Mindshare's black box scoring actually only recognizes verifiable information.

TermMax's Mindshare mechanism is simple:

Data is only counted within 72 hours after publication

Automatically collected by system API

Scoring formula is not disclosed

Finally, manual review

This means the system only recognizes signals, not emotions.

Therefore, content naturally falls into two categories.

One: Opinion-based content

Features:

More conclusions

Strong emotions

Lack of sources

Difficult to verify

Interaction may be high, but the system finds it hard to confirm its validity.

The other: Evidence-based content

Features:

Each conclusion has a source

Can point to documents, product pages, or on-chain data

Risks are written as conditions

Logic can be replayed

This type of content is easier for APIs to pick up signals from, and also easier for manual review.

Therefore, under black box scoring, what creators truly need to deliver is:

A chain of evidence, not just opinions.

Simply put:

Opinions can only be read.
Evidence can be verified.

The essence of black box scoring is to filter verifiable information, not the most lively content.