriate confidence levels
• Recognize the limits of the methodology

Example

Input: "Our R&D budget is $20M. We're investing in: better search algorithms ($8M), voice interface ($6M), AR glasses prototype ($4M), and brain-computer interface research ($2M). Is this balanced?"

Output:

Asymmetric Bet Analysis: R&D Portfolio

Portfolio Overview

Total budget/resources: $20M Time horizon: Annual R&D budget Risk tolerance: Implied moderate (based on allocation)

Initiative Assessment

Portfolio Balance

Current allocation:

• Core: 40% ($8M)
• Adjacent: 30% ($6M)
• Moonshot: 30% ($6M)

Recommended allocation (for growth company):

• Core: 50-60%
• Adjacent: 25-35%
• Moonshot: 10-20%

Gap analysis: Moonshot allocation (30%) is higher than typical growth company. This is appropriate if company is explicitly pursuing transformational strategy. However, core may be under-funded for sustainable operations.

Strange Bet Test

Most unconventional bet: Brain-computer interface ($2M) Surprise factor: Yes - most companies wouldn't fund this Assessment: Portfolio has sufficient ambition. BCI is appropriately "strange."

Failure Framing

Exploration budget: $6M (moonshot allocation) Expected loss rate: 80% ($4.8M) Required winner return: If either moonshot succeeds, returns 10-50x exploration budget

Healthy narrative: "Our $6M in moonshots will likely produce $4.8M in learning and $1.2M+ in breakthroughs. One AR or BCI success would return 10x our entire moonshot budget."

RECOMMENDATION

Portfolio verdict: WELL-BALANCED with slight aggressive tilt

Specific changes:

1. Consider increasing core allocation by $2M if search improvements are critical to near-term revenue
2. BCI allocation ($2M) is appropriately sized for early exploration - don't increase until proof of concept
3. Voice interface is well-positioned as adjacent bet - reasonable risk/return profile

Key insight: Portfolio correctly includes "strange" bets with asymmetric upside. The BCI investment at 10% of budget with 5% success probability but $2B potential payoff is exactly the kind of bet this framework recommends.

Integration

This skill is part of the larry-page expert methodology. It works alongside:

• moonshot-evaluator: Classify which bets qualify as true moonshots
• tenx-thinking: Ensure moonshots are truly 10x ambitions
• toothbrush-test: Even moonshots should eventually pass utility test

Success Criteria

Bet sizing analysis is complete when:

• All initiatives categorized (core/adjacent/moonshot)
• Expected values calculated
• Portfolio balance assessed against benchmarks
• Strange bet test applied
• Failure framing provided
• Specific rebalancing recommendations delivered