This one weird trick will help you spot clickbait Jeff Leek Lucy McGowan

One simple vitamin can reduce
your risk of heart disease.

Eating chocolate reduces
stress in students.

New drug prolongs lives of
patients with rare disease.

Health headlines like these
are published every day,

sometimes making opposite claims
from each other.

There can be a disconnect between broad,

attention-grabbing headlines
and the often specific,

incremental results of the medical
research they cover.

So how can you avoid being
misled by grabby headlines?

The best way to assess a headline’s
credibility

is to look at the original
research it reports on.

We’ve come up with a hypothetical research
scenario

for each of these three headlines.

Keep watching for the explanation
of the first example;

then pause at the headline to
answer the question.

These are simplified scenarios.

A real study would detail many more
factors and how it accounted for them,

but for the purposes of this exercise,

assume all the information
you need is included.

Let’s start by considering the
cardiovascular effects

of a certain vitamin, Healthium.

The study finds that participants taking
Healthium

had a higher level of healthy cholesterol
than those taking a placebo.

Their levels became similar to those of
people with naturally high levels

of this kind of cholesterol.

Previous research has shown that people
with naturally high levels

of healthy cholesterol have lower
rates of heart disease.

So what makes this headline misleading:

“Healthium reduces risk of heart disease.”

The problem with this headline is that the
research didn’t actually investigate

whether Healthium reduces heart disease.

It only measured Healthium’s impact

on levels of a particular
kind of cholesterol.

The fact that people with naturally high
levels of that cholesterol

have lower risk of heart attacks

doesn’t mean that the same
will be true of people

who elevate their cholesterol
levels using Healthium.

Now that you’ve cracked the
case of Healthium,

try your hand at a particularly alluring
mystery:

the relationship between eating chocolate
and stress.

This hypothetical study
recruits ten students.

Half begin consuming a
daily dose of chocolate,

while half abstain.

As classmates, they all follow
the same schedule.

By the end of the study, the chocolate
eaters are less stressed

than their chocolate-free counterparts.

What’s wrong with this headline:

“Eating chocolate reduces
stress in students”

It’s a stretch to draw a conclusion about
students in general from a sample of ten.

That’s because the fewer participants are
in a random sample,

the less likely it is that the sample will
closely represent

the target population as a whole.

For example, if the broader population of
students is half male and half female,

the chance of drawing a sample of 10

that’s skewed 70% male and
30% is about 12%.

In a sample of 100 that would be less than
a .0025% chance,

and for a sample of 1000,

the odds are less than 6 x 10^-36.

Similarly, with fewer participants,

each individual’s outcome has a larger
impact on the overall results—

and can therefore skew big-picture trends.

Still, there are a lot of good reasons for
scientists to run small studies.

By starting with a small sample,

they can evaluate whether the results are
promising enough

to run a more comprehensive,
expensive study.

And some research requires very specific
participants

that may be impossible to
recruit in large numbers.

The key is reproducibility—

if an article draws a conclusion
from one small study,

that conclusion may be suspect—

but if it’s based on many studies
that have found similar results,

it’s more credible.

We’ve still got one more puzzle.

In this scenario, a study tests a new drug
for a rare, fatal disease.

In a sample of 2,000 patients,

the ones who start taking the drug upon
diagnosis

live longer than those who
take the placebo.

This time, the question
is slightly different.

What’s one more thing you’d like to know
before deciding if the headline,

“New drug prolongs lives of patients
with rare disease”, is justified?

Before making this call,

you’d want to know how much the drug
prolonged the patients’ lives.

Sometimes, a study can have results that,

while scientifically valid, don’t have
much bearing on real world outcomes.

For example, one real-life clinical trial
of a pancreatic cancer drug

found an increase in life expectancy—
of ten days.

The next time you see a surprising medical
headline,

take a look at the science
it’s reporting on.

Even when full papers aren’t
available without a fee,

you can often find summaries of
experimental design

and results in freely available abstracts,

or even within the text
of a news article.

It’s exciting to see scientific research
covered in the news,

and important to understand
the studies’ findings.

一种简单的维生素可以
降低患心脏病的风险。

吃巧克力可以
减轻学生的压力。

新药可延长
罕见病患者的生命。

像这样的健康头条
每天都会发布,

有时会互相提出相反的
说法。

广泛的、

引人注目的头条新闻

它们所涵盖的医学研究的具体、渐进的结果之间可能存在脱节。

那么如何避免
被抢眼的头条误导呢?

评估标题可信度的最佳方法

是查看
其报道的原始研究。

我们为这三个标题中的每一个都提出了一个假设的研究
场景

继续关注
第一个例子的解释;

然后停在标题处
回答问题。

这些是简化的场景。

一项真正的研究会详细说明更多
因素以及它是如何解释这些因素的,

但出于本练习的目的,

假设
您需要的所有信息都已包含在内。

让我们首先考虑

某种维生素 Healthium 对心血管的影响。

研究发现,服用

Healthium 的参与者的健康胆固醇水平
高于服用安慰剂的参与者。

他们的水平变得与
具有天然

高水平这种胆固醇的人相似。

先前的研究表明,
天然

健康胆固醇水平
较高的人患心脏病的几率较低。

那么是什么让这个标题具有误导性:

“Healthium 降低了患心脏病的风险。”

这个标题的问题在于,这项
研究实际上并没有调查

Healthium 是否能减少心脏病。

它只测量了 Healthium 对

特定类型胆固醇水平的影响

具有天然高
胆固醇水平的人

心脏病发作风险较低这一事实

并不意味着使用

Healthium 提高胆固醇水平的人也是
如此。

既然您已经破解
了 Healthium 的案例,请

尝试解开一个特别诱人的
谜团:

吃巧克力与压力之间的关系

这项假设性研究
招募了 10 名学生。

一半开始食用
每日剂量的巧克力

,一半弃权。

作为同学,他们都
遵循相同的时间表。

在研究结束时,

巧克力的人比不吃巧克力的人压力小。

这个标题有什么问题:

“吃巧克力可以
减轻学生的压力”

从 10 个样本中得出关于
学生总体情况的结论有点牵强。

这是因为随机样本中的参与者越少

,样本就越不可能
紧密地代表

整个目标人群。

例如,如果更广泛的
学生群体是半男半女,

那么抽取 10 个样本,

其中男性占 70%,男性
占 30% 的概率约为 12%。

在 100 个样本中,
几率小于 0.0025%

,对于 1000 个样本

,几率小于 6 x 10^-36。

同样,参与者越少,

每个人的结果
对整体结果的影响就越大——

因此可能会扭曲大局趋势。

尽管如此,科学家们仍有很多充分的理由
进行小型研究。

通过从小样本开始,

他们可以评估结果是否

足以进行更全面、更
昂贵的研究。

有些研究需要非常具体的
参与者

,可能无法
大量招募。

关键是可重复性——

如果一篇文章
从一项小型研究

中得出结论,这个结论可能会令人怀疑——

但如果它是基于
许多发现相似结果的研究,

它就更可信。

我们还有一个谜团。

在这种情况下,一项研究测试了一种新药,
用于治疗一种罕见的致命疾病。

在 2,000 名患者的样本中,诊断后

开始服用该药物的患者


服用安慰剂的患者寿命更长。

这一次,
问题略有不同。

在决定标题

“新药延长罕见病患者的生命
”是否合理之前,您还想知道什么?

在打这个电话之前,

你想知道这种药物
在多大程度上延长了患者的生命。

有时,一项研究的结果

虽然在科学上是有效的,但
对现实世界的结果没有太大影响。

例如,
一项胰腺癌药物的真实临床试验

发现预期寿命增加
了 10 天。

下次你看到一个令人惊讶的医学
标题时,

看看
它所报道的科学。

即使无法免费获得完整的论文

您也经常可以

在免费提供的摘要中找到实验设计和结果的摘要,

甚至可以在
新闻文章的文本中找到。

看到新闻报道的科学研究令人兴奋,

了解研究结果也很重要