Figure Out How it Works

Input: $ARGUMENTS

Interpretations

Before executing, identify which interpretation matches the user’s input:

Interpretation 1 — Understand a specific system: The user has a concrete thing (tool, technology, process, mechanism) they want to figure out — they need a structured investigation path from confusion to comprehension. Interpretation 2 — Debug understanding gaps: The user thinks they understand something but keeps getting surprised or making wrong predictions — they need to find and fix the flaws in their existing mental model. Interpretation 3 — Teach or explain something: The user already understands a system and wants to use this framework to structure an explanation or teaching plan for someone else, working out the right depth and access-level approach.

If ambiguous, ask: “I can help with understanding a system from scratch, debugging gaps in your current understanding, or structuring an explanation for others — which fits?” If clear from context, proceed with the matching interpretation.

Depth Scaling

Default: 2x. Parse depth from $ARGUMENTS if specified (e.g., “/fohw 4x [input]”).

These are floors. Go deeper where insight is dense. Compress where it’s not.

STEP 0: What are you trying to understand?

Write down:

THE THING: _______________ (Name the specific thing. Not “computers” — “how my laptop connects to wifi.” Not “politics” — “how a bill becomes law in my country.”)

If you can’t name it specifically -> you need to narrow down first. Ask: “What specific question do I want answered?” Keep narrowing until you have one concrete thing.

STEP 1: How deep do you need to go?

Pick ONE:

A) “I just need to USE it” (I want to operate it, get results from it, not understand the internals.) -> Go to SECTION A: Learn to Use It

B) “I need to know WHAT THE PARTS ARE” (I want to identify the components and how they connect.) -> Go to SECTION B: Map the Structure

C) “I need to know WHY IT WORKS” (I want to understand the mechanism — what causes what.) -> Go to SECTION C: Understand the Mechanism

D) “I need to be able to BUILD ONE” (I need complete operational understanding.) -> Do Sections B, then C, then go to SECTION D: Build to Learn

SECTION A: Learn to Use It

Goal: reliable input -> output

Step A1: Find someone or something that already knows.

Check in this order (stop when you find one):

• Is there a tutorial, manual, or “getting started” guide?
• Is there a person you can watch using it?
• Is there a video of someone using it?
• Is there a forum/community where users discuss it?

If YES to any -> Follow that tutorial/watch that person. Copy what they do EXACTLY before trying your own approach.

If NO to all -> Go to Step A2.

Step A2: Poke it.

Try the most obvious action. Observe what happens.

Record:

• I did: _______________
• I saw: _______________

Repeat 5 times with different actions.

WARNING: Before poking, ask: “Can I break this or cause harm by experimenting?” If YES -> use a copy, sandbox, or practice version. If no safe version exists -> go to SECTION B instead (observation before action).

Step A3: Build an input/output table.

Fill in at least 10 rows.

Step A4: Check your understanding.

Can you now predict what will happen before you do something?

Test: Pick 3 new actions you haven’t tried. For each, WRITE DOWN your prediction BEFORE doing it.

• Prediction 1: ___ -> Actual: ___ -> Match? Y/N
• Prediction 2: ___ -> Actual: ___ -> Match? Y/N
• Prediction 3: ___ -> Actual: ___ -> Match? Y/N

3/3 match: You understand it well enough to use it. DONE. 2/3 match: Close. Investigate the mismatch, repeat A2-A4. 0-1/3 match: Your model is wrong. Go to Step A5.

Step A5: Break your model and rebuild.

CRITICAL STEP — this is where most people fail.

Your predictions were wrong. That means your mental picture of how this works is wrong. Do NOT patch your old model. Start fresh:

1. Write down what you THOUGHT was happening: _______________
2. Write down what ACTUALLY happened: _______________
3. What’s the simplest explanation that fits ALL your data (the table from A3 PLUS the failed predictions)? New model: _______________

Return to Step A4 and test the new model.

If you’ve done this 3+ times and still can’t predict: This thing is too complex for SECTION A. Go to SECTION B.

WARNING: Step A5 is the most important step in the entire procedure. Feeling confused or frustrated at this point is CORRECT — it means you’re actually learning. Comfort means you haven’t challenged your assumptions. Push through.

SECTION B: Map the Structure

Goal: identify the parts and connections

Step B1: Determine your access level.

• Can you open it up / read the source / see the internals? -> You have DIRECT ACCESS. Go to B2.
• Can you observe it running and try different inputs? -> You have EXPERIMENT ACCESS. Go to B3.
• Can you only read about it or observe from the outside? -> You have OBSERVATION ONLY. Go to B4.

Step B2: Direct inspection (full access).

1. List every distinct part/component/module you can see. Don’t interpret — just list. Aim for exhaustive.

   Parts found:

   1. ---

   2. ---

   3. ---

   … (keep going until you can’t find new parts)

2. For each part, note:

   • What it connects to (inputs/outputs/neighbors)
   • Whether it’s active (does something) or passive (stores/holds)
   • Rough size/importance relative to the whole

3. Draw a diagram: boxes for parts, lines for connections. Label each line: what flows along it? (data, force, material, information, money, authority…)

-> Go to Step B5.

Step B3: Experiment-based mapping (can try things).

1. Start with the simplest experiment: give it one input, watch what happens at every point you can observe.

2. Change ONE thing at a time. Observe what changes downstream.

   I changed	What changed downstream	What didn’t change
   [variable 1]	[effects]	[non-effects]
   [variable 2]	[effects]	[non-effects]

3. Parts that change together are likely connected. Parts that don’t change when others do are likely independent.

4. Draw a diagram based on what you’ve inferred. Mark uncertain connections with ”?”

-> Go to Step B5.

Step B4: Observation-only mapping (no access).

1. Find the best available description of the thing:

   • Official documentation, textbooks, explainer articles
   • If multiple sources disagree, note the disagreements

2. Read/watch THREE different sources that explain it. (One source gives you one perspective. Three gives you the overlapping truth.)

   Source 1 says the parts are: _______________ Source 2 says the parts are: _______________ Source 3 says the parts are: _______________

3. What do all three agree on? -> That’s probably real. Where do they disagree? -> That’s where you’re uncertain.

4. Draw a diagram of the consensus structure. Mark disputed areas with ”?”

-> Go to Step B5.

Step B5: Validate your map.

Test: For each part in your diagram, answer:

• What would happen if this part were removed?
• Can I explain its role in one sentence?

If you can’t answer for a part -> you don’t understand it yet. Go back and investigate that specific part.

Test: For each connection in your diagram, answer:

• What flows through this connection?
• What would happen if this connection were cut?

If you can’t answer for a connection -> investigate it.

When you can answer all of these: Your structural map is complete.

If your goal was structural (Step 1 choice B): DONE. If your goal was deeper: -> Go to SECTION C.

SECTION C: Understand the Mechanism

Goal: know WHY it works, predict changes

Step C1: Pick the most important causal question.

Look at your structural map (from Section B). Write the ONE question you most want answered:

“Why does _______________?” or “What causes _______________?” or “How does [part X] produce [effect Y]?”

Your question: _______________

Step C2: Generate exactly 3 hypotheses.

WARNING: Do NOT settle for 1 hypothesis. 1 hypothesis is a trap — you’ll find evidence that confirms it and stop. 3 hypotheses force you to distinguish between them.

Hypothesis 1: _______________ Hypothesis 2: _______________ Hypothesis 3: _______________

Rules for good hypotheses:

• Each must be specific enough to be wrong
• At least one should feel unlikely to you (fight confirmation bias)
• They should make DIFFERENT predictions about something observable

WARNING (same-idea trap): After writing your 3 hypotheses, check: “Would the same person believe all 3 of these?” If yes, they’re not different enough. Make hypothesis 3 something you think is probably wrong. The point is to have something to eliminate.

Step C3: Find the discriminating test.

Ask: “What observation would be TRUE under Hypothesis 1 but FALSE under Hypothesis 2?”

Find a test where the hypotheses DISAGREE. If they all predict the same thing, that test doesn’t help. Keep looking until you find a discriminating test.

Step C4: Run the test.

• If you can experiment -> do the test, record results.
• If you can only observe -> look for the predicted observation.
• If you can only research -> find data that addresses this.

Result: _______________ This supports Hypothesis: ___ This eliminates Hypothesis: ___

WARNING (correlation trap): After finding a result that supports a hypothesis, ask: “Is there a fourth explanation I haven’t considered that also predicts this result?” If yes, you haven’t actually discriminated. You need a sharper test.

Step C5: Refine or repeat.

If one hypothesis remains -> it’s your working model. Test it 2 more times with different observations. If it keeps holding up -> you probably understand the mechanism.

If no hypothesis fits -> all three were wrong. Generate 3 new hypotheses informed by what you’ve learned. Return to C2.

If two hypotheses remain -> you need a better discriminating test. Return to C3.

If you’ve been through C2-C5 three times and no hypothesis survives -> the thing may be more complex than your current knowledge can handle. Seek an expert or take a course in the domain, then return.

Step C6: State your understanding and stress-test it.

Write: “This works because _______________”

Now try to break your understanding:

• Find someone who disagrees. What’s their counter-explanation?
• Find an edge case. Does your explanation still work?
• Find a related system. Does your explanation predict how THAT system works?

If your explanation survives -> you understand the mechanism. DONE. If it breaks -> note WHERE it broke, return to C2 with that new information.

WARNING: “It makes sense to me” is NOT the same as “I understand it.” The test is: can you PREDICT novel situations and be RIGHT? If you can’t test predictions, you have a plausible story, not an understanding. Be honest about the difference.

WARNING (moving target): If your investigation spans more than a week for a living system (software, organization, market), re-verify your Section B map before continuing. Parts may have changed.

SECTION D: Build to Learn

Goal: complete operational understanding

Prerequisites: You’ve completed Sections B and C.

Step D1: Attempt to build a minimal version.

Don’t build the whole thing. Build the SMALLEST version that demonstrates the core mechanism.

What I’m building: _______________ Core mechanism I’m testing: _______________

Step D2: Record where you get stuck.

Every place you get stuck reveals a gap in your understanding.

Step D3: For each gap, return to the appropriate section.

• Don’t know the parts -> Section B (for this specific sub-area)
• Don’t know why something works -> Section C (for this question)
• Can’t make it work -> Step A2 (poke the original, observe more)

Step D4: Does your build work?

• YES -> You understand it well enough to build it. DONE.
• NO -> Compare your build to the original. What’s different? That difference is your remaining gap. Return to D3.

QUICK REFERENCE CARDS

Card 1: The Learning Ladder

Level 1: USE IT    -> Know inputs/outputs
Level 2: MAP IT    -> Know the parts
Level 3: EXPLAIN IT -> Know the mechanism
Level 4: BUILD IT  -> Know it completely

Each level requires the one below it.
Stop at the level you actually need.

Card 2: The Access-Method Table

Full access    -> Open it up, read source
Can experiment -> Change inputs, watch output
Observe only   -> Read 3 sources, find consensus
No access      -> Analogical reasoning from similar systems you DO know

Card 3: The Three Traps

TRAP 1: One hypothesis (confirmation bias)
  Fix: Always generate 3 hypotheses

TRAP 2: "Makes sense" does not equal "Understand"
  Fix: Test predictions, not narratives

TRAP 3: Patching a wrong model
  Fix: When predictions fail, rebuild from scratch (Step A5)

COMMON MISTAKES

1. Starting with research instead of observation. Reading about how something works before looking at it installs someone else’s model in your head. Look first, read second. (Exception: if you have observation-only access, reading is your only option — use Section B4.)

2. One hypothesis. The most common mistake in all of learning. You form one explanation, then see confirming evidence everywhere. Force yourself to hold 3 explanations. It feels unnatural. Do it anyway.

3. Confusing “it makes sense” with “I understand it.” After reading an explanation, you feel like you understand. Test: close the book and explain it to someone (or write it down from memory). If you can’t, you recognized the explanation — you didn’t understand it.

4. Not recording observations. Memory is unreliable. If you don’t write down what you tried and what happened (Steps A3, B3, C4), you’ll forget details and confuse your own data.

5. Going deeper than you need to. If you just need to use a thing (Level 1), don’t map its structure (Level 2). Match your effort to your actual goal. This is Step 1 of the procedure — don’t skip it.

6. Patching instead of rebuilding. When a prediction fails, the temptation is to add an exception (“it works like X except when…”). After 2-3 exceptions, your model is a mess. Tear it down and build a cleaner one from all your data.

WHEN TO OVERRIDE THIS PROCEDURE

• When you have a teacher available. A knowledgeable person who can answer questions is faster than any procedure. Use them. This procedure is for when you’re on your own.
• When safety is critical. If misunderstanding the thing could cause injury, financial loss, or other serious harm — do NOT rely on self-guided investigation. Get professional training or expert guidance first.
• When time pressure is extreme. If you need to use the thing in the next 10 minutes, skip to Section A, Step A1 (find a tutorial) and don’t bother with deep understanding. You can come back later.
• When the thing is formally defined. Mathematical systems, programming languages, and rule-based games have complete formal specifications. Read the spec. It IS the answer. No need to hypothesize.

WORKED EXAMPLES

Example 1: Figuring Out How Git Works

Step 0: THE THING = “How git tracks and merges code changes” Step 1: Goal = CAUSAL (“why does it work”) -> Section B then C.

Section B (Map the Structure):

• Access level: Full (can read files, run commands) -> Step B2.
• Parts found: working directory, staging area, local repo, remote repo, commits, branches, HEAD pointer, .git directory.
• Diagram: working directory -> git add -> staging area -> git commit -> local repo -> git push -> remote repo.
• Connections: data flows as snapshots (not diffs).

Section C (Understand the Mechanism):

• Question: “How does git know what changed between two branches?”
• H1: It stores diffs between versions.
• H2: It stores full snapshots and computes diffs on demand.
• H3: It stores a mix (snapshots for some files, diffs for others).
• Discriminating test: Look at .git/objects — are they full files or diffs?
• Result: Full file snapshots (compressed). H2 supported.
• Stress test: Does this explain why branching is fast? Yes — branches are just pointers, not copies. Understanding holds.

Example 2: Figuring Out How a Sourdough Starter Works

Step 0: THE THING = “How a sourdough starter makes bread rise” Step 1: Goal = CAUSAL -> Section B then C.

Section B: Observation-only at first (can’t see microbes).

• 3 sources consulted. Consensus: it’s a symbiotic colony of wild yeast and lactobacillus bacteria. Yeast produces CO2 (rising). Bacteria produce lactic acid (flavor).
• Diagram: flour + water -> feeds yeast + bacteria -> yeast produces CO2 + alcohol -> bacteria produce acid -> both reproduce.

Section C:

• Question: “Why does my starter need to be fed regularly?”
• H1: The organisms eat all the food and starve.
• H2: Waste products (acid, alcohol) build up and poison them.
• H3: Both — food depletion AND waste accumulation.
• Test: Feed a starving starter vs. replace the liquid (remove waste) without feeding.
• Result: Just removing waste didn’t revive it. Fresh flour did. H1 primarily, H3 partially.
• Stress test: Predicts that a starter in the fridge (slower metabolism) needs less frequent feeding. Confirmed.

Example 3: Figuring Out How a Company’s Pricing Works

Step 0: THE THING = “How my competitor sets their prices” Step 1: Goal = STRUCTURAL -> Section B.

Section B: Observation-only (no access to their internals).

• Source 1 (their website): prices listed by tier.
• Source 2 (industry analysis): common SaaS pricing models.
• Source 3 (customer reviews): reports of discounts for annual billing.
• Map: Base price x tier multiplier, with annual discount and possible enterprise custom pricing.
• Validation: Predicted price for a specific tier + annual billing -> checked against website -> matched.

DONE at structural level. Did not need to understand WHY those specific prices (would require Section C + access to their internal data).