From the course: Learning Data Science
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Challenge evidence
From the course: Learning Data Science
Challenge evidence
- You've seen that one of the best ways of finding interesting questions is looking for hidden assumptions. Then you've seen the dangers of flawed reasoning. Errors in reasoning can have a chilling effect when looking for good questions. Now the team can think about asking critical questions about the facts that you might take for granted. When you're in a data science team, each time you encounter a fact, you just start with three questions. Should we believe it? Is there evidence to support it? How good is the evidence? Evidence is well-established data that you can use to prove some larger fact. You shouldn't think of evidence as proving or disproving the facts. Instead, try to think of the evidence as being stronger or weaker. There's stronger evidence that eating too much sugar is bad for your health. There's weaker evidence that honey is healthier than sugar. When you're working in your data science team, you should see all kinds of well-established facts. Each of them might…
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