Public health is worsening, autism rates are rising — and so are incident conspiracy theories, including claims that the root of the autism evil is vaccines. As the CDC reopens the vaccine-link debate ...

Correctly distinguishing between correlation and causation is critical because it influences how treatments for illnesses are devised and tested. Also, in the context of the law, it ensures that as ...

Examples of topics that may be appropriate for this requirement include decision-making in personal finance and in health care, randomness in data, correlation and causation, extrapolation and ...

If Correlation Does Not Mean Causation, How Do Scientists Prove Stuff? The scientific method has evolved to include various ways to establish probable causal relationship and to work these likely ...

Chocaholic nations win more Nobel Prizes, but that doesn’t mean much. It’s easy to link two things – the hard part is working out which one causes the other.

Learn the definitions, examples, and pitfalls of correlation and causation, and how to use methods and tools to identify and test causal relationships in data analysis.

We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These ...

Correlation in Action A great example of how your organization might be confusing correlation with causation is in the world of digital marketing.

It’s a scientist’s mantra: Correlation does not imply causation. But sometimes wrong feels so right.

"Correlation does not imply causation" is a basic motto of science. Every scientist knows that observing a correlation between two things doesn't necessarily mean that one of them causes the other.