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History is not a science

I don't mean anything bad by this. Here's the thing, there are three kinds of evidence: legal, rational and scientific.

Legal evidence is that which we've agreed to treat as admissible in court. If a police commissioner has heard a witness implicate a perpetrator, he's justifed in increasing his own (private) confidence that the perpetrator is guilty – he has rational evidence for it – but if the witness doesn't want to go to court and leave testimony under oath, this cannot be used as legal evidence.

[ Venn diagram: Rational evidence as a big circle, and the other two as small circles inside it with some overlap with each other. ]

Now, scientific evidence is often taken to be replicable evidence, such as a measurement, or an experiment that can be repeated. Rather than stretch the definition of "science" to cover the cases where this is not possible, I think it's ok to say some things aren't science. For words to be useful, they need narrow definitions.

For history, there is generally no repeatable experiment that can be done. What is history? It's an edifice of inferences drawn from facts that don't individually say a whole lot on the surface. You dig up an ancient urn, you can't dig up another on demand. The urn doesn't say anything about the past except in the presence of other knowledge that you have. So to infer anything about the past from looking at the urn, you are heavily reliant on prior knowledge, which itself was inferred in the same way, so any historical "fact" really comes from a long chain of reasoning.

The conclusions from this chain of reasoning can in turn be used in new chains of reasoning, until you have a whole network of conclusions feeding into each other. These conclusions work as rational evidence (if you're confident that your fellow historians did their job well), but they don't rate as scientific evidence.

That's not a ding against the field of history – since scientific evidence will forever be impossible in that field, it's a hard field to work in. It's fragile to errors of reasoning, because it won't be obvious that you inferred the wrong facts. You could conceivably have networks of historical "facts" that are circular/unsubstantiated. See it like building a tower. If you get the masonry wrong near the bottom, everything above that may go tumbling to the ground. Change the interpretation of one ancient urn and your chain of reasoning could've went off in a totally different direction. So if you fancy yourself a logical thinker, you could make a difference in history research.

Leave natural sciences to the amateurs, they're not that hard because Nature will tell you when you're wrong. (Cosmology is one of few exceptions…?) We need smart people in history and social sciences, we need the ones capable of saying "wait, that can't be right" and reject their own theories even as Nature remains silent.

What links here

Created (3 years ago)

Portal: History arcs

try org-transclusion under each of these?

More

Human rights

Slow progress of human rights. Slave ownership was normal for a long time. Philosophers tended to be open-minded – many ancient philosophers like Stoics and Daoists viewed slaves and women the same as free men. Philosophy is after all "the discipline that makes you more impressed with the poor than with kings" – though this expression was used to mock philosophers.

Somewhat damningly, we started banning slavery only after we had machines with which to replace slave labor.

Suffrage for women came about around 1900. How did that happen, since there was only men voting?

Probability theory

The earliest formulations of probability theory come from gambling, in the 17th century or so? After that, I don't know. Statistics was conceived of as a separate discipline, first by some guy whose paper about the value of keeping track of populations got widely read, and the Swedish gov was the first to do population statistics.

For Bayesians, statistics is just pure probability theory. But Bayesianism did not come about until de Finetti, Savage, Lindley etc popularized it around 1950, Ulam created Monte Carlo methods in WWII, and Markov chain Monte Carlo methods became computationally feasible in 1990.

Mathematicians (pointless category as every scientist is a mathematician)

  • Pascal, Euler, Gauss, Markov, Kolmogorov

Philosphers (pointless category as every scientist can figure in the history of philosophy)

Evolution

  • Anaximander -> Lamarck -> Darwin -> Mendel -> Dawkins…

Chemists

  • Thales (all is water) -> Heraclitus (all is fire) -> Empedocles (four elements) -> Democritus (atoms) -> Lavoisier -> Mendelev …

Healers

  • Hippocrates, Galen, (Vesalius), Semmelweiss, Jenner, Lister, Pasteur, Fleming

Quantum mechanics

  • Bohr, Einstein, Feynman, Everett, Tegmark…

Probability theory

  • Bayes -> Laplace -> Pearson/other guy -> Bruno de Finetti -> Savage -> Lindley -> Jaynes -> Gelman…

Computer science

  • Babbage, Lovelace, Bell, Von Neumann, Turing, Hopper, Ritchie, Dijkstra…

Civilizational incompetence (reproducibility crisis, the recognition that "scientists suck at statistics, and statisticians suck at science", "economists/execs run things badly because of course they do")

  • Ioannidis, Alvesson, Taleb, Alexander, Yudkowsky

The future

  • Ettinger, De Grey, Bostrom, Tetlock

Ethics

  • Gandhi, Hitler, Mandela, King, Parks, Chomsky, Pinker,

Cognitive science

  • Kahneman, Tversky, Cialdini, Stanford Prison Experiment, Milgram Experiment

The art of science

  • Bacon, Feynman, Kuhn, Popper, Mayo, Jaynes,

Astronomers

  • The Babylonians -> Aristarchos -> Ptolemy -> Copernicus -> Brahe -> Galilei -> Bruno -> Kepler -> Cassini -> Huygens -> Newton -> … -> Einstein -> Hubble -> …

What links here

Created (3 years ago)

Abductive reasoning

en.wikipedia.org/wiki/Abductive_reasoning

Deduction and induction are boring, like a clean math problem or the statistical normal distribution. Abductive reasoning is what you do in the real world.

  • Deductive reasoning allows deriving b from a, only where b is a formal logical consequence of a.
  • Inductive reasoning allows inferring b from a, where b does not follow necessarily from a. a might give us very good reason to accept b, but it does not ensure b.
  • Abductive reasoning allows inferring a as the cause of b. As a result of this inference, abduction allows the precondition a to be abducted from the consequence b.

Abduction is formally equivalent to the fallacy of affirming the consequent (post hoc ergo propter hoc) because of multiple possible explanations for b.

What links here

Created (3 years ago)

Communication problems

Transparent language

“‘In general, beliefs require evidence.’ In general? Which beliefs don’t?”

This exchange comes from a language mismatch. To a scientist/mathematician/engineer, “In general” or “generally” means “always,” whereas in everyday speech, it means “sometimes.”

Another mismatch: the word "should". Avoid "should" or say it only when passing judgment

Created (3 years ago)
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