[WmyEE0UsWAwC2i]

When someone mentions correlation, they imply a linear relation between the correlated variables and a range of values for which that relation is valid.

Only when that model is further validated correlation suggests causation.

[IshKebab]

> When someone mentions correlation, they imply a linear relation between the correlated variables and a range of values for which that relation is valid.

Yeah that's what correlation means?

> Only when that model is further validated correlation suggests causation.

No! It suggests causation already. There may not be causation but it definitely suggests it.

For example if I find that eating fast food correlates with BMI then there's a pretty clear suggestion that eating fast food causes increased BMI. It might not be the case! But it's clearly very suggestive.

[WmyEE0UsWAwC2i]

I believe I understand your point, but there these options (as I see things):

1. There is little correlation, but there is actual causation (e.g: a cricle)

2. There is correlation, but it turns out to be a fluke later during validation.

So, yes. It suggests but in both cases I'd rather continue checkcing