In: Computer Science
share a real-life example where you find it difficult to determine which factors correlate and which are causes of an outcome. The outcome can be positive or negative outcomes.
`Hey,
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The Healthy Worker Effect, where sometimes two groups cannot be directly compared on a level playing field.
Consider a hypothetical study comparing the health of a group of office-workers with the health of a group of astronauts. If the study shows no significant difference between the two – no correlation between healthiness and working environment – are we to conclude that living and working in space carries no long-term health risks for astronauts?
No! The groups are not on the same footing: the astronaut corps screen applicants to find healthy candidates, who then maintain a comprehensive fitness regime in order to proactively combat the effects of living in “microgravity”.
We would, therefore, expect them to be significantly healthier than office workers, on average, and should rightly be concerned if they were not.
In this it is pretty difficult to guess actually which parameter correlates and which causes an outcome.
Kindly revert for any queries
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