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Fake engagement check for @otbivnoy_1

Otbivnoy store. — public reach metrics and manipulation-risk assessment dated 2026-09-24.

🤝Более 440 положительных отзывов🤝 Продажа оригинальной продукции. Любые проверки✅ Личная встреча в г.Санкт-Петербург/шип/гарант🇷🇺

Grade D some signals require caution cleanliness index
checked 2026-09-24
Subscribers
504
Median views
383
ERR
76.0%
Posts sampled
40
Niche Fashion
Post language Russian
Channel age 4 years

Assessment summary

For a small e-commerce channel with 504 subscribers, the deletion of about 71% of posts is often explained by cleaning up sold items from the catalog; however, the combination of a reach exceeding 75% and closed comments suggests possible view boosting. Due to the risk of artificial activity, placing ads here appears questionable.

Compared with similar channels

Compared with 13 checked Fashion channels with no visible signs of manipulation. There are too few channels of a similar size, so the whole niche is used: 95 to 160,881 subscribers.

ERR (reach) higher than 11 of 13
76% for @otbivnoy_1 similar channels median: 45.3%
Reactions per 100 views higher than 7 of 12
1.49 for @otbivnoy_1 similar channels median: 1.21

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
2026-09-24
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 @otbivnoy_1 assessment dated 2026-09-24 uses 40 recent public posts. At that snapshot the channel had 504 subscribers, median post views were 383, ERR was 76.0%, and the cleanliness index was 50/100.
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: questionable.

Some of the views may be fake.

Not enough posts for a forecast.

Reach of advertising posts

No advertising posts among the latest 40.

What grade D means

Clear signs of manipulation: several strong signals at once. Ads here are risky.

What to pay attention to

It looks like some posts have been deleted (≈71% gaps in numbering)

There are many gaps in the numbering of recent posts—some posts have been deleted. This is often done to hide completed ad placements and conceal their actual reach. On its own, this is an indirect sign (posts are also deleted during edits).

Dynamics and anomalies

Views by post

The latest 40 posts with views, from Sep 1 to Sep 24. The dashed line is the median (383).

0320641Sep 1: 340 viewsSep 1: 383 viewsSep 1: 384 viewsSep 1: 384 viewsSep 1: 381 viewsSep 1: 383 viewsSep 1: 419 viewsSep 1: 422 viewsSep 1: 420 viewsSep 1: 413 viewsSep 1: 416 viewsSep 3: 310 viewsSep 3: 311 viewsSep 3: 309 viewsSep 3: 313 viewsSep 3: 320 viewsSep 3: 321 viewsSep 3: 318 viewsSep 3: 322 viewsSep 3: 397 viewsSep 3: 400 viewsSep 3: 410 viewsSep 3: 401 viewsSep 3: 443 viewsSep 3: 443 viewsSep 3: 447 viewsSep 3: 445 viewsSep 3: 637 viewsSep 3: 641 viewsSep 3: 637 viewsSep 3: 632 viewsSep 20: 218 viewsSep 20: 218 viewsSep 20: 218 viewsSep 20: 220 viewsSep 22: 142 viewsSep 22: 142 viewsSep 22: 141 viewsSep 22: 141 viewsSep 24: 48 views Sep 1Sep 24

Maximum: 641 views. Data as of Sep 24.

No deviations found in views. Manipulation doesn't always show up in views, so look at the whole index.

Cleanliness-index history

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

Run a fresh check for @otbivnoy_1

Data from 2026-09-24 — fresh.

Buy advertising

No signs of manipulation. You can buy ads 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.

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The bot will recheck @otbivnoy_1 and message you if reach drops, subscribers jump, or the cleanliness index changes.

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Questions about @otbivnoy_1

What is the risk level of this channel?

The channel received a risk score of 50 out of 100 (medium risk level). Ad placement here is marked as questionable due to possible partial view boosting.

What is the actual reach generated by the posts?

With 504 subscribers, the median view count is 383 per post (ERR around 76%). Engagement is low: reactions are left by about 1.5% of viewers.

Why is the ad feasibility rated as questionable?

The main reason is the suspicion of artificial views combined with closed comments and the deletion of 71% of posts from the channel history.

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