Skip to main content

Metaphors, Models, and Theories

I've written about metaphors in the past and how they are useful because they allow us to transfer information across unrelated domains. Currently I am reading Julian Jaynes' The Origin of Consciousness, and the topic is brought up and expanded upon very nicely here:

We are trying to understand consciousness, but what are we really trying to do when we try to understand anything? Like children trying to describe nonsense objects, so in trying to understand a thing we are trying to find a metaphor for that thing. Not just any metaphor, but one with something more familiar and easy to our attention. Understanding a thing is to arrive at a metaphor for that thing by substituting something more familiar to us. And the feeling of familiarity is the feeling of understanding.

Generations ago we would understand thunderstorms perhaps as the roaring and rumbling about in battle of superhuman gods. We would have reduced the racket that follows the streak of lightning to familiar battle sounds, for example. Similarly today, we reduce the storm to various supposed experiences with friction, sparks, vacuums, and the imagination of bulgeous banks of burly air smashing together to make the noise. None of these really exist as we picture them. Our images of these events of physics are as far from the actuality as fighting gods. Yet they act as the metaphor and they feel familiar and so we say we understand the thunderstorm.

But metaphors are not necessarily theories. Nor are they empirical explanations of how stuff works. If we were to ask "what is a sunrise?" we might say "Well, a sunrise is the dawn of new day!" And while that may be a useful metaphor, it isn't a proof or explanation of what, exactly, a sunrise is.

A sunrise is when the Sun comes back into the reference frame on our part of Earth—a fact created by the reality that we are hurling through space and gravitating around the Sun every 24 hours. But let us ask another question: why are sunrises and sunsets often red? Or "why is the sky blue?" Of course, the answer is not as simple as merely "being the dawn of a new day."

As I wrote on my other blog about obvious and non-obvious things, and how explanations can be load-bearing or layered:

It seems like there are countless examples where a concept is assumed to be obvious. But when you sit down and really think about it for more than five seconds, you notice that one of the defining characteristics of the concept is that it isn't actually obvious at all.

"Why is the sky blue?"   Well, before you can answer that question, you have to understand light, colors, and their wavelengths (from longest to shortest): red, orange, yellow, green, and blue.

Blue light has the shortest wavelength. Additionally, it’s important to understand the behavior of light. Light can be reflected, bent, or scattered. It can also interact with the atmosphere.

The light we see on Earth is partly an optical phenomenon and partly a molecular one. Gases and particles in the atmosphere cause the light hitting Earth to scatter, which is why we see blue light most of the time.

“But what about sunsets?”  Sunsets are the result of the sun passing at a low angle, causing even more blue light to be scattered while debris and dust particles in the sky reflect more direct sunlight, making the sky appear more red than blue.

And that is the theory of why sunsets and sunrises are red -- and why the sky is blue. And I've written this out to point at how a theory is distinctly different than a metaphor. But also different than a model.

Julian Jaynes goes on to illustrate this, distinguishing and drawing relations between the concepts of metaphors, models, and theories:

So, in other areas of science, we say we understand an aspect of nature when we can say it is similar to some familiar theoretical model. The terms theory and model, incidentally, are sometimes used interchangeably. But really they should not be. A theory is a relationship of the model to the things the model is supposed to represent. The Bohr model of the atom is that of a proton surrounded by orbiting electrons. It is something like the pattern of the solar system, and that is indeed one of its metaphoric sources. Bohr’s theory was that all atoms were similar to his model. The theory, with the more recent discovery of new particles and complicated interatomic relationships, has turned out not to be true. But the model remains. A model is neither true nor false; only the theory of its similarity to what it represents.

A theory is thus a metaphor between a model and data. And understanding in science is the feeling of similarity between complicated data and a familiar model.

Comments

Popular posts from this blog

yt-dlp Archiving, Improved

One annoying thing about YouTube is that, by default, some videos are now served in .webm format or use VP9 encoding. However, I prefer storing media in more widely supported codecs and formats, like .mp4, which has broader support and runs on more devices than .webm files. And sometimes I prefer AVC1 MP4 encoding because it just works out of the box on OSX with QuickTime, as QuickTime doesn't natively support VP9/VPO9. AVC1-encoded MP4s are still the most portable video format. AVC1 ... is by far the most commonly used format for the recording, compression, and distribution of video content, used by 91% of video industry developers as of September 2019. [ 1 ] yt-dlp , the command-line audio/video downloader for YouTube videos, is a great project. But between YouTube supporting various codecs and compatibility issues with various video players, this can make getting what you want out of yt-dlp a bit more challenging: $ yt-dlp -f "bestvideo[ext=mp4]+bestaudio[ext=m4a]/best...

Latin1 vs UTF8

Latin1 was the early default character set for encoding documents delivered via HTTP for MIME types beginning with /text . Today, only around only 1.1% of websites on the internet use the encoding, along with some older applications. However, it is still the most popular single-byte character encoding scheme in use today. A funny thing about Latin1 encoding is that it maps every byte from 0 to 255 to a valid character. This means that literally any sequence of bytes can be interpreted as a valid string. The main drawback is that it only supports characters from Western European languages. The same is not true for UTF8. Unlike Latin1, UTF8 supports a vastly broader range of characters from different languages and scripts. But as a consequence, not every byte sequence is valid. This fact is due to UTF8's added complexity, using multi-byte sequences for characters beyond the general ASCII range. This is also why you can't just throw any sequence of bytes at it and ex...

Unlearning, or Proof by Contradiction

Sometimes, we have to unlearn the things we initially learned. And I don't mean this in the sense of having been deliberately deceived. Rather, I mean that to some extent, there are actually many situations in life that involve necessary lies —or believing things that are wrong for perfectly rational reasons . Sometimes it is only after we have consumed and digested such a falsehood that we can see the truth at all. Really, this form of learning is not unlike some parts of math. Consider a mathematical proof in which we begin by assuming that something is one way. But by the end of the proof, we may realize, through contradiction, that it's actually another way. Let us take the number 2 and generously hypothesize that the square root of 2 is actually rational . If this assumption were true, we should be able to prove it with an equation. Let the square root of 2 be the lowest form of $\frac{p}{q}$. Since squares of even numbers are even, and squares of odd numbers a...