Statistical pitfalls in GWAS can result in misleading conclusions about whether some traits (like long horns or spotted skin, in the case of dinosaurs) are genetically linked.
People don’t randomly select who they have children with. And that means an underlying assumption in research that tries to link particular genes to certain diseases or traits is wrong.
How can something be bad for you one day, and good for you the next? This study highlights the problem of correlation and causation.
The real message is how old you are when you first have sex and have your first child is controlled by a little bit of nature and a lot of nurture.
If what you’re reading seems too good to be true, it just might be.
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Whenever you hear about a new bit of science news, these suggestions will help you assess whether it’s more fact or fiction.
It can be difficult to work out whether you should believe a study’s reported findings.
Wondering if that latest study finding is too good to be true, or whether it’s as bad as we’re told? Here are five questions to ask to help you assess the evidence.
Caesarean delivery alone does not contribute to the odds of a child developing autism or ADHD.
A new study has found a link between being born by caesarean section and having a greater chance of being diagnosed with autism or ADHD. But there’s no evidence caesarean sections cause them.
If it seems too good to be true, maybe it is.
Shrewd media consumers think about these three statistical pitfalls that can be the difference between a world-changing announcement and misleading hype.
How accurately can you be profiled online?
An email from Aleksandr Kogan sheds light on exactly how much your Facebook data reveals about you, and what data scientists can actually do with that information.
Where are the error bars?
Here are some all-too-common errors when it comes to interpreting statistics, and how to avoid them.
Media predictions aren’t usually great, but those from 2015 were historically bad.
As the talking heads line up to predict this season’s division winners, many are hoping fans will forget their abysmal forecasts for the 2015 season.
An example of unidirectional cause and effect: bad weather means umbrella sales rise, but buying umbrellas won’t make it rain.
UNDERSTANDING RESEARCH: What do we actually mean by research and how does it help inform our understanding of things? Today we look at the dangers of making a link between unrelated results. Here’s an…