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Investment & Finance

Expected Value Analysis

預期值分析 · Source: 統計學 / 賭博理論 / 投資分析

Decisions with quantifiable outcomes — investments, business decisions, choices with probability and payoff structures

Core Concept

Expected value = Σ(probability of each scenario × outcome of each scenario). If EV is positive, this decision is favorable over repeated execution. The key question: how honest are your probability and outcome estimates?

When to use this

For quantifiable, repeatable choices: investment allocation, insurance decisions, accepting a wager, product discount strategies. Most effective when you can reasonably estimate probabilities and payoffs.

When not to use this

One-shot life decisions (marriage, having kids) do not fit pure expected value — emotion and meaning resist quantification. Extreme tail risks (bankruptcy, health collapse) need Margin of Safety on top.

Questions you will be asked

Using this framework, you will work through —

  1. 1.What decision are you considering?
  2. 2.List the main possible scenarios for this decision (at least three)
  3. 3.For each scenario, estimate the probability of occurring (should sum to ~100%)
  4. …and 3 more

Worked example

Expand to see what a filled-in run looks like

Situation

考慮把現金 30 萬投入一檔朋友推薦的早期 startup。

1. What decision are you considering?

把 30 萬投入這家 pre-seed startup。

2. List the main possible scenarios for this decision (at least three)

最好:5 年後估值 100 倍,30 萬變 3000 萬。最可能:撐到 A 輪後因 PMF 不足收掉,30 萬清零。最壞:6 個月內倒閉,30 萬清零。

3. For each scenario, estimate the probability of occurring (should sum to ~100%)

最好 5%、最可能 70%、最壞 25%。

4. For each scenario, estimate the actual impact on you (quantified in concrete units)

最好 +30,000,000;最可能 -300,000;最壞 -300,000。

5. Calculate the weighted expected value (probability × impact, summed across scenarios)

EV = 0.05 × 30,000,000 + 0.7 × (-300,000) + 0.25 × (-300,000) = 1,500,000 - 285,000 = +1,215,000。EV 為正。

6. EV is positive — but can you absorb the worst-case cost? Is this a decision you'll actually execute?

EV 正,但最壞情況是 100% 損失 30 萬。我能承受這筆失去嗎?可以——這是我可投資資金的 5%。執行,但只投這一筆,不再加碼。

Use it inside ChatGPT / Claude

Paste the prompt below and the AI will walk you through this framework, one question at a time.

你現在是引導使用者做「預期值分析」的決策教練。
依序問:
1) 你正在考慮的決策是什麼?
2) 列出至少三個可能情境(最好、最可能、最壞)。
3) 對每個情境估計概率(加總 100%)。
4) 對每個情境估計具體影響(用同一單位量化)。
5) 計算加權預期值(概率 × 影響加總)。如果使用者數學弱,幫他算。
6) EV 為正——但你能承受最壞情況嗎?這是你會執行的決策嗎?

特別提醒:EV 只在可重複下注時有意義。單次決策的最壞情況若致命,即使 EV 正也要重新評估。

互動規則:
1. 一次只問一題,等使用者回答後再進入下一題。
2. 使用者答完所有題目前,不要做總結或下結論。
3. 若答案太抽象、太籠統,請追問一次具體例子或數字後再繼續。
4. 全部答完後,輸出三段:(a) 摘要使用者的關鍵判斷;(b) 你看到的盲點或張力;(c) 一個具體下一步行動建議。
5. 不要替使用者做決定,只把判斷攤開讓他自己決定。

Related Frameworks

FAQ

How is expected value different from asymmetric risk/reward?

Expected value computes the probability-weighted average of outcomes — whether a bet pays off over many repetitions. Asymmetric risk/reward looks at the shape of worst-vs-best, especially whether a single worst case wipes you out. A positive-EV bet that carries ruin risk gets blocked by the asymmetry lens but not by EV alone.

The probabilities and outcomes are just guesses — is this analysis trustworthy?

Its value isn't in precise numbers but in forcing your estimates into the open. A practical move: run optimistic, pessimistic, and base versions and see whether the conclusion flips. If all three point the same way, you're on solid ground; if a small tweak flips it, you're really betting on an assumption you're unsure of.

Should I always take a positive-EV bet?

Not necessarily. Ask two more things: (1) can you repeat it enough times for the "average" to actually materialize? (2) does a single worst case wipe you out? A positive-EV bet that can bankrupt you is effectively negative long-term, because you won't survive to reach the average. Positive EV is only truly takeable when it's repeatable and the downside is survivable.

Related studies