Category Archives: Science

Smolin: Einstein’s Unfinished Revolution

Earlier this month I posted about Quantum Reality (2020), Jim Baggott’s recent book about quantum realism. Now I’ve finished another book with a very similar focus, Einstein’s Unfinished Revolution: The Search for What Lies Beyond the Quantum (2019), by Lee Smolin.

One difference between the books is that Smolin is a working theorist, so he offers his own realist theory. As with his theory of cosmic selection via black holes (see his 1997 book, The Life of the Cosmos), I’m not terribly persuaded by his theory of “nads” (named after Leibniz’s monads). I do appreciate that Smolin himself sees the theory as a bit of a wild guess.

There were also some apparent errors that raised my eyebrows.

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Baggott: Quantum Reality

I recently read, and very much enjoyed, Quantum Reality (2020) by Jim Baggot, an author (and speaker) I’ve come to like a lot. I respect his grounded approach to physics, and we share that we’re both committed to metaphysical realism. Almost two years ago, I posted about his 2014 book Farewell to Reality: How Modern Physics Has Betrayed the Search for Scientific Truth, which I also very much enjoyed.

This book is one of a whole handful of related books I bought recently now that I’m biting one more bullet and buying Kindle books from Amazon (the price being a huge draw; science books tend to be pricy in physical form).

The thread that runs through them is that each author is committed to realism, and each is disturbed about where modern physics has gone. Me, too!

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Plato’s Divided Line

Recently my friend Tina, who writes the blog Diotima’s Ladder, asked me if I could help her with a diagram for her novel. (Apparently all the math posts I’ve written gave her ideas about my math and geometry skills!)

What she was looking for involved Plato’s Divided Line, an analogy from his runaway bestseller, the Republic (see her post Plato’s Divided Line and Cave Allegory for an explanation; I’m not going to go into it much here). The goal is a geometric diagram proving that the middle two segments (of four) must be equal in length.

This post explores and explains what I came up with.

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Entropy 102

Last time I began explaining my “CD collection” analogy for entropy; here I’ll pick up where I left off (and hopefully finish — I seem to be writing a lot of trilogies these days). There’s more to say about macro-states, and I want also to get into the idea of indexing.

I make no claims for creativity with this analogy. It’s just a concrete instance of the mathematical abstraction of a totally sorted list (with no duplicates). A box of numbered index cards would work just as well. There are myriad parallel examples.

One goal here is to link the abstraction with reality.

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Entropy 101

Entropy is a big topic, both in science and in the popular gestalt. I wrote about it in one of my very first blog posts here, back in 2011. I’ve written about it a number of other times since. Yet, despite mentioning it in posts and comments, I’ve never laid out the CD collection analogy from that 2011 post in full detail.

Recent discussions suggest I should. When I mentioned entropy in a post most recently, I made the observation that its definition has itself suffered entropy. It has become more diffuse. There are many views of what entropy means, and some, I feel, get away from the fundamentals.

The CD collection analogy, though, focuses on only the fundamentals.

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Does Transporting Kill You?

It’s actually an old debate — in fact, it’s a variation on the Ship of Theseus — but modern day science fiction gives it a new spin. At root it’s a question about exactly where our identity as self-aware conscious beings actually resides. I don’t find it paradoxical so much as intriguing.

Recently Sabine Hossenfelder jumped into the discussion with a video asking whether Captain Kirk dies every time he uses the transporter. Not just him, of course, but everyone who uses it.

As with trees falling in forests, the answer depends on defining key terms. This case depends on exactly what we mean by “dies” and “Kirk” — the latter being the Ship of Theseus.

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Are We Special?

There is a key rule of thumb (or heuristic) in science known as the Copernican Principle. It essentially says: “We’re not special.” (The “we” in question being the human race.) It’s named after Nicolaus Copernicus, who, in 1543, forever banished the Earth and its thin film of humanity from the center of the universe.

Ever since, the science view of humanity is that it’s just part of the landscape, nothing particularly special, a mere consequence of energy+time creating increasing organization in systems. We may be complex, perhaps even a little surprisingly so, but we’re still nothing special.

Yet it seems to me that, at least in some ways, we really are.

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Sideband #74: Volume and Surface Area

I’ve always had a strong curiosity about how things work. My dad used to despair how I’d take things apart but rarely put them back together. My interest was inside — in understanding the mechanism. (The irony is that I began my corporate career arc as a hardware repair technician.)

My curiosity includes a love of discovery, especially unexpected ones, and extra especially ones I stumble on myself. It’s one thing to be taught a neat new thing, but a rare delight to figure it out for oneself. It’s like hitting a home run (or at least a base-clearing double).

Recently, I was delighted to discover something amazing about spheres.

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Inner Voice

I’ve contemplated the voice(s) in my head all my adult life, though it’s only recently I’ve thought deeply about them. One big question I’ve had being why sometimes it’s a dialog rather than a monolog.

To be clear, I am fully aware that it’s all me; it’s my voice(s). “They” (or rather “we”) are aspects of my own mind — my inner voice. Something I’ve naturally assumed everyone had.

But some say they have no inner voice!

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Analog Computing

Analog computer: AKAT-1 (1959)

Last September I posted the Pancomputation trilogy (parts: I, II & III) which was a follow-up to last spring’s Digital Dualism trilogy (parts: 1, 2 & 3). The first trilogy was a continuation of an exploration of computer modeling I started in 2019. Suffice to say, over the course of writing these posts, my views on what “computing” means evolved and crystalized.

As discussed in the Pancomputation posts the notion of computation is difficult to pin down (many general concepts are because we don’t have even more general concepts to define them with). A pancomputation view sees everything as computing. A computer science view restrictively equates it with a Turing Machine.

I’ve realized my view depends heavily on computational dualism.

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