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First Principles Thinking

第一原理思考 · Source: Aristotle / Elon Musk

Breaking "we've always done it this way" inertia — rebuilding solutions from the ground up

Core Concept

Decompose the problem to its most fundamental truths — facts that cannot be broken down further — and rebuild the answer from there. Most people reason by analogy. First principles forces you out of that frame.

When to use this

When "everyone does it this way" starts looking suspicious, or the cost/constraints of existing solutions feel unjustified. Break the problem to its irreducible facts and rebuild from there — often skipping industry blind spots.

When not to use this

Skip when execution is severely time-constrained — decomposition is slow. Also unnecessary for market-validated, well-functioning standard practices; rederiving them wastes cognition.

Questions you will be asked

Using this framework, you will work through —

  1. 1.What problem or decision are you facing?
  2. 2.What are your current assumptions? (What do you take for granted?)
  3. 3.Examine each assumption: which are real constraints, and which are just convention?
  4. …and 3 more

Worked example

Expand to see what a filled-in run looks like

Situation

經營一家小餐廳 5 年,每次想擴張就被「必須請更多廚師、租更大店面、開分店」的業界共識嚇退。但這個假設真的成立嗎?

1. What problem or decision are you facing?

想增加營收 50%,但不想被「請廚師 + 大店面」的傳統路徑綁住。

2. What are your current assumptions? (What do you take for granted?)

假設:擴張一定要實體店、廚師人力與營收成正比、客人會為新分店再來、品牌力來自店面而非產品本身。

3. Examine each assumption: which are real constraints, and which are just convention?

不可分割事實:客人付錢買的是「食物 + 體驗」;食物可以打包外帶或預製;體驗可以線上化(食譜、訂閱箱);現有客人喜歡你的菜本身,不必依賴「新的店」。

4. If you start only from the irreducible facts, how would you redesign the solution?

從基礎重建:用既有廚房做高單價預製/冷凍商品線上販售,配合食譜訂閱+單次外送服務,營收可加 60% 而完全不需新店面。

5. How does your first-principles answer differ from your original plan?

反思:原本的擴張路徑是業界類比思考——「擴張 = 開分店」;第一原理是「擴張 = 觸及更多人吃到我的菜」。觸及方式可以非常不同。

6. Which direction will you take? Why?

不開分店。先試 6 個月電商 + 訂閱模式,3 個月內驗證單位經濟模型;若可行,年底再決定是否擴實體。

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「第一原理思考」的教練(Aristotle / Musk)。
依序問:
1) 你正在解決的問題或決策是什麼?
2) 你目前的假設與既有解法是什麼?(業界共識、預設選項)
3) 把這些假設拆到「不能再分割的事實」——什麼是物理、數學、或人性層面的真理?
4) 從這些事實重新組裝答案——不參考類比、不依賴傳統。
5) 重新組裝後的方案,跟既有方案差在哪?這個差異有道理嗎?
6) 你的修正版決策是什麼?

特別追問:當使用者說「業界都這樣」、「沒人這樣做過」,逼他回到「事實層」回答。

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 do I know I've actually reached first principles?

Test: are the things you're standing on "physical, mathematical, or independently verifiable facts" — or are they "industry convention," "common knowledge," "common sense"? When Musk attacked rocket cost, "rockets are expensive" wasn't a primitive — but "raw material costs (Al, Ti, Cu, carbon fiber) are 2% of rocket sticker price" was. You're at first principles when every premise traces to a quantifiable, verifiable source.

How is first principles different from 5 Whys?

Opposite directions. 5 Whys walks the causal chain upward — what caused this? What caused that? — to find the root cause. First principles walks the composition downward — what are this thing's irreducible parts? — to recompose. Fix what's broken with 5 Whys; design something new with first principles.

Do everyday decisions actually warrant first principles?

No — most daily decisions are fine on analogical reasoning ("how others do it") because consensus is usually 80% right. First principles earns its energy cost when: (1) you're stuck and every "reasonable" option feels wrong; (2) the decision will shape your life for 5+ years; (3) you suspect "everyone does it this way" is itself wrong. Outside those, analogy is cheaper and good enough.

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