Guess the correlation

It stops when you lose all 3 hearts by getting 3 badly wrong in quick succession.
As well as showing the effect of outliers, I think it also illustrates how similar the patterns look in the bottom half of the range, so a correlation of 0.4 looks to me very much like a correlation of 0.1. And to me 0.4 often looks much like 0.6. This probably partly indicates that my eye naturally eliminates outliers and focuses on the mass in the middle, and that the formula gives too much weight to outliers, or it could suggest that the eye deceives and I need the formula to help spot subtle trends.

My inclination is to the former. If I can't see a definite trend visually in the whole mass of data, not just a few outliers, then in the real world there probably isn't one of clinical significance, and if a correlation is marginally statistically significant and a correlation is being claimed, then perhaps the data is being over interpreted to suit the researcher's purposes.
 
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