WEBVTT 99:59:59.999 --> 99:59:59.999 One simple vitamin can reduce your risk of heart disease. 99:59:59.999 --> 99:59:59.999 Eating chocolate reduces stress in students. 99:59:59.999 --> 99:59:59.999 New drug prolongs lives of patients with rare disease. 99:59:59.999 --> 99:59:59.999 Health headlines like these are published every day, 99:59:59.999 --> 99:59:59.999 sometimes making opposite claims from each other. 99:59:59.999 --> 99:59:59.999 There can be a disconnect between broad, 99:59:59.999 --> 99:59:59.999 attention-grabbing headlines and the often specific, 99:59:59.999 --> 99:59:59.999 incremental results of the medical research they cover. 99:59:59.999 --> 99:59:59.999 So how can you avoid being misled by grabby headlines? 99:59:59.999 --> 99:59:59.999 The best way to assess a headline’s credibility 99:59:59.999 --> 99:59:59.999 is to look at the original research it reports on. 99:59:59.999 --> 99:59:59.999 We’ve come up with a hypothetical research scenario 99:59:59.999 --> 99:59:59.999 for each of these three headlines. 99:59:59.999 --> 99:59:59.999 Keep watching for the explanation of the first example; 99:59:59.999 --> 99:59:59.999 then pause at the headline to answer the question. 99:59:59.999 --> 99:59:59.999 These are simplified scenarios. 99:59:59.999 --> 99:59:59.999 A real study would detail many more factors and how it accounted for them, 99:59:59.999 --> 99:59:59.999 but for the purposes of this exercise, 99:59:59.999 --> 99:59:59.999 assume all the information you need is included. 99:59:59.999 --> 99:59:59.999 Let’s start by considering the cardiovascular effects 99:59:59.999 --> 99:59:59.999 of a certain vitamin, Healthium. 99:59:59.999 --> 99:59:59.999 The study finds that participants taking Healthium 99:59:59.999 --> 99:59:59.999 had a higher level of healthy cholesterol than those taking a placebo. 99:59:59.999 --> 99:59:59.999 Their levels became similar to those of people with naturally high levels 99:59:59.999 --> 99:59:59.999 of this kind of cholesterol. 99:59:59.999 --> 99:59:59.999 Previous research has shown that people with naturally high levels 99:59:59.999 --> 99:59:59.999 of healthy cholesterol have lower rates of heart disease. 99:59:59.999 --> 99:59:59.999 So what makes this headline misleading: 99:59:59.999 --> 99:59:59.999 Healthium reduces risk of heart disease. 99:59:59.999 --> 99:59:59.999 The problem with this headline is that the research didn’t actually investigate 99:59:59.999 --> 99:59:59.999 whether Healthium reduces heart disease. 99:59:59.999 --> 99:59:59.999 It only measured Healthium’s impact 99:59:59.999 --> 99:59:59.999 on levels of a particular kind of cholesterol. 99:59:59.999 --> 99:59:59.999 The fact that people with naturally high levels of that cholesterol 99:59:59.999 --> 99:59:59.999 have lower risk of heart attacks 99:59:59.999 --> 99:59:59.999 doesn’t mean that the same will be true 99:59:59.999 --> 99:59:59.999 of people who elevate their cholesterol levels using Healthium. 99:59:59.999 --> 99:59:59.999 Now that you’ve cracked the case of Healthium, 99:59:59.999 --> 99:59:59.999 try your hand at a particularly alluring mystery: 99:59:59.999 --> 99:59:59.999 the relationship between eating chocolate and stress. 99:59:59.999 --> 99:59:59.999 This hypothetical study recruits ten students. 99:59:59.999 --> 99:59:59.999 Half begin consuming a daily dose of chocolate, 99:59:59.999 --> 99:59:59.999 while half abstain. 99:59:59.999 --> 99:59:59.999 As classmates, they all follow the same schedule. 99:59:59.999 --> 99:59:59.999 By the end of the study, the chocolate eaters are less stressed 99:59:59.999 --> 99:59:59.999 than their chocolate-free counterparts. 99:59:59.999 --> 99:59:59.999 What’s wrong with this headline: 99:59:59.999 --> 99:59:59.999 Eating chocolate reduces stress in students 99:59:59.999 --> 99:59:59.999 It’s a stretch to draw a conclusion about students in general from a sample of ten. 99:59:59.999 --> 99:59:59.999 That’s because the fewer participants are in a random sample, 99:59:59.999 --> 99:59:59.999 the less likely it is that the sample will closely represent 99:59:59.999 --> 99:59:59.999 the target population as a whole. 99:59:59.999 --> 99:59:59.999 For example, if the broader population of students is half male and half female, 99:59:59.999 --> 99:59:59.999 the chance of drawing a sample of 10 99:59:59.999 --> 99:59:59.999 that’s skewed 70% male and 30% is about 12%. 99:59:59.999 --> 99:59:59.999 In a sample of 100 that would be less than a .0025% chance, 99:59:59.999 --> 99:59:59.999 and for a sample of 1000, 99:59:59.999 --> 99:59:59.999 the odds are less than 6 x 10^-36. 99:59:59.999 --> 99:59:59.999 Similarly, with fewer participants, 99:59:59.999 --> 99:59:59.999 each individual’s outcome has a larger impact on the overall results— 99:59:59.999 --> 99:59:59.999 and can therefore skew big-picture trends. 99:59:59.999 --> 99:59:59.999 Still, there are a lot of good reasons for scientists run small studies. 99:59:59.999 --> 99:59:59.999 By starting with a small sample, 99:59:59.999 --> 99:59:59.999 they can evaluate whether the results are promising enough 99:59:59.999 --> 99:59:59.999 to run a more comprehensive, expensive study. 99:59:59.999 --> 99:59:59.999 And some research requires very specific participants 99:59:59.999 --> 99:59:59.999 that may be impossible to recruit in large numbers. 99:59:59.999 --> 99:59:59.999 The key is reproducibility— 99:59:59.999 --> 99:59:59.999 if an article draws a conclusion from one small study, 99:59:59.999 --> 99:59:59.999 that conclusion may be suspect— 99:59:59.999 --> 99:59:59.999 but if it’s based on many studies that have found similar results, 99:59:59.999 --> 99:59:59.999 it’s more credible. 99:59:59.999 --> 99:59:59.999 We’ve still got one more puzzle. 99:59:59.999 --> 99:59:59.999 In this scenario, a study tests a new drug for a rare, fatal disease. 99:59:59.999 --> 99:59:59.999 In a sample of 2,000 patients, 99:59:59.999 --> 99:59:59.999 the ones who start taking the drug upon diagnosis live longer 99:59:59.999 --> 99:59:59.999 than those who take the placebo. 99:59:59.999 --> 99:59:59.999 This time, the question is slightly different. 99:59:59.999 --> 99:59:59.999 What’s one more thing you’d like to know before deciding if the headline, 99:59:59.999 --> 99:59:59.999 New drug prolongs lives of patients with rare disease, is justified? 99:59:59.999 --> 99:59:59.999 Before making this call, 99:59:59.999 --> 99:59:59.999 you’d want to know how much the drug prolonged the patients’ lives. 99:59:59.999 --> 99:59:59.999 Sometimes, a study can have results that, 99:59:59.999 --> 99:59:59.999 while scientifically valid, don’t have much bearing on real world outcomes. 99:59:59.999 --> 99:59:59.999 For example, one real-life clinical trial of a pancreatic cancer drug 99:59:59.999 --> 99:59:59.999 found an increase in life expectancy— of ten days. 99:59:59.999 --> 99:59:59.999 The next time you see a surprising medical headline, 99:59:59.999 --> 99:59:59.999 take a look at the science it’s reporting on. 99:59:59.999 --> 99:59:59.999 Even when full papers aren’t available without a fee, 99:59:59.999 --> 99:59:59.999 you can often find summaries of experimental design 99:59:59.999 --> 99:59:59.999 and results in freely available abstracts, 99:59:59.999 --> 99:59:59.999 or even within the text of a news articles. 99:59:59.999 --> 99:59:59.999 It’s exciting to see scientific research covered in the news, 99:59:59.999 --> 99:59:59.999 and important to understand the studies’ findings.