Asbestos, climate change, 5G, coronavirus - the public is caught in a battle for the truth. Science is being manipulated and undermined to sway opinion and...
Bayesian logic. Basically take information into account with a degree of credibility, but without considering that it is merely true or false. It’s simple really.
Bayes’ theorem doesn’t mean “don’t believe anything”, you highschool dropout. It is a method of statistical analysis. Specifically, is a method of determining which unknown events are most likely connected to a known event based on the limited information we have. It’s not a general logical framework, and certainly doesn’t work the way you described it. In fact, it literally requires believing in some kind of first principle as a foundation from which you can then extrapolate the likelihood of the unknown. Expanded further since his death, the general idea of Bayesian inferencing requires repeatedly updating your assumptions based on new information. So it certainly doesn’t mean believe nothing; if anything, it means “believe the current thing until proven otherwise”.
Ah, personal attacks, the sign of honesty and strong argumentation. Are you okay?
I never said to not believe in anything. Anything requires axioms including Bayesian epistemology, and that’s a nice strawman you tried to build. I said not to believe in science, as the point of science is to approach truths of reality without getting influenced by beliefs; believing in science as if it is just “truth provider” defeats the purpose as science itself tells to not believe it.
Trying to paint that as “don’t believe anything” is absurd and dishonest.
Ah, personal attacks, the sign of honesty and strong argumentation. Are you okay?
I have zero patience for pseudo-intellectualism.
I said not to believe in science, as the point of science is to approach truths of reality without getting influenced by beliefs; believing in science as if it is just “truth provider” defeats the purpose as science itself tells to not believe it.
That is not the point of science. Science does not “tell us to not believe it.” What podcast did you hear that on?
So you need patience to avoid being manipulative? Okay.
The point of science is to constantly attack what is considered to be true as a way to validate or invalidate it. That’s the point of the scientific protocol, to do your best to prove something wrong, and upon failure to consider that it might be true until proven wrong. You don’t go all “I think the earth is flat so I’ll do my best to find arguments as to why it is flat”.
You don’t go all “I think the earth is flat so I’ll do my best to find arguments as to why it is flat”.
That would definitionally not be believing in science, because that would be an entirely unscientific approach. Believing in science would lead you to do the opposite of this, actually.
Science has many biases, for decades “science” said that cigarettes were healthy, studies said that GMOs caused cancer, and only time showed those to be wrong. Believing in science means that you consider that the conclusions of current science are necessarily right, which is wrong. And science itself does not consider that it is always right.
Scientific consensus was never that cigarettes were healthy. Advertisers pretended it did, and you clearly fell for the ruse.
Consensus was never that GMOs caused cancer. There’s no proven study that established that link.
And lastly, “science itself does not consider that it is always right” makes no sense as a statement. Are you trying to say that science reflects our ever-changing understanding, and thus we must always be ready to update our beliefs when presenting with new information? Because it that’s your point, then one, you are extremely bad at expressing what you mean, and two, that means you believe in science.
Bayesian logic. Basically take information into account with a degree of credibility, but without considering that it is merely true or false. It’s simple really.
Bayes’ theorem doesn’t mean “don’t believe anything”, you highschool dropout. It is a method of statistical analysis. Specifically, is a method of determining which unknown events are most likely connected to a known event based on the limited information we have. It’s not a general logical framework, and certainly doesn’t work the way you described it. In fact, it literally requires believing in some kind of first principle as a foundation from which you can then extrapolate the likelihood of the unknown. Expanded further since his death, the general idea of Bayesian inferencing requires repeatedly updating your assumptions based on new information. So it certainly doesn’t mean believe nothing; if anything, it means “believe the current thing until proven otherwise”.
Ah, personal attacks, the sign of honesty and strong argumentation. Are you okay?
I never said to not believe in anything. Anything requires axioms including Bayesian epistemology, and that’s a nice strawman you tried to build. I said not to believe in science, as the point of science is to approach truths of reality without getting influenced by beliefs; believing in science as if it is just “truth provider” defeats the purpose as science itself tells to not believe it. Trying to paint that as “don’t believe anything” is absurd and dishonest.
I have zero patience for pseudo-intellectualism.
That is not the point of science. Science does not “tell us to not believe it.” What podcast did you hear that on?
So you need patience to avoid being manipulative? Okay.
The point of science is to constantly attack what is considered to be true as a way to validate or invalidate it. That’s the point of the scientific protocol, to do your best to prove something wrong, and upon failure to consider that it might be true until proven wrong. You don’t go all “I think the earth is flat so I’ll do my best to find arguments as to why it is flat”.
That would definitionally not be believing in science, because that would be an entirely unscientific approach. Believing in science would lead you to do the opposite of this, actually.
Science has many biases, for decades “science” said that cigarettes were healthy, studies said that GMOs caused cancer, and only time showed those to be wrong. Believing in science means that you consider that the conclusions of current science are necessarily right, which is wrong. And science itself does not consider that it is always right.
None of what you just said is correct.
Scientific consensus was never that cigarettes were healthy. Advertisers pretended it did, and you clearly fell for the ruse.
Consensus was never that GMOs caused cancer. There’s no proven study that established that link.
And lastly, “science itself does not consider that it is always right” makes no sense as a statement. Are you trying to say that science reflects our ever-changing understanding, and thus we must always be ready to update our beliefs when presenting with new information? Because it that’s your point, then one, you are extremely bad at expressing what you mean, and two, that means you believe in science.