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Steven Stuart
Steven Stuart

Posted on • Originally published at stevenstuartm.com

Why Experts Explain Things Simply (And How to Get There Faster)

I used to think experts explained things simply because they had figured out what mattered and stripped away the rest. Turns out that's backwards. Experts explain simply because they researched deeply enough to compress what they learned into patterns. The simplicity comes after the expansion, not before.

This realization changed how I learn. Instead of trying to find the shortest path to understanding, I now embrace the messy expansion phase and focus on compression as the actual learning mechanism. Teaching forces that compression. Writing forces it even more.

Understanding as Compression

Raw information is verbose. Understanding is discovering the pattern that compresses it. Think about how different skill levels explain the same concept:

A novice oversimplifies because they don't know what they're missing. An intermediate developer recites every detail they learned because they haven't found the pattern yet. An expert distills it to a few precise sentences because they've organized those same facts around core principles.

Compression isn't eliminating details. It's internalizing them deeply enough to regenerate them from fundamentals. The expert knows more facts than the intermediate; they've just compressed those facts into fewer, more powerful concepts.

You cannot compress what you don't realize is verbose. This requires acknowledged ignorance, recognizing the gap between what you know and what you understand.

The Cycle

Learning operates as a feedback loop: Ignorance → Expansion → Compression → New Ignorance → Repeat

Acknowledge Ignorance

Before learning, declare what you don't know. Not "I don't know Rust" but specifically what assumptions you're making, where you're uncertain, and what questions you can't answer yet.

This creates your learning target. You cannot compress effectively without knowing what needs compression. Generic ignorance ("I don't know X") doesn't guide research. Specific ignorance ("I don't understand how Rust's borrow checker prevents data races without garbage collection") does.

Expand Through Research

Study the details, accumulate facts, and read deeply. The information will grow verbose and overwhelming, but you need that complexity before you can compress it. Don't fight the expansion phase by trying to summarize prematurely.

Learning with intent to teach changes how you process this expansion. You're not just collecting information; you're preparing to articulate it. This makes you notice what surprises you and challenges your assumptions, what patterns emerge across seemingly unrelated details, and what questions remain unanswered even after research.

Compress Through Teaching

Teaching forces externalization, converting internal understanding to external communication. Write, explain, document. Constrain brevity. Avoid jargon.

This reveals compression failures immediately. When your explanation becomes verbose, the pattern isn't clear yet. When you reach for jargon, you're avoiding precision. When you skip steps as "obvious," you're experiencing the curse of knowledge. When you can explain briefly while maintaining precision, compression has occurred.

New Ignorance Emerges

Teaching reveals what you couldn't explain, questions you couldn't answer, and edge cases you hadn't considered. This new ignorance is more specific than your starting ignorance because it's informed by the expansion and compression you just completed.

This new ignorance becomes the next cycle's starting point. Each iteration improves compression and reveals more specific gaps, which enables more targeted expansion and produces clearer teaching. The cycle accelerates as your ignorance becomes higher quality.

Why This Accelerates Learning

Learning isn't accumulation. It's expansion followed by compression. You cannot compress without acknowledging what needs compression. You cannot compress without first expanding through deep research. You cannot test compression without externalizing it. You cannot improve without measuring compression failures.

Most people get stuck in the expansion phase, accumulating facts without compression. Others try to compress prematurely, building understanding on incomplete research. Both approaches slow learning because they skip critical steps.

The cycle forces deliberate progression: Acknowledge ignorance → Expand through research → Compress through teaching → Discover new ignorance → Repeat.

This is how experts explain simply. Not because they know less, but because they researched more and then compressed more. The simplicity you see is the output of multiple cycles, each round of ignorance more refined than the last.

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