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@CryptoLearnEn: statistics and cleanliness index

English | Crypto Learn

Home of Learners and Earners! Buy ads: https://telega.io/c/CryptoLearnEn Ads: @Damien_12

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Grade C some metrics deviate cleanliness index
data from 2026-11-02
Subscribers
18,078
Median views
5,184
ERR
28.7%
Posts sampled
40
Niche Cryptocurrencies
Post language English
Channel age 5 years

Data from 2026-11-02 — 5 days old.

Assessment summary

English-language crypto channel: short market news and educational breakdowns with infographics — from falling BTC spot volumes per Glassnode data to the growing number of bitcoin millionaires. The feed comes out rarely: on average one post every ten days, the last one 11 days ago, and about a fifth of the latest message numbers have been deleted.

ERR is 28.7% lower than in each of the similar crypto channels in the catalog with a comparable subscriber base, and that with an almost complete lack of response: reactions — 0.06% of views. The audience reads but does not react — hence the disputed verdict on placement: ads here will get few noticeable responses beyond the views themselves.

About the channel

English-language crypto channel: short market news and educational breakdowns with infographics. It covers moves by large bitcoin holders, ETF flows, BTC dominance and altcoin prices; there are also explainer posts like "how cross-chain bridges work". The channel is over five years old, almost all posts are an image with a caption.

In the catalog it stands next to @cryptomarketintelhq, @cryptoassetreport and @crypto_world_unity. By size it is smaller than @cryptoassetreport (112 thousand subscribers) and @crypto_world_unity, roughly like @cryptomarketintelhq, but the share of subscribers who see a post is lower than in each of those three channels.

What it publishes:

  • Market news: short roundups — BNB rising to $1000, record inflows into bitcoin ETFs, Amazon and Walmart stablecoin plans.
  • On-chain breakdowns: posts with Glassnode and CryptoQuant charts on spot volumes and capital rotation into altcoins.
  • Infographics: charts on the number of bitcoin millionaires, Hyperliquid revenue per employee, Ethereum among the top 25 assets.
  • Crypto basics: explanations of basic topics — cross-chain bridges, how stablecoins work.

Posts more often come out at night and during the day, mostly on weekdays. The channel does not forward other people's posts, ads are rare — a debit card post and a promo for a classified ads service. They post rarely and briefly: about once every ten days a note with an image comes out.

By subscribers, it ranks #40 of 83 channels in the Cryptocurrencies niche of the catalog.

What to pay attention to

Views without engagement (reactions ≈ 0.056% of views)

Views are there, reactions are almost absent. Usually with this reach at least someone reacts to posts.

What grade C means

Some metrics fall outside usual values — for example reach, view spread or reactions. The “How the assessment was produced” section shows which ones.

Channel content

📣 Heavy advertising load

The feed contains separate native ad posts: a debit card post with a sign-up bonus and a promo for a Telegram ad placement service.

Compared with similar channels

Compared with 24 Cryptocurrencies catalog channels whose metrics look normal. They are a similar size: 6,344 to 52,026 subscribers.

ERR (reach) higher than 16 of 24
@CryptoLearnEn 28.7%
similar channels median 16.2%
Reactions per 100 views lower than 19 of 19
@CryptoLearnEn 0.06
similar channels median 0.62

This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.

Dynamics and anomalies

Scroll horizontally to see the full charts.

Views by post

The latest 40 posts with views, from May 27 to Oct 22. The dashed line is the median (5,184).

013K27KMay 27: 4,027 viewsMay 28: 4,468 viewsMay 29: 4,301 viewsMay 30: 5,768 viewsJun 1: 6,363 viewsJun 2: 7,684 viewsJun 3: 8,144 viewsJun 5: 6,522 viewsJun 7: 6,732 viewsJun 8: 5,276 viewsJun 8: 6,157 viewsJun 9: 6,185 viewsJun 9: 8,688 viewsJun 10: 8,018 viewsJun 12: 7,401 viewsJun 13: 6,479 viewsJun 15: 5,221 viewsJun 16: 4,994 viewsJun 18: 4,717 viewsJun 20: 5,490 viewsJun 22: 5,147 viewsJun 24: 4,664 viewsJun 24: 5,766 viewsJun 29: 5,025 viewsJul 7: 8,660 viewsJul 12: 4,512 viewsJul 12: 4,907 viewsJul 16: 4,537 viewsJul 19: 5,314 viewsJul 24: 4,432 viewsAug 10: 4,643 viewsAug 13: 4,295 viewsAug 21: 3,959 viewsAug 21: 5,366 viewsAug 31: 4,717 viewsSep 19: 4,547 viewsOct 8: 26,729 viewsNov 22: 3,895 viewsApr 30: 2,573 viewsOct 22: 806 views May 27Oct 22
  • post views
  • median 5,184

Maximum: 26,729 views. Data as of Nov 2.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

The channel's data has been collected once — the chart will appear after the next update.

Advertising outlook

Advertising placement: questionable.

The audience barely reacts to posts.

About 685 people will see your post in the first 48 hours.

Few recent posts, so this is a rough forecast.

Reach of advertising posts

Too few advertising posts to compare: 2.

Without an ad label: 2 posts.

Buy advertising

Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.

We don't sell ads. This channel may not be listed there.

Where to buy advertising

Affiliate links: we get a commission. It never affects the channel's score.

Questions about @CryptoLearnEn

How clean is the channel according to the check data?

The cleanliness index is 55 out of 100, grade C, level "there are deviations". The index was lowered by the almost complete absence of reactions (0.06% of views) and the deletion of some messages.

What share of subscribers sees a post in @CryptoLearnEn?

ERR is about 28.7%: with 18 thousand subscribers, the median views are 5184. That is a smaller share than in similar crypto channels of the catalog.

Can I place ads here?

Placement is marked as disputed: the audience is passive, there are almost no reactions. The reach of ad posts was not calculated — there are too few ad posts in the sample for a median.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-11-02
Sample
The latest 40 public posts available at check time.
Calculation method
TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
Factual result
The @CryptoLearnEn assessment dated 2026-11-02 uses 40 recent public posts. At that snapshot the channel had 18,078 subscribers, median post views were 5,184, ERR was 28.7%, and the cleanliness index was 55/100.
Limitations
This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.

Full methodology and interpretation rules

This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.