● Page 2 · Full notes · 7 Oct 2026 · back to the one-pager

Think in systems. Four types, one test.

Smart people make expensive mistakes because they use the right tool on the wrong kind of problem. This video sorts every problem into four systems and gives a simple test to tell which one you are in. Here is the video, an infographic of the four systems, and bullet notes written by Claude in its own words.

Sandeep Swadia20 min video6 min read
4Types of system
4Steps in DART
3Traps that confuse us
3Ways to see outside
● Watch

The video

How To Think So Clearly People Assume You're Brilliant · Sandeep Swadia · Watch on YouTube ↗

● The idea

What a system is

  • A system is connected parts that keep producing the same pattern. Your business, your career and your family are all systems.
  • Look past the parts. In a coffee shop the parts are the customer, cashier, barista and machine. The connection is the order flow. The pattern is what comes out every day.
  • Firefighters read smoke. Most people see danger. A firefighter sees information: colour tells them what is burning and which door not to open.
  • Three questions to practise anywhere: what are the hidden parts, how are they connected, and what keeps repeating?
● Why we get it wrong

Three traps

01 Wrong type of system

Each type of system needs a different response. If you misread the type, you bring the wrong approach and the problem gets worse.

02 Bad incentives (the cobra effect)

Colonial Delhi paid a bounty for dead cobras. People started breeding cobras for the cash, and the city ended up with more snakes. Reward the wrong thing and people chase the reward, not the goal.

In a business: pay sales staff on invoices raised, not cash collected, and watch receivables grow.

03 Delayed feedback

Some actions pay off in seconds and hurt in decades. Smoking was the example: instant relief, damage years later. When the result is far away, people stop connecting it to the cause.

● Infographic

The four systems

The test is one question: how clear is the link between cause and effect?

01 · Cause → effect is obvious

Clear

  • Recipe, surgical scrub, pre-flight check
  • Van Halen's "no brown M&Ms" clause told them if the venue had read the safety rules
Do: follow the checklist
02 · Cause → effect is hidden

Complicated

  • Chest pain in an ER, a mortgage, tax planning, due diligence
  • The answer exists. You need skill to find it
Do: slow down, get the right expert
03 · Cause → effect only in hindsight

Complex

  • Merging two company cultures, getting staff to adopt AI, raising a teenager
  • Experts help less here
Do: small tests, adjust as you go
04 · Cause → effect is broken

Chaotic

  • The 1982 Tylenol poisonings: J&J pulled 31 million bottles first and asked questions later
  • Earthquakes, fires, crises
Do: act now, stabilise, then analyse

Note the AI example. Picking tools and building the roadmap is complicated: hire the right people and it gets done. Getting your team to change how they work is complex: nobody knows the result until later. That second part is where most AI projects stall, and it is exactly what I see in training rooms.

● The diagnostic

Use DART to find your system

DDeconstructBreak the problem into parts. Are they stable or always moving?
AAnalyseIs cause and effect obvious, findable, only visible later, or gone?
RRecogniseHave I seen this pattern, or something like it, before?
TTestRun the smallest test before you commit. In chaos, skip it and act.
● The hidden loop

Get on the platform

  • Every system you live in is training you. From inside, you can't tell which way it is moving, like sitting on a train when the one beside you pulls out.
  • Three ways to see from outside: a mentor with no stake in your story, data that ignores your narrative, and time: compare yourself with a week, a month and a year ago.
  • Refuse false either/or choices. Luxury or volume is a limit of system design, not of reality. Apple sells a premium phone at mass scale.
  • The hardest system to redesign is the story in your own head. It is part of the system, and it can be rewritten.
● Monday morning

How I'd use it

Problem
System → move
Month-end close runs late every month
Clear → write the checklist and stick to it
VAT position on a cross-border sale
Complicated → ask the tax specialist
Team won't use the new AI tool
Complex → pilot with 3 people, adjust weekly
Bank froze the account on payroll day
Chaotic → pay staff another way today, investigate tomorrow

This is the same split I use when I plan AI rollouts for a team. The tools part is easy. The people part needs small tests. See how I run a session: AI Tools for Effective Teaching, the free class ↗

● Questions

Common questions

What are the four types of systems?

Clear, where cause and effect are obvious. Complicated, where they are hidden but can be found with analysis or an expert. Complex, where they only show in hindsight. Chaotic, where the link is broken and you must act first.

What is the cobra effect?

When a reward is tied to the wrong thing, people game it. A bounty on dead cobras in Delhi led people to breed cobras, so the number of snakes went up instead of down.

What does DART stand for?

Deconstruct, Analyse, Recognise, Test. Break the problem into parts, check how clear cause and effect is, look for a familiar pattern, then run the smallest test you can before committing.

Why is AI adoption a complex system?

Choosing tools and building a roadmap can be solved by experts. Changing how people actually work depends on habits, culture and trust, so the outcome only shows over time. Small pilots and quick adjustments work better than one big plan.