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Fake engagement check for @womenschools

Женская Школа Успеха — public reach metrics and manipulation-risk assessment dated 2026-09-05.

Женское сообщество,где каждая участница может найти единомышленниц и бизнес-партнёров. По всем вопросам: @AlenaA8993 https://telega.in/c/womenschools https://knd.gov.ru/license?id=676e9e28506f9677287dcdc6&registryType=bloggersPermission

Grade F high manipulation risk cleanliness index
checked 2026-09-05
Subscribers
14,700
Median views
7,362
ERR
50.1%
Posts sampled
40
Niche Business & startups

Assessment summary

An abnormally low view variance (CV 0.03) combined with reach covering about half of the subscribers indicates likely automated padding of fixed numbers onto each post. With comments disabled and 18% of posts deleted, an advertiser risks paying for bot traffic instead of engagement from a real female audience, especially given that the channel has not been updated for over a week.

Compared with similar channels

Compared with 25 checked Business & startups channels with no visible signs of manipulation. They are a similar size: 5,043 to 42,472 subscribers.

ERR (reach) higher than 24 of 25
50.1% for @womenschools similar channels median: 9.2%

This is not a niche norm: only channels checked by the service are included. An unusually high ERR can also be a sign of inflated views.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-05
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 @womenschools assessment dated 2026-09-05 uses 40 recent public posts. At that snapshot the channel had 14,700 subscribers, median post views were 7,362, ERR was 50.1%, and the cleanliness index was 30/100.
Limitations
This is a probabilistic assessment based on public data, not proof of intentional manipulation or a real-time channel measurement.

Full methodology and interpretation rules

Advertising outlook

Advertising placement: not recommended.

Some of the views may be fake.

Not calculated: a noticeable share of views looks fake.

Reach of advertising posts

No advertising posts among the latest 40.

What grade F means

High manipulation risk: strong signs of bots or inflated views. Better not to buy ads here.

What to pay attention to

Unnaturally flat views (CV ≈ 0.03)

Views barely differ from post to post. In an authentic channel, variance is always noticeable; perfectly flat numbers are a sign of automated view boosting.

Dynamics and anomalies

Views by post

The latest 40 posts with views, from Jun 25 to Aug 25. The dashed line is the median (7,362).

04K8KJun 25: 7,565 viewsJun 27: 7,493 viewsJun 27: 7,724 viewsJun 27: 7,151 viewsJun 27: 8,030 viewsJun 27: 7,490 viewsJun 27: 7,338 viewsJul 24: 7,354 viewsJul 24: 7,344 viewsJul 24: 7,278 viewsJul 24: 7,080 viewsJul 24: 6,902 viewsJul 24: 7,287 viewsJul 24: 7,117 viewsJul 24: 7,031 viewsJul 29: 7,633 viewsJul 29: 7,754 viewsJul 29: 7,437 viewsJul 29: 7,776 viewsJul 29: 7,386 viewsJul 29: 7,474 viewsJul 31: 7,370 viewsJul 31: 7,470 viewsJul 31: 7,404 viewsJul 31: 7,294 viewsJul 31: 7,467 viewsAug 11: 7,492 viewsAug 11: 7,643 viewsAug 11: 7,355 viewsAug 11: 7,443 viewsAug 11: 7,161 viewsAug 11: 7,249 viewsAug 25: 7,192 viewsAug 25: 7,138 viewsAug 25: 7,331 viewsAug 25: 7,283 viewsAug 25: 7,460 viewsAug 25: 6,842 viewsAug 25: 7,336 viewsAug 25: 7,711 views Jun 25Aug 25

Maximum: 8,030 views. Data as of Sep 5.

What scoring found in the view pattern

Unnaturally flat views (CV ≈ 0.03)

Views barely differ from post to post. In an authentic channel, variance is always noticeable; perfectly flat numbers are a sign of automated view boosting.

What could not be calculated

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

Cleanliness-index history

The channel has been checked once — the chart will appear after the next check.

Check today: @womenschools

Data from 2026-09-05 — 18 days old. Check the channel today before buying ads.

Monitor this channel

The bot will recheck @womenschools and message you if reach drops, subscribers jump, or the cleanliness index changes.

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