But practically you need to associate cause and effect and lack of cause and lack of effect. That is two associations, and in one association the experimenter himself must deliberately influence the experiment.
This verifies cause from a practical perspective. From a technical perspective causation was not verified. Because technically you need to verify both effect and lack of effect from one population on the same event and the only way to do that is time travel.
We influenced the experiment by creating the causation but by doing that we can no longer know what would’ve happened if we didn’t create the causative precursor and thus we can never truly know if the event actually caused the effect.
Technically sometimes causation can be verified. Say you break your arm in a car crash - it's pretty clear what caused what. I'll give you that with things like gut problems and Parkinson's it's tricker.
It really isn't. Maybe your arm was osteoporotic or weak from a prior incident, and it broke due to a trivial pressure injury when the ambulance workers were loading you into the ambulance.
The point is that it's pretty clear only when it can be mathematically proven, and at all other times it's based on some idea of probability. In the case of this article, a causal association seems quite probable to me.
I’m of course referring to formal verification. Which means give me 100 percent concrete proof the car crash was causative. This is science and this is what all of science strives and ultimately fails to achieve.
For your example you didn’t prove anything. You gave me an arbitrary example and hoped I would understand your point through an example. I do understand your point but you failed to understand my point.
Your example is only an empathic offering of understanding but it doesn’t offer proof of your statement. Show me a formal proof of something that was causative. Anything.
You will find that on multiple levels of resolution not only can causation not be formally proven but that science can never prove anything in reality. Proof is the domain of maths and logical games of axioms and theorems we play with arbitrary rules, it does not actually apply to reality.
But practically you need to associate cause and effect and lack of cause and lack of effect. That is two associations, and in one association the experimenter himself must deliberately influence the experiment.
This verifies cause from a practical perspective. From a technical perspective causation was not verified. Because technically you need to verify both effect and lack of effect from one population on the same event and the only way to do that is time travel.
We influenced the experiment by creating the causation but by doing that we can no longer know what would’ve happened if we didn’t create the causative precursor and thus we can never truly know if the event actually caused the effect.