We are addicted to proof.
That social reflex where anything that cannot be cleanly demonstrated right now is treated as noise, weakness and incompetence.
"Show me data."
"Give me one example."
"If you cannot name it, you are just imagining it."
That mindset is great for small, measurable, short-loop problems. But it is also a fantastic way to miss early warnings, kill long-term strategy, and slowly optimize your life (and business) for whatever fits in a chart.
Life, the world, and people are way too complex to demand proof of everything and then pretend that short-term thinking is "rational".
Proof, Data, Directness - the same problem in different clothes
When I say "proof", I mean the whole family: data, metrics, direct cause and effect, immediate results, and the classic "give me one example".
This wording is comforting because we are taught that it’s objective. It has numbers. It has screenshots. It has receipts.
But it has two problems nobody likes to admit nor hear.
- It is incomplete. We cannot measure everything that matters. Not even close.
- It is interpreted. People choose what to measure, how to measure it, and what story it should tell. The spreadsheet does not protect you from bias. It just makes the bias take the shape of numbers.
Combine those two, and you get the most common failure mode on Earth - people trust whatever is measurable and dismiss whatever is not. And then they act surprised when reality does not match their dashboard.
The "Give Me One Example" Fallacy
You have seen this pattern a thousand times:
Person A: "I remember you’ve been doing X all the time."
Person B: "Give me one example when."
Person A: "I cannot remember a specific situation."
Person B: "So it never happened."
This feels logical, but it is not. It is exploiting how memory works - and it is often a convenient escape hatch for denial. It is typically accepted and kills any further conversation, because the entirety of society is trained for proof being the only way.
Humans are better at recognition than recall. When you see the pattern again, you instantly recognize it and it presents itself as a vague abstract memory. But when someone forces you to produce a clean example on demand, your brain can blank.
That does not mean the pattern is fake. It means your brain is not a database query engine.
"Cannot recall a timestamped example right now" is not the same as "this never happened".
And we apply the same stupid logic to everything else. A feeling without a pinned-down reason gets treated as invalid. That is how people train themselves to ignore early signals.
Intuition, Sensing, Indirection - also belong together
Now the other family: intuition, "I feel like...", instinct, indirect progress, pattern recognition without words.
This family gets mocked because it is messy on paper. It cannot always explain itself. It sounds like vibes, not truth.
Intuition has one unfair advantage: it often detects change before your measurements do.
Not because it is magical. Because your brain is the best tool we have to compare "what is happening" to "what usually happens". Once there is the slightest change, it often shows up as a feeling of "something is off".
Intuition is a signal. Proof is a tool. And you have both to your advantage, start using it.
The Olive Problem - a familiar story
There is a famous airline story that keeps doing rounds - American Airlines allegedly saved money by removing a single olive from each salad on board. Tiny change and huge scale means savings around $40k per year. The story might be true, might be exaggerated - it does not really matter here.
What people usually take from it is "customers will not notice tiny changes."
Well... yes they do. Not as "I counted the olives", but as "something is different, missing, not as usual". They cannot always point to the thing, but their next decisions are affected by it.
Most customers will not change a thing. A few are swayed by other options presented to them. Some simply trust you a bit less. And trust is one of those things that is invisible right until it is gone.
Proof culture wants to say - if they cannot name the olive, it is nothing.
Reality says - your future is built from a million tiny "it’s nothing" moments.
Personal Story - when intuition beat the dashboard
We had a client running an event. Events always generate a percentage of confused users. That is normal.
This time, nothing looked broken by the metrics we had, even by typical personal verifications. The percentage of issues was normal. No alarms anywhere.
But something felt unusual. Not the number of messages or calls. Not even the type of issues.
So we did a deeper check anyway - and found a real issue. We fixed it quickly, prevented a larger mess, and saved trust for both us and the client.
Data did not tell us. The wording did not explicitly tell us. Intuition did.
And this is the part most people miss - sometimes your metrics are fine because your metrics are not measuring the thing that changed.
Why Intuition is Hard to Trust - and why people demand proof
Now the self-counterargument, because no one way is perfect.
Intuition is not always "the world is wrong". Sometimes it is "you are wrong today". Bad sleep, stress, ego, insecurity, hunger, a bad week, a personal trigger - all of that can create false alarms.
A person may constantly feel that "it is not ready for prime time" because they never shipped a product and do not understand what "ready" looks like. Their signal is real, but it is not about the product. It is about the person.
And there is the bigger social problem: trusting intuition often means trusting another human. Have you ever tried that? Not easy.
A startup founder claims they will create a better, more ethical, more pro-consumer, and more profitable Amazon, starting now, making it happen in 20 years.
Would you believe them?
Probably not. And that skepticism is not irrational. The world is full of people selling stories.
So yes - intuition can mislead you. But evidence-only thinking can mislead you too. It just does it with confidence and a graph.
We Should Not Hang on Evidence Only
Proof, evidence, and directness love short time horizons.
Quarterly profit is measurable. Long-term trust is not... until it goes under.
This is why you see organizations making decisions that look insane after a bit of time, while still being "based on evidence" in the moment. Evidence and looking for direct results tend to reward what is easy to count and quick to show.
And the danger is not just "bad decisions". The deeper danger is short-term thinking becoming the default personality of the whole system, while the whole system turns upside down in short years.
A Concrete Example of the Pattern - it’s not just theory
Microsoft Windows has increasingly leaned into recommendations, offers, and promotional content - invasive ads.
So people start feeling obstructed in work, annoyed by "I did not search for this", and generally less in control. Add the feeling of more friction, more nonsense, less snappiness, and more things trying to sell you something because the software gets lower priority (therefore lower quality).
Maybe you can measure every part of that. Maybe you cannot. But the feeling is real and widespread, and it is not random. It is pattern recognition reacting to priorities shifting.
Then you get real-world consequences. For example, governments and institutions start seriously looking at open-source alternatives for sovereignty and control, because trust is not just about features - it is about who you believe is driving the car.
You can debate every technical detail. But the story arc is familiar - something changes, people feel it before they can fully prove it, and the long-term consequences arrive later after years of accumulated friction.
And yes, executives know this. But try standing in front of investors and saying "We could make more money this year, but we will not, because we are protecting long-term trust.".
Those are wise words. Career-ending words.
"That's why we can't have nice things"
When you demand proof for everything, you mostly fund:
- incremental improvements
- safe bets
- obvious ROI
- short-loop projects
You do not fund:
- weird long-term bets
- things that need time to compound
- brand trust
- "this is important but I cannot prove it yet"
And then we act confused why the world is full of copy-paste products and risk-averse decisions.
This is the cultural cost of worshipping direct proof.
Today’s Visionaries Got Laughed At -because the proof was not existent yet
Jeff Bezos is a clean example because he was explicit about prioritizing long-term value over short-term appearance. Amazon's early narrative was basically: scale matters, long-term matters, short-term profit is not the only scoreboard.
He took plenty of skepticism for it in the early years when profitability looked ugly or unclear.
Elon Musk and Tesla is a similar story: Musk has described Tesla being "single-digit weeks" from death during periods of extreme pressure.
The point is not "these guys are heroes". The point is - if you require clean proof and a direct path early, you delete entire categories of long-term outcomes from your decision space.
If your filter is "show me the proof right now", you will mostly build things that can show proof right now.
Congrats. You will be very busy and very average.
What I Am Arguing For
What I want is more conversations that do not end with “when!?”.
Conversations that take into account the word of a qualified person, even when they cannot immediately package their experience into a clean example or a neat metric.
I am not saying “trust intuition blindly”.
Use it the way you would use a smoke alarm. Not as a court verdict, but as a reason to stop, look closer, and actually think.
This is not only about discovering problems. It is also about building things that matter. Once you have built enough, you start to feel what is good in your next project and what is bad. And if you feel like taking your time because something will be useful and profitable later, you may just be right — even if you cannot prove it yet.
If you keep asking only for proof and numbers, you will miss early warnings, slow shifts, and some of the biggest opportunities simply because they looked unprovable at the time.
Intuition is a signal.
Proof is a tool.
Treat the signal seriously. Then do the work.