In science, "statistically significant" is the effect that can be picked up with a particular statistical tool called a p-value. A good p-value (or calculated probability) is arbitrary and can vary between scientific fields. The cut-off for statistically significant is a p-value of 0.05.
One problem is that if you run a study multiple times or do a whole bunch of different statistical analyses on the same data, your results could look meaningful purely by chance.
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One type of conflict of interest is financial. It could be someone who received funding from a company with a vested interest in the study's outcome. Or that person has a relationship with the company that could lead to benefits in the future.
A recent analysis found t...
A hypothesis is often the first step of the scientific method. It is a proposed and still-unproven explanation that can be tested through experiments and observations.
In science, a theory is a widely accepted idea backed by data, observ...
The world is full of evidence and studies, some good and some poor.
If you are looking at a clinical trial, a psychology study, or an animal study, it must be a randomized, placebo-controlled, double-blind study.
Studies can suffer from selection bias when people are recruited from a specific group that are not representative of the whole. Scientists select a smaller group to study, but the chosen set isn't random enough and is therefore somehow biased in favor of a specific outcome of th...
In a peer review system, independent, anonymous experts read over a paper submitted to a journal. They can recommend revisions to the text, new experiments that should be added, or even that the journal shouldn't publish the paper.
But reviewers aren't asked to ensure that...
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