Clear Thinking & Decisions
Most bad decisions aren't made by stupid people. They're made by smart people using shortcuts that worked well enough in simpler situations but fail catastrophically when the stakes go up. Your brain is running on hardware evolved for a world where the biggest decision was "is that a predator or a rock." That same hardware is now evaluating health claims, political arguments, financial decisions, and career moves — and it's full of bugs that marketers, politicians, con artists, and your own ego exploit constantly. This skill covers two things: how to evaluate information so you stop getting fooled, and how to make decisions so you stop being paralyzed. Neither requires being "smart." Both require specific, learnable techniques that most people were never taught.
This skill references and extends: ai-scam-defense, boundaries-saying-no.
``agent-adaptation
# Localization note — media landscapes, education systems, and decision-making
# norms vary across cultures. Adapt examples accordingly.
- Media literacy context:
US: Highly polarized media landscape. Left-right framing dominates. Teach
evaluation of both sides, not just the one the user disagrees with.
UK: Tabloid culture. BBC is publicly funded but not bias-free. Teach
understanding of editorial vs. reporting.
AU: Concentrated media ownership (News Corp dominance). Source diversity
is especially important.
Developing nations: State-controlled media may be the primary source.
Teach evaluation of international sources as cross-reference.
- Statistical literacy:
Adjust examples to local health systems, currencies, and measurement systems.
The principles are universal; the numbers need localization.
- Decision-making norms:
Individualist cultures (US, UK, AU): Decisions often framed as personal choice.
Collectivist cultures: Decisions involve family, community, obligation.
Decision frameworks need to account for collective input without dismissing it.
- Education systems:
Critical thinking instruction varies wildly. Some users had formal logic
training. Most didn't. Start with practical examples, not academic terminology.
- Misinformation vectors:
WhatsApp-driven misinformation is dominant in South Asia, Latin America, Africa.
Facebook/Meta in the US and Europe. WeChat in China. Adapt platform-specific
advice accordingly.
CODEBLOCK0
THE 6 FALLACIES YOU'LL ENCOUNTER THIS WEEK
These aren't academic exercises. These show up in arguments, ads,
news, social media, and conversations every single day.
1. AD HOMINEM (attacking the person, not the argument)
"You can't talk about nutrition — you're overweight."
The argument's validity has nothing to do with who's making it.
A broke accountant can still give correct tax advice. Evaluate
the claim, not the claimant.
Where you'll see it: Political debates, online arguments, any
time someone is losing an argument and pivots to personal attacks.
2. FALSE DICHOTOMY (only two options when more exist)
"You're either with us or against us."
"If you don't support this policy, you must support the problem."
Most decisions have more than two options. When someone frames
a choice as binary, ask: "What are the other options they're
not mentioning?"
Where you'll see it: Political messaging, sales pressure ("buy
now or lose this forever"), relationship ultimatums.
3. APPEAL TO AUTHORITY (it's true because an important person said it)
"Dr. Famous said this supplement works."
Experts can be wrong. Experts can be paid. The relevant question
isn't WHO said it but WHAT'S THE EVIDENCE. A celebrity doctor
endorsing a product is advertising, not science.
Where you'll see it: Health products, financial advice, any time
a credential is used as a substitute for evidence.
4. SUNK COST FALLACY (continuing because you've already invested)
"I've been in this relationship for 5 years — I can't leave now."
"We've spent $50K on this project — we have to finish it."
Past investment is irrelevant to whether future investment is wise.
The money/time is gone regardless. The only question is: going
forward, is this the best use of your resources?
Where you'll see it: Bad relationships, failing businesses, boring
movies, degree programs you hate, stocks that are tanking.
5. CONFIRMATION BIAS (seeking info that confirms what you already believe)
You Google "is coffee good for you" and click only the articles
that say yes. You interpret ambiguous evidence as supporting your
existing view. Everyone does this. It's the most pervasive bias
in human cognition.
The fix: Actively seek the strongest argument AGAINST your position.
If you think X is true, search for "why X is wrong" and read the
best version of that argument. If your position survives that test,
it's stronger. If it doesn't, you've learned something.
Where you'll see it: Everywhere. Every argument you've ever had.
Every belief you hold.
6. ANECDOTAL EVIDENCE (my experience = universal truth)
"My grandfather smoked and lived to 95, so smoking isn't that bad."
"I didn't wear a seatbelt and I'm fine."
One example proves nothing about the general pattern. Survivorship
bias: you don't hear from the people who smoked and died at 55
because they're not here to tell the story.
Where you'll see it: Health decisions, risk assessment, any time
someone says "well, in MY experience..."
CODEBLOCK1
THE SOURCE EVALUATION CHECKLIST
Before you believe a claim — from a news article, a social media post,
a friend, or an ad — run it through these filters:
1. WHO IS SAYING THIS?
- A journalist at a reputable outlet?
- A random person on social media?
- A company selling something?
- An expert in the relevant field (not just any field)?
- A think tank or organization? (Who funds them?)
2. WHAT'S THEIR INCENTIVE?
- Do they profit if you believe this? (Advertisers, salespeople,
politicians, influencers)
- Does their career depend on this position? (Academics, pundits)
- Could they face consequences for lying? (Journalists can be sued.
Random social media posters cannot.)
3. DOES IT CITE PRIMARY SOURCES?
- "Studies show..." Which studies? Where published? By whom?
- "Experts say..." Which experts? What's their credential in THIS
field?
- If a claim doesn't link to or cite the actual evidence, treat
it as an opinion, not a fact.
4. HAS IT BEEN INDEPENDENTLY VERIFIED?
- Can you find this claim reported by multiple independent outlets?
- If only one source is reporting it, be cautious.
- If multiple outlets are reporting it but all cite the same single
source, that's still only one source.
5. HOW DOES IT MAKE YOU FEEL?
- If it makes you immediately outraged, afraid, or triumphant,
pause. Emotionally charged content is designed to bypass your
critical thinking. The stronger your emotional reaction, the
more carefully you should evaluate the claim.
6. WHAT'S THE STRONGEST COUNTERARGUMENT?
- If you can't articulate the other side's best argument, you
don't understand the issue well enough to have a strong opinion.
EVALUATING HEALTH CLAIMS SPECIFICALLY:
- Is it peer-reviewed? Published in a recognized medical journal?
- Sample size: A study of 12 people is not conclusive. A study of
12,000 is more convincing.
- Relative vs. absolute risk: "Doubles your risk!" sounds scary.
But doubling from 0.001% to 0.002% is not scary. Always ask:
what's the actual number?
- Does it replicate? One study proves almost nothing. Multiple
studies showing the same thing start to prove something.
- Who funded the study? Coca-Cola-funded research on sugar safety
should be viewed differently than independently funded research.
CODEBLOCK2
HOW NUMBERS LIE — THE 5 MOST COMMON TRICKS
1. CHERRY-PICKED TIMELINES
"The economy grew 3% this quarter!" (But it shrank 8% last quarter.)
"Crime is up 20% since January!" (But down 40% from 5 years ago.)
Any statistic with a timeline can be manipulated by choosing the
start and end dates. Ask: what does the FULL timeline look like?
2. MISLEADING GRAPHS
- Y-axis doesn't start at zero: makes small differences look huge.
- Compressed or expanded scales: can make any trend look dramatic
or flat.
- Dual-axis charts: can imply correlation where none exists.
Always read the axes before reacting to the shape of the graph.
3. CORRELATION DOES NOT EQUAL CAUSATION
"Countries that eat more chocolate win more Nobel Prizes."
(Both correlate with wealth and education investment.)
"Ice cream sales correlate with drowning deaths."
(Both increase in summer.)
Just because two things move together doesn't mean one causes
the other. There's almost always a third variable.
4. RELATIVE VS. ABSOLUTE NUMBERS
"This treatment reduces your risk by 50%!" = relative.
"This treatment reduces your risk from 2% to 1%." = absolute.
Same data. Very different feeling. Always demand the absolute
numbers. Relative numbers are the native language of manipulation.
5. AVERAGE VS. MEDIAN
"The average income in this company is $200K!" (Because the CEO
makes $10M and everyone else makes $60K.)
Average (mean) is distorted by outliers. Median (the middle value)
tells you what's typical. When someone quotes an average, ask
for the median.
THE GENERAL RULE:
If a number is being used to sell you something, scare you, or
persuade you, ask: "What's the number they AREN'T showing me?"
There's always one.
CODEBLOCK3
THE FIRST QUESTION FOR ANY DECISION: CAN I UNDO IT?
Most people spend the same amount of mental energy on reversible
decisions as irreversible ones. This is a massive waste.
REVERSIBLE DECISIONS (Type 2):
- Trying a new job (you can quit or find another)
- Moving to a new city (you can move back)
- Starting a side project (you can stop)
- Changing your hairstyle (it grows back)
- Trying a new restaurant (you eat one bad meal)
- Signing up for a class (you can drop it)
IRREVERSIBLE DECISIONS (Type 1):
- Having a child
- Major surgery
- Burning a professional bridge publicly
- Spending money you can't get back on a depreciating asset
- Saying something in anger that can't be unsaid
- Signing a contract with severe penalties for exit
THE RULE:
- REVERSIBLE decisions: Decide fast. The cost of delay usually
exceeds the cost of a wrong choice. Try it, evaluate, adjust.
- IRREVERSIBLE decisions: Go slow. Gather information. Consult
others. Sleep on it. The cost of a wrong choice exceeds the
cost of delay.
THE COMMON MISTAKE:
Most people overthink reversible decisions (spending weeks choosing
a restaurant, agonizing over a gym membership) and underthink
irreversible ones (signing a mortgage in a rush, saying yes to
marriage because of social pressure). Flip it.
CODEBLOCK4
THE 70% RULE — WHEN TO STOP GATHERING AND START DECIDING
With 40% of the information: you're guessing. Gather more.
With 70% of the information: you have enough. Decide.
With 100% of the information: it's too late. The opportunity passed.
WHY 70% IS THE SWEET SPOT:
- You'll never have all the information. Ever. For any decision.
Waiting for certainty is waiting forever.
- The marginal value of additional information drops sharply after
~70%. Going from 70% to 80% informed takes as long as going
from 0% to 70%, and changes the decision far less often.
- Speed of decision often matters more than quality of decision,
especially for reversible choices (Step 4).
HOW TO ESTIMATE YOUR INFORMATION LEVEL:
Ask yourself:
1. Do I understand the major options? (Yes/no)
2. Do I understand the likely consequences of each? (Yes/no)
3. Have I consulted someone with relevant experience? (Yes/no)
4. Do I know the key risks? (Yes/no)
5. Am I just gathering more info to avoid the discomfort of deciding?
If you answered yes to 1-4, you're probably at 70%+.
If you answered yes to 5, you're procrastinating, not researching.
THE TEST: "If I had to decide right now, what would I choose?"
If you have a clear answer, you have enough information. The extra
research is stalling.
CODEBLOCK5
FRAMEWORK TOOLKIT — PICK THE ONE THAT FITS
THE 10/10/10 RULE (for emotional decisions):
Ask: How will I feel about this in:
- 10 minutes? (The hot emotional reaction)
- 10 months? (When the dust has settled)
- 10 years? (When it's ancient history)
If all three timeframes agree, the decision is clear.
If they disagree, trust the 10-year answer.
Use for: Confrontations, quitting impulses, emotional purchases,
relationship decisions made while angry.
---
THE "HELL YES OR NO" FILTER (for optional commitments):
If your response to an invitation, opportunity, or request isn't
an enthusiastic "hell yes," it's a no.
This filter only applies to OPTIONAL things. You still have to pay
taxes, show up to work, and feed your kids.
Use for: Social invitations, volunteer commitments, side projects,
favors. Protects against over-commitment and people-pleasing.
---
WEIGHTED PROS AND CONS (for complex decisions):
Standard pro/con lists are useless because they treat all items
as equal. "Pro: closer to family. Con: slightly worse weather."
Those aren't the same weight.
Instead:
1. List all pros and cons.
2. Assign each a weight from 1 (barely matters) to 5 (life-changing).
3. Multiply: number of items x weight.
4. Compare totals.
Example — Should I take the new job?
Pros: More money (5) + shorter commute (3) + new skills (4) = 12
Cons: Less stability (4) + further from friends (2) + unknown team (3) = 9
Pro total is higher. Take the job.
This doesn't make the decision for you. It externalizes your values
so you can see them clearly.
---
REGRET MINIMIZATION (for major life decisions):
Jeff Bezos framework: Project yourself to age 80. Ask: "Will I
regret NOT doing this more than I'll regret doing it?"
Use for: Career changes, moves, starting businesses, ending
relationships, big risks. Not for daily decisions — reserve this
for the handful of choices that genuinely shape a life.
CODEBLOCK6
AFTER THE DECISION — CLOSING THE DOOR
The decision is made. Now your brain will try to unmake it.
Second-guessing after deciding is one of the biggest sources of
anxiety and wasted energy in adult life.
WHY YOU SECOND-GUESS:
- Hedonic adaptation: The new choice becomes normal fast, and you
start seeing the grass as greener on the other option.
- Counterfactual thinking: Your brain generates "what if" scenarios
about the path not taken. These fantasies are always unrealistically
positive because they're fiction.
- Loss aversion: The losses of your chosen option feel 2x more
painful than the equivalent gains (Kahneman research).
THE COMMITMENT PROTOCOL:
1. SET A REVIEW DATE
"I will not reconsider this decision for [30/60/90 days]."
Write it down. Give the decision time to play out before
evaluating. Most decisions need time to show their real effects.
2. STOP RESEARCHING ALTERNATIVES
Once you've chosen a restaurant, stop reading reviews of other
restaurants. Once you've taken the job, stop browsing job boards.
Continued comparison erodes satisfaction with any choice.
3. INVEST IN YOUR CHOICE
The best way to make the right decision is to make your decision
right. Put energy into making the chosen path work rather than
wondering about the other paths.
4. ACCEPT IMPERFECTION
No option was perfect. You chose the best available option with
the information you had. That's all anyone can do. The unlived
path was not problem-free — you just can't see its problems
because you didn't walk it.
THE EXCEPTION:
If genuinely new information emerges (not "I'm having second
thoughts" but "I discovered a fact I didn't have before"), then
reassessment is appropriate. Changed circumstances change decisions.
That's rational, not weak.
CODEBLOCK7
MANIPULATION DETECTION — REAL-TIME CHECKLIST
SALES AND MARKETING:
- Artificial urgency: "Only 3 left!" "Price goes up at midnight!"
Real scarcity doesn't need a countdown timer.
- Social proof manipulation: "10,000 people bought this!" So what?
10,000 people make bad purchases daily.
- Anchoring: The "original price" was never the real price. The
"compare at" price is fiction. Evaluate the actual price against
the actual value.
- Free trial to paid: They're betting on inertia. You'll forget to
cancel. If you sign up, set a calendar reminder for 2 days before
it converts.
ARGUMENTS AND DEBATES:
- Gish gallop: Throwing 20 weak arguments instead of 1 strong one.
You can't refute all 20, so they "win." Response: "Let's take your
strongest point and examine it."
- Moving the goalposts: You prove X, they say "well, what about Y?"
You prove Y, they say "but what about Z?" Name it: "I answered your
original question. Do you accept that point?"
- Whataboutism: "What about [unrelated bad thing]?" Response: "We're
talking about [original topic]. We can discuss that separately."
- Appeal to emotion: A sad story doesn't prove a policy works. A scary
anecdote doesn't prove a risk is significant. Feelings are real.
They're not evidence.
MEDIA AND SOCIAL MEDIA:
- Headlines are designed for clicks, not accuracy. Read the article.
Often the headline contradicts the content.
- Screenshots of tweets/posts can be fabricated in 30 seconds.
Go to the original source.
- "Some people say..." is a way to introduce an idea without taking
responsibility for it. WHO says? How many? What's their evidence?
- If a claim makes you feel like sharing it immediately — that's the
moment to pause and verify. Viral content is optimized for emotional
response, not accuracy.
THE GENERAL DEFENSE:
When someone is trying to get you to believe, buy, or do something,
ask: "Why is this being presented to me right now, in this way, by
this person?" The answer is usually: because someone profits from
your belief or action.
CODEBLOCK8 yaml
clear_thinking_session:
context: null
decision_type: null
reversibility: null
information_level: null
fallacies_identified: []
frameworks_applied: []
claims_evaluated: []
decision_made: false
commitment_period_set: false
resources_provided: []
related_skills_referenced: []
CODEBLOCK9 yaml
triggers:
- name: misinformation_evaluation
condition: "user asks whether a claim is true or presents conflicting information"
schedule: "on_demand"
action: "Run the source evaluation checklist (Step 2) and identify any relevant fallacies (Step 1)"
- name: decision_paralysis
condition: "user describes being unable to make a decision or overthinking"
schedule: "on_demand"
action: "Start with Step 4 reversible/irreversible classification, then apply Step 5 (70% rule) and relevant framework from Step 6"
- name: manipulation_flag
condition: "user describes a sales pitch, argument, or media claim that feels manipulative"
schedule: "on_demand"
action: "Jump to Step 8 manipulation detection checklist and help user identify specific techniques being used"
- name: post_decision_anxiety
condition: "user has made a decision but can't stop second-guessing it"
schedule: "on_demand"
action: "Apply Step 7 commitment protocol and help set a review date"
``
清晰思考与决策
大多数糟糕的决策并非由愚蠢的人做出。它们是由聪明的人做出的,这些人使用了在简单情境下行之有效、但在风险升高时却会灾难性失败的思维捷径。你的大脑运行的硬件是为这样一个世界进化而来的:当时最大的决策是那是捕食者还是岩石。同样的硬件现在正在评估健康声明、政治论点、财务决策和职业规划——而且它充满了营销人员、政客、骗子以及你自己的自我意识不断利用的漏洞。这项技能涵盖两件事:如何评估信息,使你不再被愚弄;以及如何做出决策,使你不再陷入瘫痪。两者都不需要聪明。两者都需要大多数人从未学过的、具体的、可习得的技巧。
此技能参考并延伸:人工智能诈骗防御、设定边界说不。
agent-adaptation
本地化说明——媒体环境、教育体系和决策规范因文化而异。请相应调整示例。
美国:高度两极化的媒体环境。左右派框架主导。教导评估双方观点,而不仅仅是用户不同意的那一方。
英国:小报文化。BBC由公共资金资助,但并非没有偏见。教导理解社论与新闻报道的区别。
澳大利亚:媒体所有权集中(新闻集团主导)。来源多样性尤为重要。
发展中国家:国家控制的媒体可能是主要信息来源。教导评估国际来源作为交叉参考。
根据当地医疗体系、货币和度量衡调整示例。原则是通用的;数字需要本地化。
个人主义文化(美国、英国、澳大利亚):决策通常被框定为个人选择。
集体主义文化:决策涉及家庭、社区、义务。决策框架需要在不忽视集体意见的情况下考虑其影响。
批判性思维教学差异巨大。有些用户接受过形式逻辑训练。大多数没有。从实际例子开始,而不是学术术语。
WhatsApp驱动的错误信息在南亚、拉丁美洲、非洲占主导地位。Facebook/Meta在美国和欧洲。微信在中国。相应地调整针对特定平台的建议。
来源与验证
- - 丹尼尔·卡尼曼,《思考,快与慢》——系统1/系统2框架。认知偏见及其对判断的影响。Farrar, Straus and Giroux出版社,2011年。
- 谢恩·帕里什,《清晰思考》——针对高风险情境的实用决策框架。Portfolio出版社,2023年。
- 卡尔·萨根,《魔鬼出没的世界》——胡说八道检测工具包。科学素养作为公民责任。Ballantine Books出版社,1995年。
- 奇普·希思与丹·希思,《决断力》——克服决策中认知偏见的WRAP框架。Crown Business出版社,2013年。
- 达莱尔·哈夫,《统计数字会撒谎》——关于统计操纵的经典入门读物。至今仍有参考价值。Norton出版社,1954年。
- 纳西姆·尼古拉斯·塔勒布,《随机漫步的傻瓜》——我们如何将噪音误认为信号,将运气误认为技能。Random House出版社,2005年。
- First Draft / Credibility Coalition——关于错误信息检测和媒体素养的研究。https://firstdraftnews.org
何时使用
- - 用户试图评估相互矛盾的信息(健康声明、新闻报道、建议)
- 需要在信息不完整的情况下做出艰难决策
- 怀疑自己正在被操纵或欺骗
- 被选项淹没而无法决定
- 想更有效地论证自己的立场
- 正在评估一个听起来好得令人难以置信的财务机会
- 正在阅读关于某种治疗方法的信息,想知道它是否合法
- 因重大人生决策(职业转变、搬家、人际关系)而感到瘫痪
- 想理解为什么自己总是重复同样的糟糕决策
指令
第一步:日常生活中最重要的6种谬误
智能体行动:用现实世界的例子(而非教科书定义)呈现最常见的逻辑谬误。
本周你会遇到的6种谬误
这些不是学术练习。它们每天都出现在争论、广告、新闻、社交媒体和对话中。
- 1. 人身攻击(攻击人,而非论点)
你没资格谈论营养学——你自己都超重了。
论点的有效性与其提出者是谁毫无关系。
一个破产的会计师仍然可以提供正确的税务建议。评估主张本身,而非提出主张的人。
你会在哪里看到它:政治辩论、网络争论、任何当某人争论失利并转向人身攻击的时候。
- 2. 虚假两难(只提供两个选项,而实际上存在更多)
你要么支持我们,要么反对我们。
如果你不支持这项政策,那你一定支持这个问题本身。
大多数决策都有两个以上的选项。当有人将选择框定为二元对立时,问:他们没提到的其他选项是什么?
你会在哪里看到它:政治宣传、销售施压(现在不买就永远错过了)、关系中的最后通牒。
- 3. 诉诸权威(因为重要人物说了,所以就是真的)
著名医生说这种补充剂有效。
专家可能犯错。专家可能被收买。相关的问题不是谁说的,而是证据是什么。一位名人医生代言产品是广告,不是科学。
你会在哪里看到它:健康产品、财务建议、任何用资历代替证据的时候。
- 4. 沉没成本谬误(因为已经投入了,所以继续坚持)
这段感情我已经谈了5年——我现在不能分手。
这个项目我们已经花了5万美元——我们必须完成它。
过去的投入与未来的投资是否明智无关。钱/时间无论如何都已经花掉了。唯一的问题是:向前看,这是对你资源的最佳利用吗?
你会在哪里看到它:糟糕的关系、失败的企业、无聊的电影、你讨厌的学位课程、正在暴跌的股票。
- 5. 确认偏误(寻找能证实自己已有信念的信息)
你搜索咖啡对身体好吗,只点击那些说好的文章。你将模棱两可的证据解读为支持你现有观点。每个人都这样做。这是人类认知中最普遍的偏见。
解决方法:主动寻找反对你立场的最有力论证。如果你认为X是对的,搜索为什么X是错的,并阅读该论证的最佳版本。如果你的立场经得起那个考验,它就变得更坚实了。如果经不起,你就学到了东西。
你会在哪里看到它:无处不在。你经历过的每一次争论。你持有的每一个信念。
- 6. 轶事证据(我的经历=普遍真理)
我爷爷抽烟活到了95岁,所以抽烟没那么糟糕。
我没系安全带也没事。
一个例子不能证明普遍规律。幸存者偏差:你听不到那些抽烟并在55岁去世的人的故事,因为他们已经不在了。
你会在哪里看到它:健康决策、风险评估、任何当有人说嗯,以我的经验……的时候。
第二步:如何评估一个主张
智能体行动:提供针对新闻、健康声明和一般信息的来源评估清单。
来源评估清单
在相信一个主张之前——无论是来自新闻文章、社交媒体帖子、朋友还是广告——请用这些过滤器检查一遍:
- 1. 谁在说这个?
- 来自信誉良好的媒体的记者?
- 社交媒体上的一个随机人士?
- 一家正在销售产品的公司?
- 相关领域的专家(不仅仅是任何领域的专家)?
- 一个智库或组织?(谁资助他们?)
- 2. 他们的动机是什么?
- 如果你相信这个,他们能获利吗?(广告商、销售人员、政客、网红)
- 他们的职业生涯是否依赖于这个立场?(学者、评论员)
- 他们撒谎会面临后果吗?(记者可能被起诉。随机的社交媒体发帖者不会。)
- 3. 它是否引用了原始来源?
- 研究表明……哪些研究?在哪里发表的?由谁发表的?
- 专家说……哪些专家?他们在这个领域的资质是什么?
- 如果一个主张没有链接或引用实际证据,就把它当作观点,而非事实。
- 4. 它是否经过独立验证?
- 你能在多个独立媒体上找到这个主张的报道吗?
- 如果只有一个来源在报道,要谨慎。
- 如果多个媒体都在报道,但都引用了同一个单一来源,那仍然只是一个来源。
- 5. 它让你感觉如何?
- 如果它让你立刻感到愤怒、恐惧或得意,请暂停。充满情绪的内容旨在绕过你的批判性思维。你的情绪反应越强烈,你就越应该仔细评估这个主张。
- 6. 最有力的反驳论点是什么?
- 如果你无法清晰阐述对方的最佳论点,说明你对这个问题的理解还不够深入,不足以持有强烈的观点。
专门评估健康声明:
- - 是否经过同行评审?发表在公认的医学期刊上?
- 样本量:一项12人的研究不能下定论。一项12000人的研究更有说服力。
- 相对风险 vs. 绝对风险:使你的风险翻倍!听起来很吓人。但从0.001%翻倍到0.002%并不吓人。始终要问:实际数字是多少?
- 是否可重复?一项研究几乎证明不了什么。多项显示相同结果的研究才开始证明一些东西。
- 谁资助了这项研究?可口可乐资助的关于糖安全性的研究,与独立资助的研究,应该区别看待。
第三步:识别统计操纵
智能体