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@mathprofi01: statistics and cleanliness index

Не только ЕГЭ | Математика и жизнь

▫️преподаю уже как 11 лет ▫️Profi ru* 330 отзывов ▫️2 высших технических+ 2 пед. диплома ▫️нетипичная и безумно люблю свое дело 📝 @twoNMath

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Grade A+ metrics look normal cleanliness index
data from 2026-10-19
Subscribers
100
Median views
260
ERR
260%
Posts sampled
40
Niche Education
Post language Russian
Channel age 1 year

Data from 2026-10-19 — 18 days old.

Assessment summary

A math channel: short notes on the history of numbers and formulas, breakdowns of probability theory paradoxes, and school memes; it has been running for 14 months.

By the share of subscribers who see a post, it is ahead of all similar channels in the catalog: ERR 260% vs. a median of 19.9%, reactions — 5.1% of views vs. 0.81% for the group. But behind this share is a small base: a median of 260 views, so in absolute terms, hundreds of people will see the ad. The data also shows that about 25% of the latest message IDs are missing, and a new post comes out about once every five days.

About the channel

A math channel for those interested in numbers and school: here they explain where coordinate axes and the percent sign came from, explain probability theory paradoxes, and joke about lessons. It is run in Russian with photos, infographic images, and short videos; the channel is 14 months old.

In the catalog, next to it are @totsamyiteacher — a teacher’s channel with stories from schools — and @retrospektivaru about science and philosophy. This channel has fewer subscribers than both, but a larger share of its subscribers sees a post than for @totsamyiteacher and @retrospektivaru.

What it publishes:

  • History of mathematics: how coordinate axes, the number π, and the root sign appeared.
  • Paradoxes and probability: an analysis of the gambler's fallacy and problems where the answer defies intuition.
  • Large numbers: Graham's number and googolplex with clear comparisons.
  • Humor: memes about notebooks, exams, and “the square kills the root sign.”

Posts are published in the morning and afternoon, mostly on weekdays, about once every five days; there are no forwards from other channels in the feed. By subscriber count, this is one of the smallest channels in the niche. Expect rare short notes with images — no ads or reposts.

By subscribers, it ranks #24 of 26 channels in the Education niche of the catalog.

What grade A+ means

The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.

Channel content

🤖 Possible AI-generated content

Some of the illustrations — a cat by a mirror, a character shaped like the number π, percent signs — look AI-generated; the texts themselves are substantive, with no ads or promises.

Compared with similar channels

Compared with 21 Education catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 69 to 477,601 subscribers.

ERR (reach) higher than 21 of 21
@mathprofi01 260%
similar channels median 17.6%
Reactions per 100 views higher than 17 of 19
@mathprofi01 5.1
similar channels median 0.47

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 Apr 24 to Oct 15. The dashed line is the median (260).

0185370Apr 24: 265 viewsApr 26: 320 viewsApr 28: 254 viewsApr 30: 261 viewsMay 4: 259 viewsMay 5: 271 viewsMay 7: 225 viewsMay 8: 235 viewsMay 12: 149 viewsMay 13: 271 viewsMay 15: 313 viewsMay 19: 263 viewsMay 21: 183 viewsMay 28: 271 viewsMay 30: 148 viewsJun 3: 263 viewsJun 5: 296 viewsJun 10: 322 viewsJun 25: 289 viewsJul 4: 262 viewsJul 6: 287 viewsJul 9: 365 viewsJul 20: 316 viewsJul 31: 318 viewsAug 17: 370 viewsAug 20: 356 viewsAug 20: 341 viewsSep 1: 147 viewsSep 6: 127 viewsSep 18: 119 viewsSep 21: 111 viewsSep 22: 94 viewsSep 25: 97 viewsSep 28: 78 viewsSep 30: 93 viewsOct 2: 115 viewsOct 7: 91 viewsOct 9: 80 viewsOct 13: 60 viewsOct 15: 58 views Apr 24Oct 15
  • post views
  • median 260

Maximum: 370 views. Data as of Oct 19.

What could not be calculated

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

Cleanliness-index history

2 checks for this channel.

050100Aug 31: index 100, grade A+Aug 31Oct 19: index 100, grade A+Oct 19

Advertising outlook

Advertising placement: reasonable.

Not enough posts for a forecast.

Reach of advertising posts

No advertising posts among the latest 40.

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 @mathprofi01

Is the channel clean? What does the index show?

The cleanliness index is 100 out of 100, grade A+, level “metrics within normal range”: the check found no signals that lower the index. The confidence of the assessment is low: the channel is small, only 100 subscribers.

Why are there more views than subscribers?

The median views are 260 with 100 subscribers, so ERR is about 260%. The data does not show exactly where the views come from: they could be old posts that gained an audience earlier, or visits from outside.

Can I advertise here?

Placement is marked as justified. At the same time, there were no ad posts in the sample, and the median views are 260, so the reach of one post is measured in hundreds.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-19
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 @mathprofi01 assessment dated 2026-10-19 uses 40 recent public posts. At that snapshot the channel had 100 subscribers, median post views were 260, ERR was 260.0%, and the cleanliness index was 100/100.
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.