Maybe, but let's understand that the scientific method is a wonderful tool for searching for the truth, and the scientific community is right a lot of the time --arguably most of the time. After that we come to the point where we realize that both the scientific community and the scientific method are limited, and it's our job to figure out what to do when we run into things where the science doesn't apply.
I agree with that.
The question I have is how does the statistical approach to science and to theory verification, affect theory and evidence? If you have two sharp data points, there is only one line length, at one angle, that connects those two sharp points. If you have two fuzzy data points, like we have in statistical experiments, the slope and length of the connecting line can both vary.
For example, Einstein's theories of Relativity have been tested and retested and there are no exceptions. If there was one data point, that did not touch, this discovery would shake the science and physics communities to the core. When you do statistical studies, half the data does not even have to touch the curve. This allows any theory a way to linger. This cheapens theory.
For example, a statistical study may say that too much salt will give you high blood pressure. Say I liked salt, but my blood pressure stays normal. I have falsified the theory, so why is the theory allowed to linger?
As another example, COVID was a very deadly virus with over 1 million people dead world wide. What about the 8 billion people who are still with us? it appears the data against being deadly; falsified, far outweigh the prediction of the deadly, yet the theory gets to linger.
The answer is fuzzy dice science often makes use of emotions, such as fear, with emotion not part of old time science. You cannot be fully objective when you get too emotional, which is why science depends on external evidence like 8 billion people who are still with us. If you are too emotional, you will not see this, due to being focused on the boogeyman, who might get you, if you look away.
Has this statistical approach watered down science and science theory, compared to a time when rational and math logic led science, and emotion was not part of a theory's charm; fear? The state of the art in Physics, today, was done by the 1920's, with the rest, to the present, more or less derivative; post water down.
This is why I am not sure how should we define contemporary science, that uses a watered down standard of evidence, that can keep any theory on life support, using emotions to interface it to politics, gambling and marketing. Winning a lottery, although unlikely, still gives us hope of a good outcome; feelings. While politicians sell and make promise which they do not keep. What are the odds of that?
Would science get better if we did not allow the watered down standard that conflicts with sharp data point evidence and cause and affect?