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Hidden Biases in Health Surveys: Who Is Really at Risk for Heart Disease?

You've probably seen headlines that say heart disease affects everyone equally. But what if the data we rely on is hiding the truth? County-level health surveys, like the ones used to guide public health decisions, might not tell the whole story. They could be masking real disparities by race and sex. In this project, you'll dig into the numbers yourself—comparing survey estimates with actual mortality data. You might find that some groups are at higher risk than the surveys suggest. Why does this matter? Because if we're using flawed data, we could be missing the people who need help the most. Get ready to question the stats you see every day and uncover the hidden biases in public health.

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  Think of a time when a survey or poll you saw didn't match your own experience. What was the topic, and why did it feel off?

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  Have you ever noticed that health information (like heart disease risk) seems to target certain groups more than others? Which groups come to mind?

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  If you were in charge of collecting data on heart disease in your community, what's one thing you'd do to make sure the data is accurate for everyone?