Fake engagement check for @gpt_172

Русский богатырь🇷🇺🇷🇺🇷🇺 — public reach metrics and manipulation-risk assessment dated 2026-09-05.

Война вне политики, но наши парни бравые, отстоят свою Родину!

50 /100

Grade D some signals require caution cleanliness index
checked 2026-09-05

Subscribers: 29,127
Median views: 10,466
ERR: 35.9%
Posts sampled: 34

Assessment summary

The deletion of about 77% of publications from the feed, combined with completely disabled comments, prevents tracking the channel's natural dynamics and points to a risk of partial view inflation up to a median of 10.5 thousand. Under such conditions, an advertiser risks paying for artificial reach that will not yield returns in real conversions.

Compared with similar channels

Compared with 14 checked News and Media channels with no visible signs of manipulation. They are a similar size: 10,016 to 82,829 subscribers.

ERR (reach) higher than 13 of 14

35.9% for @gpt_172 similar channels median: 18.2%

Reactions per 100 views higher than 13 of 13

3.23 for @gpt_172 similar channels median: 1.28

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 34 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 @gpt_172 assessment dated 2026-09-05 uses 34 recent public posts. At that snapshot the channel had 29,127 subscribers, median post views were 10,466, ERR was 35.9%, 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.

About 5,752–9,821 people will see your post in the first 48 hours.

Reach of advertising posts

No advertising posts among the latest 34.

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 (≈77% gaps in numbering)

There are many gaps in the numbering of recent publications — some posts have been deleted. This is often done to hide completed ad posts and conceal their actual reach. By itself, this indicator is indirect (posts are also deleted when edited).

Dynamics and anomalies

Views by post

The latest 34 posts with views, from Aug 7 to Sep 3. The dashed line is the median (10,466).

post views
median 10,466

Maximum: 14,414 views. Data as of Sep 5.

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: @gpt_172

Data from 2026-09-05 — 15 days old. Check the channel today before buying ads.

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.

Monitor this channel

The bot will recheck @gpt_172 and message you if reach drops, subscribers jump, or the cleanliness index changes.

Monitor @gpt_172

Questions about @gpt_172

Is it safe to buy ads on this channel?

The placement is rated as questionable: the risk score is 50 out of 100 due to signs of artificial view inflation and mass feed cleanup.

What real reach can be expected from a publication?

The median reach is around 10.5 thousand views (ERR ≈ 36%), but due to the risk of inflation and disabled comments, the actual reader engagement remains questionable.

Why is the placement feasibility marked as "questionable"?

The reason for this verdict is the risk of view inflation, as well as the deletion of over 70% of posts, which prevents evaluating honest publication retention statistics.

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Check @gpt_172