A lot of Nothing

A list of things I’m grateful for: good friends, great family, continued sobriety, health, books, the internet, walks, music, not being in debt—but also discipline, silence, solitude, challenges, persistence, patience, and the ability to practice a multitude of things each and every day.

I’m grateful for the freedom and peace that comes with being able to live life on my own terms, without being enslaved by emergent dynamics, irrational external expectations, or the emotional labor of navigating complex, irrational, controlling scenarios.

I’m thankful for the clarity that comes from a disciplined approach to thought, where reason and evidence guide decisions, allowing for a deeper understanding of nature and a steady path through uncertainty.

Alright. Maybe I'm just joking about that last paragraph. What I actually meant to say is that I'm grateful for my irrationality and foolishness. I mean, they're a major factor in why I don't just give up. I never learned how to.

Horizontal vs Vertical Distinction

The definition of metaphor is: “a figure of speech in which a word or phrase is applied to an object or action to which it is not literally applicable.”

On my other blog, I shared a thought about metaphors:

Metaphors are cool because they let you reason about a domain of knowledge by using tools that were originally intended for a different domain.

Metaphors are useful! A related but distinctly different concept from a metaphor is the concept of metonymy.

The primary difference is that a metaphor draws a similarity between objects—that is, the relation is vertical.

On the other hand, a metonym draws a link between objects that are contiguous but not similar—that is, the relation is horizontal.

The sentence “When I eat raw habanero peppers, they set my mouth on fire” is a metaphor, while the sentence "A new Oval Office has been elected" is a metonym.

In the first sentence, "peppers" and "fire" draw a similarity to one another, e.g., they are different things that can both be described as “hot.”

In the second sentence, "Oval Office" is used as a substitution for "president." The Oval Office and the president are two different things, but they are contiguous; e.g., the Oval Office is the working space of the president.

Variations of horizontal-vertical distinctions are also useful in other domains. In biology, they are often used to describe the way genes or diseases are passed on. For example, when a mother passes a disease to her child during pregnancy, childbirth, or breastfeeding, this is known as vertical transmission. In contrast, if someone catches a cold, travels, and then spreads it to others, this is an example of horizontal transmission.

Repetitions are Sequences

When doing a task like working out, a common pattern is to perform something like 100 reps, then 90 reps, then 80, and so on, until you’ve completely counted down to zero. But this pattern can also be expressed arithmetically.

We say that there are 11 terms in this sequence: 100, 90, 80, 70, 60, 50, 40, 30, 20, 10, and 0. Alternatively, we could count the terms by solving:

\[ 0 = 100 - 10 (n - 1) \]

Now, let S represent the sum of all the terms in our sequence, N represent the number of terms, and \( t_0 \) and \( t_1 \) represent the first and last terms of the sequence.

\[ S_n = \frac{n}{2} \cdot (t_1 + t_n) \]

If we're beginning at 100 and counting all the way down to zero, we plug those values into our equation to get the total sum of 550.

\[ S_n = \frac{11}{2} \cdot (100 + 0) = 550 \]

Absence as Category Error

When you switch on a lightbulb, your eyes perceive photons, and some neurons in your brain activate. If you switch off the light, then so-called ‘off’ neurons activate.

Photoreceptors include rods, which are responsible for the detection of dim light, and cones, which function in bright light and are responsible for the ability to distinguish colours based on their unique spectral sensitivities. These cells each have a ciliary process, known as an outer segment, that consists of stacks of membranous discs where the proteins involved in light sensing and signalling are located. The rods and cones connect to bipolar cells. There are also neurons responsible for modifying visual signals, such as amacrine cells, which connect rod bipolar cells to cone bipolar cells, and horizontal cells, which mediate feedback inhibition to the photoreceptors. The cone bipolar cells connect to ganglion cells, which integrate the signals from the upstream neurons. The ganglion cell axons assemble to form the optic nerve for transmission of visual signals to the brain.^[1]

You don’t actually “stop seeing” when you’re in the dark. No; the mind physically represents nothingness in a pattern of neurons. In the case of literal darkness (as opposed to cognitive dimness), photoreceptors include a special adaptation that allows us to see, even when there appears to be very little light.

Similarly, in physics, there is darkness—the void of space. But is it entirely correct to claim that it is empty? Scientists posit that it is populated with vacuum energy. Vacuum energy is a theoretical background energy throughout the universe, as modeled by the uncertainty principle.

The uncertainty principle can be visualized in this way: imagine a field where virtual particles are constantly popping in and out of existence, imperceptible to the eyes but verifiable by deduction and lab experiments. The implication of this is that the universe is, in a sense, 'charged.' This is a tenet of quantum field theory.

This theory additionally predicts a significant amount of hypothetical energy throughout the universe. But it seems to bear little cosmological consequence, as the energy density that we actually observe is much smaller than the hypothesized model.

But if we assume the standard model is correct, this knowledge gap is known as the cosmological constant problem. It is one of several ideas put forth to account for hidden (dark) states of matter and energy implied by the universe's accelerating expansion. The thing I'm pointing at here is that there's a gap--something is there, and even if it isn't "dark energy" -- then it is, at the very least, a gap in our understanding of the universe.

The point I’m trying to draw, however, is that when we attempt to observe or discuss "nothing," we inevitably encounter "something"—or we find that "nothing" itself is a direct or indirect reference to "something." I argue that it’s impossible to truly discuss "nothing." In a genuine vacuum, a place where absolutely nothing exists, there wouldn't be any fields to measure. There would be no spacetime to speculate about.

In that vein, asking "Why is there something rather than nothing?" is a category error. If we were to ask, "Why is it snowing?" one could at least try to formulate an answer: "Due to cold temperatures, water in the atmosphere froze and fell to the ground as ice crystals." In this scenario, we are asking about a specific feature of the map. Alternatively, we could claim it was because a giant snowman god in the sky caused it to snow. On the other hand, the question "Why is there something rather than nothing?" is unknowable, because we are no longer asking about a specific abstraction of the map—instead, you're asking what created the map itself.

Similarly, the phrase “nothing exists” is a kind of inverse category error—a claim that nothing is real. However, labels like "absence" or "nothing" often function as references or pointers to other things. 

If we must say it, the phrase "nothing exists" is not a self-contradicting statement but a humorous or horrifying statement of fact. Nothing exists.

"Nothing could ruin this moment." "Nothing can dim this light." "Nothing is too great a challenge." "Nothing lasts forever."

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• Weiss, Ellen. "Shedding Light on Dark Adaptation." PMC, 2020. ↩︎

Definitions: Why Words Are Load-Bearing

Many words function through their extensional definitions—or the specific examples and instances that give them meaning. For example, consider when someone suggests that the solution to a problem is more ‘agency.’ But unfortunately, they may not elaborate further.

This can become a quasi "semantic stopping point," where someone uses, repeats, or hears a word without taking time to examine what it functionally means.

‘Just maximize agency,’ someone might say in the face of a problem. But we cannot formalize a coherent model or actionable plan from merely hearing the word ‘agency’ and holding a fuzzy, informal concept in mind. Sure, the word may evoke intensional definitions, e.g., related words like ‘autonomy,’ ‘responsibility,’ or ‘power’—but are these associations alone enough?

What does maximizing agency actually look like in practice? Does it mean giving more freedom? Increasing decision-making capacity? Creating more opportunities for action?

To attempt to answer such questions, we need extensional definitions—specific ideas, examples, and concepts that the term ‘agency’ points to.^[1] In this sense, then, any given word may serve as a header for a broader class of related concepts. It is a class reference.

At first pass, agency appears to encompass a deeper form of intelligence involving philosophy, language, and various cognitive tools.

And that involves concrete physical resources, like energy and resources. But it also involves abstract concepts like strategy, discipline, psychological drives, and uncertainty tolerance—a particularly the willingness to engage with challenging ideas without flinching away.

These extensional definitions—the examples, instances, and related concepts—help us understand not just what something means, but how it operates in practice and relates to other ideas.

Agency, then, is much more than just responsibility or autonomy. The term is load-bearing and involves many other concepts, such as:

• Self-regulation: The ability to control impulses and follow through on plans
• Responsibility: Situational awareness and acceptance of consequences
• Strategic thinking: the alignment of short-term and long-term goals
• Uncertainty tolerance: The capacity to make decisions despite incomplete knowledge

As a general but not absolute rule, behind any intensional definition, there are extensional definitions that make the intensional definition work by giving it practical meaning and power.

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Footnotes

1. Extensional and intensional definitions ↩︎

Frequentism and Bayesianism

From Frequentism and Bayesianism, A Practical Introduction:

For frequentists, probability only has meaning in terms of a limiting case of repeated measurements. That is, if I measure the photon flux F from a given star (we’ll assume for now that the star’s flux does not vary with time), then measure it again, then again, and so on, each time I will get a slightly different answer due to the statistical error of my measuring device. In the limit of a large number of measurements, the frequency of any given value indicates the probability of measuring that value. For frequentists probabilities are fundamentally related to frequencies of events. This means, for example, that in a strict frequentist view, it is meaningless to talk about the probability of the true flux of the star: the true flux is (by definition) a single fixed value, and to talk about a frequency distribution for a fixed value is nonsense.

For Bayesians, the concept of probability is extended to cover degrees of certainty about statements. Say a Bayesian claims to measure the flux F of a star with some probability P(F): that probability can certainly be estimated from frequencies in the limit of a large number of repeated experiments, but this is not fundamental. The probability is a statement of my knowledge of what the measurement result will be. For Bayesians, probabilities are fundamentally related to our own knowledge about an event. This means, for example, that in a Bayesian view, we can meaningfully talk about the probability that the true flux of a star lies in a given range. That probability codifies our knowledge of the value based on prior information and/or available data.

Four Forces

It bothers me that in popular science discourse, gravity is so frequently emphasized while other forces are overlooked. Nobody even discusses the strong and weak forces anymore! OK. Maybe they do sometimes and I’m just exaggerating. Furthermore, gravity is the weakest force! However, it does affect things on an infinite scale. Behold, a list of the four physical forces:

• Strong interaction — This is the strongest force—the force that holds the nuclei of atoms together, binding protons and electrons to nuclei
• Electromagnetism — Another force stronger than gravity—electromagnetism is the force that acts on charged particles. (e.g. light, radio waves, etc.)
• Weak interaction — A force weaker than electromagnetism, involved in subatomic interactions like radioactive decay or the decay of unstable particles (e.g. like muons or nuclear reactions in the the Sun)
• Gravity — The weakest force, but with range that inevitably affects large-scale things, like objects, planets, asteroids, and so on.