MayMetrics Analysis Inc.’s Post

When using data analysis to make predictions about the impact of policy changes, it's really important to understand the difference between correlation and causation. We emphasized this point in a report commissioned by the Newfoundland and Labrador government on the relationship between income, wealth and health. A link to the report is in the comments. The cartoon below summarizes it brilliantly.

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