Can you spot the problem with these headlines? (Level 1) - Jeff Leek & Lucy McGowan

491,048 views ・ 2019-05-21

TED-Ed


Please double-click on the English subtitles below to play the video.

00:11
"New drug may cure cancer."
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"Aspirin may reduce risk of heart attacks."
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"Eating breakfast can help you lose weight."
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Health headlines like these flood the news,
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often contradicting each other.
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So how can you figure out what’s a genuine health concern
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or a truly promising remedy,
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and what’s less conclusive?
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In medicine,
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there’s often a disconnect between news headlines
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and the scientific research they cover.
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That’s because a headline is designed to catch attention—
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it’s most effective when it makes a big claim.
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By contrast,
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many scientific studies produce meaningful results
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when they focus on a narrow, specific question.
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The best way to bridge this gap
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is to look at the original research behind a headline.
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We’ve come up with a simplified research scenario
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for each of these three headlines to test your skills.
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Keep watching for the explanation of the first study;
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then pause at the headline to figure out the flaw.
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Assume all the information you need to spot the flaw is included.
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Let’s start with this hypothetical scenario:
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a study using mice to test a new cancer drug.
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The study includes two groups of mice,
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one treated with the drug, the other with a placebo.
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At the end of the trial,
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the mice that receive the drug are cured,
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while those that received the placebo are not.
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Can you spot the problem with this headline:
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"Study shows new drug could cure cancer"
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Since the subjects of the study were mice,
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we can’t draw conclusions about human disease based on this research.
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In real life, early research on new drugs and therapies is not conducted on humans.
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If the early results are promising,
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clinical trials follow to determine if they hold up in humans.
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Now that you’ve warmed up,
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let’s try a trickier example:
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a study about the impact of aspirin on heart attack risk.
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The study randomly divides a pool of men into two groups.
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The members of one group take aspirin daily,
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while the others take a daily placebo.
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By the end of the trial,
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the control group suffered significantly more heart attacks
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than the group that took aspirin.
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Based on this situation, what’s wrong with the headline:
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"Aspirin may reduce risk of heart attacks"
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In this case, the study shows evidence that aspirin reduces heart attacks in men,
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because all the participants were men.
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But the conclusion “aspirin reduces risk of heart attacks” is too broad;
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we can’t assume that results found in men would also apply to women.
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Studies often limit participants based on geographic location, age, gender,
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or many other factors.
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Before these findings can be generalized,
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similar studies need to be run on other groups.
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If a headline makes a general claim,
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it should draw its evidence from a diverse body of research, not one study.
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Can you take your skills from the first two questions to the next level?
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Try this example about the impact of eating breakfast on weight loss.
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Researchers recruit a group of people who had always skipped breakfast
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and ask them to start eating breakfast everyday.
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The participants include men and women of a range of ages and backgrounds.
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Over a year-long period,
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participants lose an average of five pounds.
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So what’s wrong with the headline:
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"Eating breakfast can help you lose weight"
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The people in the study started eating breakfast and lost weight—
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but we don’t know that they lost weight because they started eating breakfast;
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perhaps having their weight tracked
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inspired them to change their eating habits in other ways.
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To rule out the possibility that some other factor caused weight loss,
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we would need to compare these participants
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to a group who didn’t eat breakfast before the study
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and continued to skip it during the study.
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A headline certainly shouldn’t claim the results of this research
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are generally applicable.
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And if the study itself made such a claim without a comparison group,
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then you should question its credibility.
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Now that you’ve battle-tested your skills
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on these hypothetical studies and headlines,
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you can test them on real-world news.
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Even when full papers aren’t available without a fee,
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you can often find summaries of experimental design and results
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in freely available abstracts,
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or even within the text of a news article.
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Individual studies have results
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that don’t necessarily correspond to a grabby headline.
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Big conclusions for human health issues
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require lots of evidence accumulated over time.
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But in the meantime,
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we can keep on top of the science, by reading past the headlines.
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