Data Science x Public Health
This podcast discusses the concepts of data science and public health, and then delves into their intersection, exploring the connection between the two fields in greater detail.
Data Science x Public Health
Everyone Uses Confidence Intervals… But They Fail When Precision Is Confused With Truth
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Confidence intervals are everywhere in research. They are supposed to show uncertainty, improve interpretation, and give more context than a single point estimate. But what if confidence intervals are creating a false sense of certainty instead?
In this episode, we break down what confidence intervals actually mean, why narrow intervals can still be misleading, and how people in research, medicine, and public health often confuse precision with truth. If you read scientific papers or work with data, this is a concept you need to understand.
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