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Researching vaccines the right way – the hierarchy of biomedical research

I have made it a point of many articles that anti-vaxxers are not really researching vaccines. They are using logical fallacies, such as cherry-picking, misreading medical research, or anything else instead of really doing research the right way.

Before anyone should take on the scientific consensus on a topic, like vaccines, researching must include an understanding of what is called the hierarchy of biomedical research. It describes what are gold (or even platinum) standards of research. And which of them are nearly worthless.

I am a scientific skeptic. It means that I pursue published scientific evidence to support or refute a scientific or medical principle. I am not a cynic, often conflated with skepticism. I don’t have an opinion about these ideas. Scientific skepticism depends on the quality and quantity of evidence that supports a scientific idea. And examining the hierarchy of scientific evidence can be helpful in deciding what is good data and what is bad. What can be used to form a conclusion, and what is useless.

That’s how science is done. And I use the hierarchy of scientific evidence to weigh the quality along with the quantity of evidence in reaching a conclusion. I am generally offended by those who push pseudoscience – they nearly always try to find evidence that supports their predetermined beliefs. That’s not science, it’s actually the opposite of good science.

Unfortunately, in today’s world of instant news made up of memes and a couple of hundred character analyses flying across social media that make it difficult to determine what is real science and what is not. Sometimes we create an internal false balance, assuming that headlines (often written to be clickbait) on one side are somehow equivalent to another side. So, we think there’s a scientific debate when there isn’t one.

When I write about a topic, I attempt to write detailed, thoughtful, and nuanced (with a touch of snark) articles about scientific ideas. I know they can be complex and long-winded, but I also know science is hard. It’s difficult.

Sorry about that, but if it were so easy, everyone on the internet would be doing science – and we see that most of what we find on the internet that claims to be science is not. Unfortunately, there are too many people writing on the internet who think they are talking about science, but they fail to differentiate between good and bad evidence.

But there is a way to make this easier. Not easy, just easier. This is my guide to amateur (and if I do a good job, professional) methods to evaluate biomedical research quality across the internet.

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