Data Science Explainer

What’s wrong with this data?

We could easily spend years talking about all the possible problems with data, but that's not particularly helpful when you have a dataset, or someone else's analysis, in front of you here and now. So what are some simple questions you can ask about quantitative data to figure out whether you can trust it or not?

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What if…

Imagine if there was a disease that became endemic. A virus that was unavoidable, that everyone gets, over and over. And imagine if that virus, if it didn't prove fatal, stole just a little every time. A bit of energy here. A bit of immune function there. A bit of cognitive function somewhere else. Imagine what the impact of that might be on society, on workplaces, on people. Then look around you. What do you see? Do you see a new level of struggle? Of systems, and people, cracking under the strain?