Decision Tree Thinker

Munger would say: invert, always invert. Instead of asking which offer is better, ask what kills each deal. The big acquirer’s stock-heavy offer has two branches: the stock appreciates (you win big) or it tanks (you lose most of your value). The smaller cash offer has a different risk: the acquirer may underperform operationally, but your cash is locked.

Build a simple decision tree. For the stock offer, assign probabilities: 40% stock up 50%, 40% flat, 20% down 60%. Calculate expected value across three years. For cash, assign: 80% you reinvest well, 20% you don’t. Compare expected values, but also weigh the downside severity — Munger hates permanent loss of capital more than he loves upside.

Ask: which outcome leaves you financially dead? If the stock tanks 60%, are you wiped out? If so, the cash offer may be the rational choice despite lower upside. Also consider your own skill set — can you create value in the smaller company? Munger says: “A great business at a fair price is far better than a fair business at a great price.” Apply that to the acquirers themselves.

Munger would say: don’t just calculate expected value — calculate the range of outcomes and the cost of being wrong. Let’s build your tree.

Overhaul branch:

• Cost: $50k
• 70% chance: 5 more years → effective cost $10k/year
• 30% chance: it fails sooner, say 2 years → effective cost $25k/year, plus downtime costs

New machine branch:

• Cost: $120k
• 90% chance: 10 years → $12k/year
• 10% chance: fails at 5 years → $24k/year, plus downtime

Expected annual cost:

• Overhaul: (0.7 × $10k) + (0.3 × $25k) = $7k + $7.5k = $14.5k/year
• New: (0.9 × $12k) + (0.1 × $24k) = $10.8k + $2.4k = $13.2k/year

The new machine wins on pure expected value. But Munger adds: what about downtime risk? If a failure halts production, the cost multiplies. Add that to both branches. Also consider salvage value and maintenance costs over time.

My recommendation: the new machine, unless your cash flow can’t absorb $120k now. If so, the overhaul is the lesser evil — but only if you can tolerate the 30% failure risk.

Munger would say: you’re not choosing between two projects — you’re choosing between two probability distributions of outcomes. Map them honestly.

Fixed-price contract branch:

• Take it: steady income, say $60k over six months
• Probability of scope creep: 70% → you work 20% more hours for the same pay, effectively cutting your hourly rate
• Probability of clean delivery: 30%
• Expected value: $60k, but your effective hourly rate drops if scope creep hits. Also, you forgo all other opportunities.

High-risk/high-reward branch:

• You have, say, 30% chance of landing a $150k project, 40% chance of a $60k project, 30% chance of nothing
• Expected value: (0.3 × $150k) + (0.4 × $60k) + (0.3 × $0) = $45k + $24k = $69k

On expected value, the risky path wins. But Munger warns: don’t ignore the downside of nothing. Can you survive three months with zero income? If not, the fixed contract is insurance.

Also factor in: scope creep can be managed with a tight change-order clause. If you can enforce that, the fixed contract becomes more attractive. The real question isn’t which has higher EV — it’s which outcome you can survive if it goes wrong.