Why the Flow of Time Is an Illusion

> Science isn't a bunch of fixed methods from a holy book, it's the aggregation of everything that reliably works for extracting information about observable reality.

This isn't true. The word is often used to describe that. But science is first and foremost a method. It's not the knowledge itself. It's not the techniques. There are other techniques besides scientific ones that we use to obtain information about the world. Math, for instance, isn't science. Statistical methods are not scientific methods.

Science concerns itself with obtaining empirical basis for causation. Studying the physical world does not provide insight into every problem we have. You don't try to debug your software problem by hooking up a multimeter to your CPU! We need to use alternative methodologies than scientific ones.

To lump them all under one word is wrong. Your categories are off, which makes your following statement:

> It's just that the sentence "science can't ever answer a question about reality" is a category error - it's saying "the set of ways you can answer questions about reality with can't be used to answer a question about reality". Nonsense."

... even more wrong.

Science is closer to a bunch of fixed methods from a holy book than it is to your assertion. You're using the word science to describe what epistemology calls justification. In epistemological terms, knowledge is a justified true belief. Science is a form of justification. There are other forms.

Since science is empirical, relying on the material world, then the assertion starts to carry water if and only if you can first prove physicalism. I personally am fully on board with materialism, but will rebel very hard against physicalism. Calling math a form of science feels very wrong. I'm on the fence about positivism, I need to think more about it.

> The brain can compute.

You'll see in my comment and your quote that I don't say the brain can't compute. I agree, the brain can compute. But that doesn't mean it is a computer, because computing is an ability. People can do many other things aside from computing, none of which rely on computation, for instance they can imagine, which is the ability to think new thoughts. Computers can't imagine because all they do is compute: that's their programming. No amount of programming can produce imagination. Computation and imagination are categorically distinct as different intellectual powers and abilities.

You are conflating an ability with ontology. We know what a brain is. It's a collection of fatty material with neurons that do not explicitly fire exactly like a computer. Key word there is like. Church-Turing built a model of computational logic off of intuitions about the brain and formal mathematical logic. That's it's not provable doesn't prove your point; it removes any distinction between it being right or wrong: because it is a model (lets make something like the brain).

That an industry was built on computation doesn't prove anything. We know computation is an ability. For instance it's also something we can do with abacuses. We could have built an enormous industry on building elaborate abacuses. We built computers do be extremely fast at computation. We didn't build computers to be brains.

You'll notice, if you read the review, that the author of the review repeatedly cites cognitive neuroscientists, even evangelists of the singularity, philosophers, psychologists, and zoologists, who have published at length on this topic and repeatedly critcise and disrupt the simple idea that the brain is a computer or an algorithm or even a machine. An entire branch of philosophy developed off of Ludwig Wittgenstein to counter the computational model of consciousness. Numerous books in the Philosophy of Mind argue that the assumption that the brain is a computer is not just unsupported, it is logically nonsensical.

Yes, causality is one of the ways of defining Time.

https://en.m.wikipedia.org/wiki/Arrow_of_time

> It's because it is effectively a computer. Not in the vague sense of "it has stuffs connected to stuffs and there's electricity involved", but in the more specific sense that it takes inputs, produces complex outputs, has clearly identifiable hardware and indirectly identifiable software. It even has internal structure we're only beginning to understand, but that we know enough about to reasonably infer what computations happen where. There's little reason to assume there's some metaphysical mystery here, as exactly zero other things in the universe that we studied since the dawn of humanity turned out to be magic.

You're conflating the ability to compute with ontology. Computers compute. That's all they do. They're programmed to do only that. Humans have other abilities, such as imagination, that are not computational. Computers cannot imagine, not because of limited hardware or software; they can't imagine because they only compute. Imagination isn't computational. All throughout your response you are using the terminology of computers and software as if they are completely intuitive, but we have other terminology to define those things: medical terms define parts as the brain as parts of the brain not as hardware because that's a metaphor; the cerebelum is like this part of the computer. What they are is not the same as what they can do. That's not some magical mystery, or even obscure metaphysics. A car's horsepower is not in its carburetor, or its gas, or its manifold, because the horsepower of a car is what it can do, its an ability, a power. In the same sense the brain can compute, but that doesn't mean it is a computer.

What else could it be? A brain. Animals have them. They are not computers. But they can compute. The field of computer science and software development only slightly aligns with studying the brain.

> If I know the limit of applicability of my computer knowledge, I sure can comment on brain and consciousness.

Yes and when it is no longer applicable it is no longer right or wrong: it's just assumption. That you can fuzzily attach assumptions to arguments about the brain does not mean the brain is a computer. It means you can fuzzily model the brain on a computer, but that model will have glaring gaps. You can build from your assumptions but you have to accept the limitations of that assumption. Assuming the brain is a computer comes with glaring limitations.

Here is the crux. Time IS motion. We measure this motion of objects relative to one another by comparing their motion to a standard set of things in motion called a clock. There is nothing else to time except that; but it is real, as real as anything, it is not an illusion.