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Critical Thinking Framework

Critical Thinking框架

Overview

概述

Critical thinking systematically evaluates arguments by decomposing them into claims, evidence, reasoning, and assumptions. It identifies where arguments are strong, weak, or fallacious — not to "win" debates but to arrive at better-justified conclusions.

批判性思维通过将论证分解为Claim（主张）、Evidence（证据）、推理和假设，系统性地评估论证。它旨在识别论证的优势、劣势或谬误——并非为了“赢得”辩论，而是为了得出更具合理性的结论。

Framework

框架

IRON LAW: Separate the Argument from the Person

Evaluate the ARGUMENT (claim + evidence + reasoning), not the person
making it. A bad person can make a good argument. A trusted expert
can make a bad argument. Ad hominem (attacking the person) and appeal
to authority (trusting the person) are both fallacies.

IRON LAW: Separate the Argument from the Person

Evaluate the ARGUMENT (claim + evidence + reasoning), not the person
making it. A bad person can make a good argument. A trusted expert
can make a bad argument. Ad hominem (attacking the person) and appeal
to authority (trusting the person) are both fallacies.

Argument Structure

论证结构

Every argument has four components:

Claim: What is being asserted? (conclusion)
Evidence: What facts/data support the claim?
Reasoning: How does the evidence support the claim? (the logical bridge)
Assumptions: What unstated premises must be true for the reasoning to hold?

每个论证都包含四个组成部分：

Claim：主张的内容是什么？（结论）
Evidence：哪些事实/数据支持该主张？
推理：证据如何支持主张？（逻辑桥梁）
假设：推理成立必须满足哪些未陈述的前提？

Evaluation Steps

评估步骤

Step 1: Identify the claim — What exactly is being argued? Restate in one sentence.

Step 2: Examine the evidence

Is it factual or anecdotal?
Is it sufficient (enough data points)?
Is it relevant (does it actually relate to the claim)?
Is it current (not outdated)?
Could the evidence support a different claim?

Step 3: Evaluate the reasoning

Does the evidence logically lead to the claim?
Are there logical fallacies? (see catalog below)
Is correlation being mistaken for causation?
Are there alternative explanations?

Step 4: Surface assumptions

What must be true for this argument to work?
Are these assumptions reasonable?
What happens if an assumption is wrong?

步骤1：识别Claim——明确论证的核心内容是什么？用一句话重述。

步骤2：审查Evidence

是事实性证据还是轶事性证据？
是否充分（数据点足够多）？
是否相关（与主张实际相关）？
是否时效性强（未过时）？
该证据是否可以支持其他主张？

步骤3：评估推理

证据是否能逻辑地推导出主张？
是否存在Logical Fallacies？（见下方分类）
是否将相关性误认为因果关系？
是否存在其他解释？

步骤4：挖掘隐藏假设

该论证成立必须满足哪些条件？
这些假设是否合理？
如果某个假设不成立，会发生什么？

Common Logical Fallacies

常见Logical Fallacies

Fallacy	What It Does	Example
Ad hominem	Attacks the person, not the argument	"You can't talk about economics, you're not an economist"
Straw man	Distorts the opponent's argument to attack a weaker version	"You want to reduce military spending? So you want us defenseless?"
False dichotomy	Presents only two options when more exist	"You're either with us or against us"
Slippery slope	Claims one event will inevitably lead to extreme consequences	"If we allow remote work, soon no one will come to the office ever"
Appeal to authority	Uses authority status instead of evidence	"The CEO says AI will replace all jobs, so it must be true"
Hasty generalization	Draws broad conclusion from limited cases	"My two friends who studied art are unemployed, so art degrees are useless"
Red herring	Introduces irrelevant information to distract	"Yes, our product has bugs, but look at our amazing company culture"
Circular reasoning	Conclusion is assumed in the premise	"This is the best approach because there's no better one"

Fallacy	表现	示例
Ad hominem	攻击提出论证的人而非论证本身	“你不懂经济学，没资格谈论这个话题”
Straw man	歪曲对手的论证，转而攻击一个更弱的版本	“你想削减军费？那你是想让我们失去防御能力？”
False dichotomy	只呈现两种选项，而实际上存在更多可能性	“你要么支持我们，要么反对我们”
Slippery slope	声称某一事件会不可避免地导致极端后果	“如果允许远程办公，很快没人会再来办公室”
Appeal to authority	利用权威身份而非证据来支撑论证	“CEO说AI会取代所有工作，所以肯定会这样”
Hasty generalization	根据有限案例得出宽泛结论	“我的两个学艺术的朋友都失业了，所以艺术学位毫无用处”
Red herring	引入无关信息以转移注意力	“没错，我们的产品有bug，但看看我们出色的企业文化”
Circular reasoning	结论已包含在前提中	“这是最佳方案，因为没有更好的选择了”

Output Format

输出格式

markdown

undefined

markdown

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Argument Analysis: {Topic}

Claim

{One-sentence restatement of the core argument}

Evidence Assessment

Evidence	Type	Sufficient?	Relevant?	Current?
{evidence 1}	{fact/anecdote/expert/stat}	Y/N	Y/N	Y/N

Evidence	Type	Sufficient?	Relevant?	Current?
{evidence 1}	{fact/anecdote/expert/stat}	Y/N	Y/N	Y/N

Reasoning Evaluation

Logical validity: {valid / fallacious}
Fallacies detected: {list with explanation}
Alternative explanations: {what else could explain the evidence}

Logical validity: {valid / fallacious}
Fallacies detected: {list with explanation}
Alternative explanations: {what else could explain the evidence}

Hidden Assumptions

{assumption} — reasonable? {Y/N, why}

{assumption} — reasonable? {Y/N, why}

Verdict

Argument strength: Strong / Moderate / Weak
Key weakness: {the biggest flaw}
What would strengthen it: {what evidence or reasoning is missing}

undefined

Argument strength: Strong / Moderate / Weak
Key weakness: {the biggest flaw}
What would strengthen it: {what evidence or reasoning is missing}

undefined

Examples

示例

Correct Application

正确应用场景

Scenario: Evaluating the claim "Remote work reduces productivity"

Claim: Remote work reduces productivity
Evidence cited: "Our Q3 output dropped 15% after going remote"
Assumption surfaced: That the output drop was CAUSED by remote work (not by Q3 seasonality, new hires ramping up, product pivot, or pandemic stress)
Fallacy: Post hoc ergo propter hoc (after it, therefore because of it) — correlation assumed to be causation
Verdict: Weak — single data point, confounded by multiple factors, no controlled comparison ✓

场景： 评估主张“Remote work降低生产力”

Claim：Remote work降低生产力
引用的Evidence：“转为远程办公后，我们第三季度的产出下降了15%”
挖掘的假设：产出下降是由Remote work导致的（而非第三季度季节性因素、新员工适应期、产品转型或疫情压力）
Fallacy：Post hoc ergo propter hoc（在此之后，因此由此造成）——将相关性误认为因果关系
结论：薄弱——单一数据点，受多种因素干扰，无对照比较 ✓

Incorrect Application

错误应用场景

"The CEO said remote work is bad, so the argument must be wrong" → Ad hominem in reverse (dismissing based on who said it). Violates Iron Law: evaluate the argument, not the person.

“CEO说远程办公不好，所以这个论证肯定是错的” → 反向人身攻击（根据发言者身份否定论证）。违反铁律：评估论证本身，而非提出论证的人。

Gotchas

注意事项

Strong arguments can have wrong conclusions: An argument can be logically valid (reasoning follows from premises) but unsound (premises are false). Check both.
"I feel" is not evidence: Emotions are valid as human experiences but not as evidence for factual claims. "I feel unsafe" is a legitimate concern; "I feel this policy doesn't work" is not evidence of policy failure.
Burden of proof: The person making the claim bears the burden of proof. "You can't prove it's wrong" is not evidence that it's right (argument from ignorance).
Steelmanning > strawmanning: Instead of attacking the weakest version of an argument (strawman), construct the STRONGEST version (steelman) and then evaluate it. This produces better analysis.
Critical thinking is not cynicism: The goal is better-justified beliefs, not skepticism of everything. Some arguments are strong. Acknowledging strong arguments is part of critical thinking.

论证逻辑严谨不代表结论正确：一个论证可能逻辑有效（推理基于前提）但不合理（前提错误）。需同时检查两者。
“我觉得”不是证据：情绪作为人类体验是合理的，但不能作为事实主张的证据。“我感到不安全”是合理的担忧；“我觉得这项政策没用”不能作为政策失效的证据。
举证责任：提出主张的人负有举证责任。“你无法证明它是错的”不能作为它正确的证据（无知论证）。
Steelman优于Straw man：不要攻击论证最薄弱的版本（稻草人谬误），而是构建其最强版本（Steelman）再进行评估。这样能得到更优质的分析。
批判性思维不等于犬儒主义：目标是形成更具合理性的信念，而非怀疑一切。有些论证确实很有说服力，认可这些论证也是批判性思维的一部分。

References

参考资料

For formal logic notation and syllogisms, see
```
references/formal-logic.md
```
For fallacy catalog with extended examples, see
```
references/fallacy-catalog.md
```

如需了解形式逻辑符号与三段论，请查看
```
references/formal-logic.md
```
如需包含扩展示例的谬误分类，请查看
```
references/fallacy-catalog.md
```