Technological skepticism: how to evaluate extraordinary claims, from UFOs to AI

Between the gullible and the cynic

There are two easy and wrong ways to react to an extraordinary claim. The gullible believes everything: saw the UFO video, shared it; heard that AI will replace everyone, panicked. The cynic believes nothing: it is all lies, all hype, all worthless. The two look like opposites, but they make the same mistake — they decide without method, on emotion alone.

This whole series was, at bottom, about the middle path: constructive skepticism. Not automatic disbelief, but disciplined doubt that asks for evidence before concluding.

Sagan's ruler

Carl Sagan summed it up in one line: extraordinary claims require extraordinary evidence. It is a ruler, not a wall. It does not say do not believe — it says calibrate the size of the proof to the size of the claim.

• Someone claims they switched suppliers? Ordinary evidence is enough.
• Someone claims a light in the sky was an interstellar craft? The bar rises a lot — because the mundane explanation (drone, satellite, plane, reflection, generated video) is statistically far more likely.
• Someone claims a software will solve every problem in your company? High bar too — products that promise everything tend to deliver little.

Four questions that defuse almost anything

Facing any claim — in the sky, on LinkedIn, in a sales proposal — run these four:

1. What exactly is the evidence? Not the impression, not the feeling. The data. If the answer is everyone knows or it is obvious, there is no evidence.
2. What is the simplest explanation? Occam's razor is not always right, but it is the right place to start. Between alien and drone, start with the drone.
3. Who benefits from my believing it? Incentive does not invalidate a claim, but it shows where to check more carefully.
4. What would change my mind? If nothing would, you do not have an opinion — you have a faith. This cuts both ways: the gullible and the cynic usually have no answer here.

Why this is a technology skill

It may sound like philosophy, but it is the daily practice of anyone dealing with technology. The technology radar is skepticism applied to the future: it separates the mature from the promised. Telling AI content apart is skepticism applied to media: it separates the real from the fabricated. Treating technology as infrastructure is skepticism applied to investment: it separates foundation from decoration.

It is all the same muscle. And like any muscle, it grows with use and atrophies with laziness.

The cost of not having the muscle

Companies that do not cultivate this skepticism swing between two failures. Sometimes they buy every hype and burn money on technology that never matured. Sometimes they reject everything out of distrust and get overtaken by whoever bet at the right time. Constructive skepticism is what allows you to bet with criteria — neither paralyzed by fear nor hypnotized by novelty.

Closing the series

We started with lights over Campo Largo and ended with a way of thinking. The thread was always the same: in a world where it is cheap to manufacture the appearance of truth — a light, a video, a promise of revolution — the advantage goes to whoever knows how to ask for evidence in the right measure.

You do not need to know whether there was a craft over Campo Largo. You need to know how to decide what to believe when the next light appears. And it will appear — in the sky, in your inbox, in the next vendor meeting. When it does, your radar is already on.

If you want to talk about how to apply this kind of thinking — and of technology — in your business, that is exactly the kind of conversation I have every week. Reach out for a virtual coffee.