1 99:59:59,999 --> 99:59:59,999 Health headlines like these are published every day, 2 99:59:59,999 --> 99:59:59,999 sometimes making opposite claims from each other. 3 99:59:59,999 --> 99:59:59,999 There can be a disconnect between broad, 4 99:59:59,999 --> 99:59:59,999 attention-grabbing headlines and the often specific, 5 99:59:59,999 --> 99:59:59,999 incremental results of the medical research they cover. 6 99:59:59,999 --> 99:59:59,999 So how can you avoid being misled by grabby headlines? 7 99:59:59,999 --> 99:59:59,999 The best way to assess a headline’s credibility 8 99:59:59,999 --> 99:59:59,999 is to look at the original research it reports on. 9 99:59:59,999 --> 99:59:59,999 We’ve come up with a hypothetical research scenario 10 99:59:59,999 --> 99:59:59,999 for each of these three headlines. 11 99:59:59,999 --> 99:59:59,999 Keep watching for the explanation of the first example; 12 99:59:59,999 --> 99:59:59,999 then pause at the headline to answer the question. 13 99:59:59,999 --> 99:59:59,999 These are simplified scenarios. 14 99:59:59,999 --> 99:59:59,999 A real study would detail many more factors and how it accounted for them, 15 99:59:59,999 --> 99:59:59,999 but for the purposes of this exercise, 16 99:59:59,999 --> 99:59:59,999 assume all the information you need is included. 17 99:59:59,999 --> 99:59:59,999 Let’s start by considering the cardiovascular effects 18 99:59:59,999 --> 99:59:59,999 of a certain vitamin, Healthium. 19 99:59:59,999 --> 99:59:59,999 The study finds that participants taking Healthium 20 99:59:59,999 --> 99:59:59,999 had a higher level of healthy cholesterol than those taking a placebo. 21 99:59:59,999 --> 99:59:59,999 Their levels became similar to those of people with naturally high levels 22 99:59:59,999 --> 99:59:59,999 of this kind of cholesterol. 23 99:59:59,999 --> 99:59:59,999 Previous research has shown that people with naturally high levels 24 99:59:59,999 --> 99:59:59,999 of healthy cholesterol have lower rates of heart disease. 25 99:59:59,999 --> 99:59:59,999 So what makes this headline misleading: 26 99:59:59,999 --> 99:59:59,999 Healthium reduces risk of heart disease. 27 99:59:59,999 --> 99:59:59,999 The problem with this headline is that the research didn’t actually investigate 28 99:59:59,999 --> 99:59:59,999 whether Healthium reduces heart disease. 29 99:59:59,999 --> 99:59:59,999 It only measured Healthium’s impact 30 99:59:59,999 --> 99:59:59,999 on levels of a particular kind of cholesterol. 31 99:59:59,999 --> 99:59:59,999 The fact that people with naturally high levels of that cholesterol 32 99:59:59,999 --> 99:59:59,999 have lower risk of heart attacks 33 99:59:59,999 --> 99:59:59,999 doesn’t mean that the same will be true 34 99:59:59,999 --> 99:59:59,999 of people who elevate their cholesterol levels using Healthium. 35 99:59:59,999 --> 99:59:59,999 Now that you’ve cracked the case of Healthium, 36 99:59:59,999 --> 99:59:59,999 try your hand at a particularly alluring mystery: 37 99:59:59,999 --> 99:59:59,999 the relationship between eating chocolate and stress. 38 99:59:59,999 --> 99:59:59,999 This hypothetical study recruits ten students. 39 99:59:59,999 --> 99:59:59,999 Half begin consuming a daily dose of chocolate, 40 99:59:59,999 --> 99:59:59,999 while half abstain. 41 99:59:59,999 --> 99:59:59,999 As classmates, they all follow the same schedule. 42 99:59:59,999 --> 99:59:59,999 By the end of the study, the chocolate eaters are less stressed 43 99:59:59,999 --> 99:59:59,999 than their chocolate-free counterparts. 44 99:59:59,999 --> 99:59:59,999 What’s wrong with this headline: 45 99:59:59,999 --> 99:59:59,999 Eating chocolate reduces stress in students 46 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. 47 99:59:59,999 --> 99:59:59,999 That’s because the fewer participants are in a random sample, 48 99:59:59,999 --> 99:59:59,999 the less likely it is that the sample will closely represent 49 99:59:59,999 --> 99:59:59,999 the target population as a whole. 50 99:59:59,999 --> 99:59:59,999 For example, if the broader population of students is half male and half female, 51 99:59:59,999 --> 99:59:59,999 the chance of drawing a sample of 10 52 99:59:59,999 --> 99:59:59,999 that’s skewed 70% male and 30% is about 12%. 53 99:59:59,999 --> 99:59:59,999 In a sample of 100 that would be less than a .0025% chance, 54 99:59:59,999 --> 99:59:59,999 and for a sample of 1000, 55 99:59:59,999 --> 99:59:59,999 the odds are less than 6 x 10^-36. 56 99:59:59,999 --> 99:59:59,999 Similarly, with fewer participants, 57 99:59:59,999 --> 99:59:59,999 each individual’s outcome has a larger impact on the overall results— 58 99:59:59,999 --> 99:59:59,999 and can therefore skew big-picture trends. 59 99:59:59,999 --> 99:59:59,999 Still, there are a lot of good reasons for scientists run small studies. 60 99:59:59,999 --> 99:59:59,999 By starting with a small sample, 61 99:59:59,999 --> 99:59:59,999 they can evaluate whether the results are promising enough 62 99:59:59,999 --> 99:59:59,999 to run a more comprehensive, expensive study. 63 99:59:59,999 --> 99:59:59,999 And some research requires very specific participants 64 99:59:59,999 --> 99:59:59,999 that may be impossible to recruit in large numbers. 65 99:59:59,999 --> 99:59:59,999 The key is reproducibility— 66 99:59:59,999 --> 99:59:59,999 if an article draws a conclusion from one small study, 67 99:59:59,999 --> 99:59:59,999 that conclusion may be suspect— 68 99:59:59,999 --> 99:59:59,999 but if it’s based on many studies that have found similar results, 69 99:59:59,999 --> 99:59:59,999 it’s more credible. 70 99:59:59,999 --> 99:59:59,999 We’ve still got one more puzzle. 71 99:59:59,999 --> 99:59:59,999 In this scenario, a study tests a new drug for a rare, fatal disease. 72 99:59:59,999 --> 99:59:59,999 In a sample of 2,000 patients, 73 99:59:59,999 --> 99:59:59,999 the ones who start taking the drug upon diagnosis live longer 74 99:59:59,999 --> 99:59:59,999 than those who take the placebo. 75 99:59:59,999 --> 99:59:59,999 This time, the question is slightly different. 76 99:59:59,999 --> 99:59:59,999 What’s one more thing you’d like to know before deciding if the headline, 77 99:59:59,999 --> 99:59:59,999 New drug prolongs lives of patients with rare disease, is justified? 78 99:59:59,999 --> 99:59:59,999 Before making this call, 79 99:59:59,999 --> 99:59:59,999 you’d want to know how much the drug prolonged the patients’ lives. 80 99:59:59,999 --> 99:59:59,999 Sometimes, a study can have results that, 81 99:59:59,999 --> 99:59:59,999 while scientifically valid, don’t have much bearing on real world outcomes. 82 99:59:59,999 --> 99:59:59,999 For example, one real-life clinical trial of a pancreatic cancer drug 83 99:59:59,999 --> 99:59:59,999 found an increase in life expectancy— of ten days. 84 99:59:59,999 --> 99:59:59,999 The next time you see a surprising medical headline, 85 99:59:59,999 --> 99:59:59,999 take a look at the science it’s reporting on. 86 99:59:59,999 --> 99:59:59,999 Even when full papers aren’t available without a fee, 87 99:59:59,999 --> 99:59:59,999 you can often find summaries of experimental design 88 99:59:59,999 --> 99:59:59,999 and results in freely available abstracts, 89 99:59:59,999 --> 99:59:59,999 or even within the text of a news articles. 90 99:59:59,999 --> 99:59:59,999 It’s exciting to see scientific research covered in the news, 91 99:59:59,999 --> 99:59:59,999 and important to understand the studies’ findings.