Stuff You Should Know:
Here are some questions to ask yourself when evaluating the weight and value of a study or one of those clickbait articles you see as you scroll through your social media feeds.
- Who / what was studied in this experiment? I think the most staggering nugget of information from the podcast was that most studies (80% according to a 2010 survey) used what is referred to as WEIRD test subjects. WEIRD stands for those who are Western-Educated from Industrialized, Rich and Democratic countries. What's worse is this demographic makes up only 12% of the world's population! That spells bad news bears when it comes to statistics. How many of our scientific proof is only indicating truth for 12% of the world? How broad of a stroke is the study painting from that information? It's not only misleading, it comes from a deep crevice of privilege perpetuating ignorance in those of us born lucky.
- How large is the sample size? Depending on what you're trying to prove, but the vast majority of studies done should be chalked up as "preliminary studies" for how small their sample size is. 12 people? nope, can't use those numbers. That doesn't carry any further than information about those 12 people.
- Is it repeatable? More importantly, has it been repeated? Often you will read about a study that shows such and such correlation. That scientist will get roses thrown at her feet and more plaques for her wall, but the scientist who retests it to confirm in a study independent of the first gets no funding and no glamour shots. With such a fast paced technology and engineering driven world, we want answers immediately. We pay extremely intelligent people to get us answers fast. Unfortunately, science is not fast. Clinical studies and lab research take years and years to come to a conclusion that can hold water. Without repeated testing, there is a 5% chance that any study will show a correlation just due to random chance. The media has a tendency to take and run with studies, and that 5% is a margin I am not comfortable with.
- Who is funding this study? Confirmation bias is a real thing, and if you have a multi-billion dollar company signing your checks, you have a bit of pressure to give complimentary results. Scientists will through out results and call them "outliers," but science is not something you can treat like a buffet. You have to take those nasty kalamata olives of test results in your salad whether it leaves a bad taste in your mouth or not.
I worked as a research assistant in college, and we had a course all about how to read scientific articles from academic journals. For the most part, you only read the abstract, sometimes the intro, and the conclusion to get an idea of what is in the journal. You only look further at the rest of the chicken scratch if you're trying to repeat the study or if you want to tear it apart. My professor gave me this snarky handout to help interpret the scientific muck:
And admittedly, when it came time for me to write my own academic paper on my research, I followed some of these same guidelines. I can't tell you how many drafts I re-wrote due to my supervisor telling me to spice it up with bigger words to prove my intelligence--whether I was saying anything or not.
My good friend John Oliver also has the hard and fast (and a wee bit explicit) version of what Josh and Chuck have to say too.
Please please listen to this podcast! It's great. If you can eat this stuff up, SYSK has another episode about The Scientific Method that acts as a good companion to this one.
Remember, you're a colander, not a sponge.
Do your homework and be an educated adult.
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