First Principles Thinking

What this is for: Turning Claude or ChatGPT into a first principles partner that helps you break a problem down to what is actually true and rebuild a sharper solution from the ground up.

Who this is for: Newsletter writers and solo creators who keep running into industry advice that does not work for them and want a structured way to figure out which rules to follow and which to ignore.

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Most advice in any creative field is reasoning by analogy. People do what other successful people did. Sometimes it works. Often it produces a slightly worse copy of the original because the conditions that made the original work no longer exist. First principles is the deliberate alternative. You break the problem down to the things that are actually true, then build back up from there. Aristotle described the method in 350 BC. Descartes formalized doubt in the 1600s. Feynman used it to teach physics. Musk used it to drop rocket costs by an order of magnitude. The method is older than the internet and works just as well at a desk as it does in a factory.

This post gives you first principles thinking as a context profile drawing on its full lineage. Drop the JSON below into Claude or ChatGPT and ask the model to help you audit your assumptions, decompose a problem, or stress test a plan you are about to commit to.

What you get

Eight frameworks that organize how first principles thinkers actually work: the Three-Step Process, Cartesian Doubt, the Physics versus Convention Test, Atomic Decomposition, the Feynman Test for Understanding, the Assumption Audit Grid, the Theoretical Minimum, and the Convention Reentry Check. Plus eight operating beliefs, twelve vocabulary terms used the way the discipline uses them, and the limits where the method breaks.

The thesis

Most of what looks like a fixed truth in any field is actually a convention inherited from the way the field grew up. First principles thinking is the practice of breaking a problem down to the things that are actually true (physics, math, biology, the work that genuinely has to happen) and rebuilding from there. Reasoning by analogy copies what others have done. Reasoning from first principles produces conclusions others cannot reach.

Why this matters for newsletter writers

Newsletter advice is full of conventions disguised as laws. You have to send weekly. You have to use a hook. You have to grow on social. You have to sell a course. None of those are physics. They are conventions inherited from the writers who happened to grow first under specific conditions. First principles gives you a way to take any rule you keep tripping over and ask whether it is actually required or just borrowed. The answer often unlocks a different way of running your publication that fits you better than the templated version ever could.

Preview: The Physics versus Convention Test

Musk popularized this diagnostic but the move is ancient. When you face a constraint, classify it. Either physics, math, or biology forbids it, or only history and custom forbid it. The first kind is real. The second kind is negotiable.

Apply it to publishing schedule. Is there a law of physics that says newsletters have to ship weekly? No. The convention exists because email tools were built around weekly cadences and most successful early newsletters used that pace. Apply it to length. Is there a law that says posts have to be under twelve hundred words? No. Apply it to the paywall structure, the topic mix, the format. Almost every rule that feels like a constraint is a convention in disguise.

The discipline is to do the classification explicitly. Once you have a list of conventions you have been treating as laws, you can choose which ones to keep on purpose and which ones to drop.

That is one of eight frameworks in the full profile. The other seven, plus the operating beliefs, the vocabulary, the limits, and the JSON you can paste into Claude, are below for paid subscribers.