Somewhere along the way, every opinion started requiring a peer-reviewed study. Every observation needs a sample size. Every gut feeling has to be validated by a spreadsheet before anyone takes it seriously. The reflex is so automatic now that we barely notice it.
"What's your source?" "Citation needed." "Do you have any statistics to support that?" These have become conversational defaults. They sound rigorous. They are often the opposite — a way to opt out of thinking by pretending the burden of proof rests entirely on the other person.[1][2]
Data is incredibly valuable. It helps us make better decisions, avoid biases, and understand complex systems. I am not anti-data. I run a company where measurement is a daily practice. But I have watched smart people refuse to engage with an obvious pattern because nobody had run a study on it yet, and I have watched mediocre charts win arguments they had no business winning.
The cost of "show me the data" as a reflex is that it shrinks the surface area of what gets said out loud. People stop sharing observations because they cannot immediately defend them. The most experienced practitioners — the ones whose gut is most worth listening to — go quiet, because they know the ritual cost of speaking up without a deck.
I've argued elsewhere that intuition is a real form of knowledge, and that the middle ground between data and gut is where most decisions actually live. The starting move is to stop treating "I just noticed something" as a failed attempt at evidence. It is its own thing. Sometimes it is the most honest sentence in the room.
Related Essays
The Case for Intuition
Pattern recognition, experience, and inherited wisdom are real forms of knowledge. They are not a substitute for data, but they are not noise either.
Finding the Balance Between Data and Intuition
A practical middle ground. Use data where stakes are high, intuition where speed matters, and intellectual honesty everywhere in between.
Embracing Uncertainty in Conversation
The best exchanges happen when people feel safe to speculate and admit they do not know. "No stats whatsoever" and "always exceptions" build that space.
Key takeaways
- Demanding receipts for every observation is a defensive posture, not a rigorous one.
- Not everything worth saying can be quantified, and pretending otherwise narrows what gets said.
- Data is a tool. So is observation. Treat them as complements, not as a hierarchy.
FAQ
Is this an argument against evidence?
No. Evidence matters when stakes are high. The argument is that reflexively demanding evidence in casual exchanges shuts down thinking rather than sharpening it.
When does the demand for data become tyranny?
When it stops being a request for rigor and starts being a way to dismiss anything you cannot immediately disprove with a chart.