Education & science Creators on YouTube: 28 Indexed

This is the pool of Education & science creators on YouTube within Entertainment — 28 of them. The narrower the niche, the higher the reply rate; searching broadly for "Entertainment creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 31,300, 4.8× the index-wide median of 6,482 — expect higher rate cards.
• Average authenticity is 49/100 against 55/100 index-wide — worth raising your authenticity floor before shortlisting.
• 0% publish an email or IM handle against 7% index-wide — more dependent on platform DMs, so outreach costs more here.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• Cleo Abram (@CleoAbram) — Space and astronomy facts

• @ColdFusion — Tech company failures and disasters

• @CrunchLabs — Science experiments and demos

• The Operations Room (@TheOperationsRoom) — WW2 battles and Pacific theater operations

• @Sideprojects — Historical disasters and accidents

• Forged in Fire (@ForgedInFire) — Historical weapon forging and recreation

• Destiny Sidwell (@whatsdesreading) — book recommendations and reviews

• Future Business Tech (@FutureBusinessTech) — AI-generated content and AGI

• Team Liquid Chess (@TeamLiquidChess) — Magnus Carlsen Guess the Elo series

• Kai Idea / โลกการเงิน (@kaiideapodcast) — How countries became wealthy (Norway

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Education & science" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.