A growing library of the most powerful thinking frameworks — explained visually, with real examples and practical steps.
Instead of asking how to succeed, ask what would guarantee failure — then avoid it.
Break any problem down to its fundamental truths, then build your reasoning up from there.
Consider not just the immediate consequences of a decision, but the consequences of those consequences.
Know what you know, know what you don't know, and stay honest about the boundary.
Every model of reality is a simplification. Don't confuse your map with the actual terrain.
Before starting, imagine the project has already failed. Then figure out why.
The simplest explanation that fits the evidence is usually the correct one.
Never attribute to malice that which can be adequately explained by ignorance, incompetence, or neglect.
Think in likelihoods, not certainties. Assign probabilities to outcomes instead of assuming binary results.
Every system has outputs that feed back into inputs — reinforcing or balancing the system's behaviour over time.
Build a buffer between what you expect and what you plan for. The world will surprise you.
The true cost of anything is whatever you give up to get it — including the next best alternative.
Some things don't just survive shocks — they get stronger from them. Position yourself to benefit from disorder.
Test ideas by running them in your imagination rather than in the real world — cheaper, faster, and sometimes just as revealing.
Separate what's urgent from what's important. Most people spend their lives on the wrong quadrant.
Start with your best guess, then update it proportionally as new evidence arrives.
We instinctively seek out information that confirms what we already believe — and ignore what contradicts it.
People with low competence in a domain tend to overestimate their ability, while experts tend to underestimate theirs.
Losses hurt roughly twice as much as equivalent gains feel good — and this asymmetry distorts nearly every decision you make.
Never ask why someone is behaving a certain way until you understand what they're incentivised to do.
Do what you're relatively best at, even if someone else is absolutely better at everything.
The price and availability of anything — goods, jobs, attention, ideas — is shaped by how much exists relative to how much is wanted.
In any system, there are specific places where a small change produces disproportionately large effects.
Complex behaviour arises from simple rules followed by many agents — the whole is genuinely different from the sum of its parts.
What works survives; what doesn't, disappears. This principle applies far beyond biology — to ideas, businesses, and habits.
You have to keep running just to stay in place — because everyone else is running too.
Some processes need a minimum threshold of input before anything happens — then they suddenly accelerate.
Everything tends toward disorder unless energy is applied to maintain order. This is true for systems, relationships, and organisations.
Before arguing against a position, make it as strong as possible. Defeat the best version of an argument, not the weakest.
People feel compelled to return favours, match concessions, and treat you the way you treat them.
Project yourself to age 80 and ask which choice you'll regret not making. That's usually the right one.
Don't evaluate the total — evaluate the next unit. The value of one more hour, one more dollar, one more feature is what matters.
Roughly 80% of effects come from 20% of causes. Find the vital few and ignore the trivial many.
We study the winners and forget the losers — which distorts our understanding of what actually causes success.
Money, time, or effort already spent should not influence future decisions — but it almost always does.
Separate decision quality from outcome quality. A good decision can have a bad outcome, and vice versa.
Improve by removing what's harmful rather than adding what might help. Subtraction often beats addition.
The first piece of information you encounter disproportionately shapes all subsequent judgments.
We judge the likelihood of events by how easily examples come to mind — not by actual frequency.
The same information presented differently leads to different decisions — even when the underlying facts are identical.
When a measure becomes a target, it ceases to be a good measure.
Small consistent gains accumulate into extraordinary results over time — in finance, skills, relationships, and knowledge.
Most outcomes cluster around the average, with extreme outcomes being rare — except when they are not.
Seek decisions where the potential upside vastly outweighs the potential downside — even if success is unlikely.
Humans compulsively construct stories to explain random events, creating false causation and illusory patterns.
Focus your energy on what you can control, accept what you cannot, and learn to tell the difference.
The best option within your current constraints may not be the best option overall — sometimes you need to get worse before you can get better.
Before removing something, understand why it was put there in the first place.
Well-intentioned interventions often produce the opposite of their intended effect when people respond strategically to new incentives.
Instead of asking how to improve by 10%, ask how to improve by 10x. The radical question forces you to abandon incremental approaches and find breakthrough solutions.
Hide complexity behind simple interfaces. You don't need to understand how an engine works to drive a car.
Some complexity is inherent to the problem. Some is created by the solution. Learning to tell the difference is a superpower.
People who bear consequences make better decisions. Design systems where decision-makers face the results of their choices.
When one side of a market has more information, the people most likely to participate are those who benefit most — often at the other side's expense.
We make judgments based on current emotions rather than objective analysis — if something feels scary, we overestimate its risk.
We start from an initial value (the anchor) and adjust insufficiently from it — our final estimate stays too close to the starting point.
One party in a transaction knows more than the other. This imbalance drives much of economic behaviour.
The tendency to adopt beliefs and behaviours simply because many other people do.
Combine extreme safety with small, high-upside bets. Avoid the dangerous middle.
We ignore how common or rare something is in general, and focus too much on the specific case in front of us.
Before evaluating specific evidence, check how common the thing is in general. The base rate is your starting point.
Every system has one constraint that limits overall throughput. Improving anything else is waste until you fix the bottleneck.
Offload information from your biological memory to an external system so your brain can focus on thinking, not remembering.
In complex systems, tiny changes in initial conditions can produce vastly different outcomes.
Before removing something that seems useless, understand why it was put there. It may serve a purpose you haven't noticed.
Focus energy on what you can control, not what you can't. Most worry is spent on the wrong circle.
We see patterns in random data — streaks, clusters, and trends that are actually just statistical noise.
We tend to prefer complex explanations and solutions over simple ones, even when the simple version works better.
Two things happening together doesn't mean one causes the other. Ice cream sales and drowning rates both rise in summer — but ice cream doesn't cause drowning.
Ask 'what if things had been different?' to separate skill from luck and find the real causes.
Economic progress requires old industries and methods to be destroyed by new ones. The process is painful but essential for growth.
Once you know something, you can't imagine not knowing it — making it hard to explain to someone who doesn't know it yet.
Adding a clearly inferior option makes one of the other options look more attractive by comparison.
Deliberately argue the opposing side to stress-test your own position.
Each additional unit of input produces less additional output. The first hour of practice helps more than the hundredth.
When consensus can't be reached and the decision is reversible, it's better to commit to one direction and learn from results than to debate indefinitely.
When comparing options side by side, we notice differences that wouldn't matter in actual use. The comparison mode distorts our evaluation.
People often fail to transfer knowledge from one domain to another, even when the underlying principle is identical.
Humans can maintain meaningful relationships with roughly 150 people. Beyond that, social cohesion requires formal structures.
We value things more once we own them — simply possessing something increases its perceived worth.
The average outcome for a group can be completely different from the typical outcome for an individual over time.
Multiply each possible outcome by its probability and sum them. The mathematically optimal choice is the one with the highest expected value.
A claim that can't be proven wrong isn't a strong claim — it's an unfalsifiable one. Good theories make specific, testable predictions.
In some distributions, extreme events are far more common than normal distributions predict. The tails are 'fat' — and that's where the real action is.
If you can't explain something simply, you don't understand it well enough. Teaching is the ultimate test of understanding.
Imagine all possible strategies as points on a landscape where height represents fitness. Evolution (and innovation) climbs toward peaks — but can get stuck on local hills.
Believing that past random events affect the probability of future random events — that a coin 'is due' for heads after several tails.
The best model isn't the most complex or the most elegant — it's the one that best fits your specific situation.
A positive impression in one area creates a biased positive impression in unrelated areas.
After something happens, we convince ourselves we knew it all along — even when we didn't.
Systems resist change and try to return to their equilibrium state — even when change would be beneficial.
We strongly prefer immediate rewards over future ones, even when waiting would give us much more. $100 today feels better than $120 next month.
The state of a system depends on its history, not just its current inputs. Damage doesn't always reverse when you remove the cause.
Sometimes the intervention causes more harm than the problem. The cure can be worse than the disease.
We evaluate evidence not by its quality but by whether it supports the identity of the group we belong to.
We overvalue things we helped create, regardless of their objective quality.
Never ask someone for their opinion on something when their income depends on giving you a particular answer.
Some decisions can be undone; others can't. The irreversible ones deserve disproportionate care.
The same message lands completely differently depending on who receives it. Effective communication starts with understanding the listener, not perfecting the message.
Small inputs that produce disproportionately large outputs. Time, capital, code, media, and labour can all be leveraged.
When buyers can't distinguish quality, sellers of high-quality goods exit the market because they can't get fair prices — leaving only low-quality goods.
We treat money differently depending on where it came from or what we've labelled it, even though a dollar is a dollar.
We prefer things simply because we've been exposed to them repeatedly — familiarity breeds liking, not contempt.
We don't want things independently — we want things because other people want them. Desire is borrowed, not original.
Find the smallest input that produces the desired result. More is not always better — sometimes it's waste.
When you're insulated from the consequences of risk, you take more risk.
The belief that you see the world objectively, and anyone who disagrees must be uninformed, irrational, or biased.
We give more weight to negative experiences, information, and emotions than to equally positive ones.
Some products become more valuable as more people use them — creating winner-take-all dynamics.
Instead of just adapting to your environment, actively shape it to suit your strengths.
Create situations with limited downside and unlimited upside. Keep your options open until you have to commit.
More options don't always make us happier — beyond a threshold, additional choices increase anxiety, regret, and decision paralysis.
Where you end up depends heavily on where you started and the sequence of steps taken — not just the destination's inherent qualities.
We judge experiences primarily by their most intense moment and their ending — not by the average or total.
We systematically underestimate how long tasks will take, even when we have direct experience of past overruns.
In many systems, a small number of inputs produce the vast majority of outputs. Distributions are rarely equal.
Don't perfect what you haven't validated. Optimising the wrong thing wastes more effort than doing nothing.
Charging different prices to different customers for the same product, based on their willingness to pay.
When someone acts on your behalf, their interests may diverge from yours.
When two parties would both benefit from cooperating but each has an individual incentive to defect, the result is often mutual loss.
Judge decisions by the quality of the reasoning, not the quality of the result. Good processes sometimes produce bad outcomes, and vice versa.
When people feel their freedom is threatened, they do the opposite of what's being asked — even if compliance would benefit them.
Before acting, assess the context, stakeholders, incentives, and power dynamics. The same action produces different results in different rooms.
Build slack into systems. The backup you never use isn't waste — it's insurance against the failure you can't predict.
Extreme performances tend to be followed by more average ones — not because of any causal force, but because extreme results are statistically unusual.
Sometimes the best move isn't adding something new — it's removing something that's holding you back.
Choose the first option that meets your criteria rather than exhaustively searching for the best possible option.
Imagine multiple futures, not just one. Prepare for several plausible outcomes rather than betting everything on a single prediction.
We fail to scale our emotional response proportionally. Saving 200,000 birds doesn't feel 100x more important than saving 2,000.
The sample you're looking at isn't random — it was filtered in ways you may not notice.
Most information is noise. The skill is filtering for the signal — the rare data points that actually change your understanding.
Any component whose failure causes the entire system to fail. The question isn't whether it will fail — it's whether you've prepared for when it does.
People with something to lose make better decisions than those who are insulated from consequences.
Specialists exploit narrow advantages efficiently. Generalists adapt to change flexibly. The optimal strategy depends on environmental stability.
We overestimate how much other people notice our appearance, behaviour, and mistakes.
We prefer the current state of affairs simply because it's familiar — even when alternatives are objectively better.
A strawman weakens an opponent's argument to make it easy to defeat. A steelman strengthens it to ensure you're engaging with the best version.
Searching for answers where it's easy to look, rather than where the answers actually are.
Organisms (and organisations) can form mutually beneficial relationships where both parties gain more together than either would alone.
Goals are about the end state you want to reach. Systems are about the process you follow every day. Systems-oriented people tend to outperform goal-oriented people.
Quick shortcuts today create compounding costs tomorrow. Like financial debt, technical debt accrues interest — and eventually the interest payments exceed the original savings.
The longer something has survived, the longer it's likely to continue surviving. Age is a positive signal for ideas and systems.
People are promoted based on their current performance until they reach a role they're incompetent at — where they remain.
Form a hypothesis, design a test, observe results, update your beliefs. The most reliable process for separating truth from opinion.
When everyone has access to a shared resource and acts in self-interest, the resource gets depleted.
There are things you know you don't know (known unknowns) and things you don't even know you don't know (unknown unknowns). The second category is where the real danger lives.
Improvement by subtraction (removing what's harmful) is often more reliable than improvement by addition (adding what's beneficial).
Some problems have no definitive formulation, no stopping rule, and no test for a solution. Recognising them changes how you approach them.
In competitive bidding, the winner often overpays because winning means you valued the item more than everyone else — likely too much.
Some situations have a fixed pie where one person's gain is another's loss. Many situations have an expandable pie where everyone can gain.