Most Crypto Research Is Noise. Here's How to Filter It.

The crypto industry produces an extraordinary volume of research, and the vast majority of it is worthless.

Not because the authors lack intelligence, but because the incentives are misaligned. Most research exists to generate attention, justify existing positions, or market a product.

Genuinely disinterested analysis is rare enough that finding it consistently is itself a form of edge.

I use three filters. Apply them in order.

Filter 1: Descriptive vs. predictive

Separate descriptive claims from predictive claims.

A report that tells you what has happened on-chain over the past month is providing data. A report that tells you what will happen next is providing opinion. Both have value, but they require different levels of scrutiny.

When someone tells you where an asset is going without explaining the model that generates that prediction, you are consuming entertainment, not research.

Filter 2: Disconfirming evidence

Serious research engages with the strongest counter-arguments.

It identifies what would have to be true for the thesis to be wrong and investigates whether those conditions hold. If a piece of analysis only presents evidence that supports its conclusion, it is advocacy, regardless of how sophisticated the language is.

The asymmetry of information in crypto means that the people publishing research often have material incentives you cannot see. The only defence is to evaluate the structure of the argument rather than the credentials of the author.

Filter 3: Time

The most reliable signals in any domain are the ones that persist after the initial excitement fades.

A narrative that is everywhere for two weeks and then disappears was never a signal. It was a coordinated attention event.

The research worth reading identifies structural shifts: things that change the underlying mechanics of how a protocol works, how capital flows, or how users behave.

Putting it together

Apply all three filters consistently and you will eliminate roughly 90% of what crosses your feed. That is not a loss. That is the point.

The remaining 10% is where your time and attention actually compound into understanding.