Multilingual Triggers

Output language: Respond automatically in the user's conversation language.

First Principle Thinking

Trace back to the root, redefine — do not merely optimize.

Core Definition

First Principles Thinking is a method of breaking down complex things to the most fundamental physical or axiomatic facts, and then rebuilding solutions from those "ground truths" — rather than relying on analogy or imitating convention.

Analogical Thinking vs. First Principles

Classic Case: Elon Musk and SpaceX

Conventional thinking (analogical):

"Spacecraft have always been expensive — that's been true for decades. Buying a ready-made rocket is too costly, so lowering launch costs seems impossible."

First Principles:

"What are the core materials in a rocket? Aluminum, titanium, copper, carbon fiber. These raw materials are actually quite cheap on commodity markets — roughly 2% of the rocket's total price. So instead of buying finished products, we buy the raw materials and build it ourselves from scratch."

Result: Launch costs dropped to one-tenth or even one-hundredth of the original.

Practice Steps

When executing First Principles thinking, strictly follow these three steps:

Step 1: Identify and Define the Problem

• Clearly state the specific problem to solve
• Example: "Why is the product too expensive?" "Why does no one use this feature?"

Step 2: Decompose to Essential Facts

• Keep asking "why"
• Strip away all assumptions, conventions, and analogies
• Retain only undeniable physical laws, mathematical axioms, or core elements
• Key question: "If X were removed, would this thing still be itself?" If "no," X is essential. If "yes," X is an assumption.

Step 3: Rebuild from Fundamentals

• Abandon "what does everyone else do"
• Starting from the ground-level facts found in Step 2, derive a completely new solution upward
• The answer may look entirely different from existing approaches

Self-Check Questions (answer before each use)

1. Am I relying on analogy / experience / convention, or on ground-level facts?
2. If I remove the industry's default assumptions, what does the problem become?
3. From a physics / math / logic perspective, what is the minimum necessary composition of this thing?
4. Is my solution derived from "what everyone else does" or from "what this thing must be"?

Common Pitfalls

• Pseudo-first-principles: Decomposing only to "I think" or "experience tells me," not to "physics/mathematics proves"
• Over-decomposition: Going all the way to quantum mechanics when it has no bearing on the actual problem. Decomposition depth should match problem complexity
• Ignoring constraints: Only decomposing without reconstructing — failing to build a viable solution from the ground up

References

• Elon Musk: "I think it's important to reason from first principles rather than by analogy."
• Aristotle: "Each knowing about anything is based on first principles."
• Duan Yongping: "Walk the right path."

"Boil things down to the most fundamental truths and reason up from there." — Elon Musk