01 January 1970 1 7K Report

There is a current irreproducibility crisis in biological areas, where a well-known journal editor declared that, for example, neuroscience would advance if all articles were destroyed. The reason is that more than half of such articles are irreproducible or just provably wrong [1].

There is also a movement, visible in RG but not exclusively, that uses scientific terms, such as doubt, to deny science. It is similar to an auto-imune disease. Any logical or experimental argument can then be neutralized as "belief", "unscientific propaganda", "hoax", or "fake news" . Doubt, to them, seems like a technical term, just as "steam cleaning". There is no steam in "steam cleaning", it is just hot water.

Thus, how to insert scientific doubt in this context? As a constant denial? As a cure to irreproducibility, in any science?

Doubt is necessary in science, until you have proof. You should, then, still question the proof, in the process, but nature is the arbiter in natural science, and intellect in maths. After that, one has to have the mental discipline in science to follow beyond the proof, to where it may go. There is no "constant doubt" to what is proven twice, by nature and mind, many times over and by varied researchers, in physics.

It may happen that -- even then -- a factor is overlooked, a result is wrong. But, exactly by forging forward we can find the future inconsistencies, which we do not condemn, or the people. We value them as a door, even as a small keyhole, that let us see what is beyond the door, the wormhole that links different realities, and we find new proofs, go further.

We need to discard knowledge, even published articles, that are not correct, so science would have better chance advance.

Physics has a much better track record, and better venues, where all is read and used, it is a very competitive area, but some papers "jump the shark" and have a shorter lifetime -- the USPTO, for example, does not examine anymore patents on perpetual motion, or any such "exciting" experiment. [2]

So, as a subject in semiotics, a word is not what "I mean" -- or any single individual means -- but what the more objective social computation reveals, a collective effect, and what is avoided confusion, in the real world. [3]

That does not mean any term or experiment is "wrong," just more contradictory in some cases, showing what does not exist, if it does not work in real cases. And that does not mean one is in contradiction about the nnatural science, either -- may just not express it coherently.

Science cannot prove truth, but helps everyone get closer.

[1] Presentation The Big Idea in Physics and Science: The Absolute

[2] The good, important message of physics, is that some papers work, others don't, and both are impartial -- for friends and foes alike. Nature is impartial, fair like a coin toss. The same rain that damages the seed of a farmer that were drying, is the rain that makes another farmer's seeds grow -- but the rain is fair, neutral. The notion of useful, however, is partial -- useful to which farmer?

For example, writing that "comoving observers have the same velocity and position" is as defined by copy from standard use, not by one person, it is in standard use in cosmology, the SR, and Newtonian mechanics. This has the benefit of avoiding fruitless arguments, by students or readers, such as in SR incorrect articles, published papers but incorrect. It also connects well with cosmology, and the CMB. A particular use can be different and special, which is also allowed. One just cannot draw logical conclusions in physics, for it.

[3] Paraphrasing  one of Frege's examples, if I tell you "I will photograph the Morning Star" or if I tell you "I will photograph the Evening Star"  then, clearly, the two phrases have the same reference (i.e., the planet Venus) but one describes it as the last celestial body to disappear at dawn and the other as the first one to appear at dusk -- thus, they have different senses or meanings.

In Ed Gerck, Technical Report Toward Real-World Models of Trust: Reliance on Received Information

1998.

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