Fake engagement check for @PavlovStars
Канал Павлika — public reach metrics and manipulation-risk assessment dated 2026-08-26.
По рекламе - @mokiyak//@yherov Отзывы - @repa_yherova Твинкам не выдаю, если хотя бы 2 подарка на акке есть то выдаю
Assessment summary
With an intensity of over 95 publications per day, an advertising message is pushed out of the audience's focus in mere minutes, gathering only short-term reach around the median of 633 views. A high share of deleted messages (about 50%) and the mechanics of Telegram gift giveaways for reactions attract an audience of bonus hunters who are poorly engaged in third-party offers.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-08-26
- 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 @PavlovStars assessment dated 2026-08-26 uses 40 recent public posts. At that snapshot the channel had 4,984 subscribers, median post views were 633, ERR was 12.7%, 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.
Advertising outlook
Advertising placement: questionable.
Posts are published very frequently, so an advertisement may move down the feed quickly.
Estimated 48-hour reach: 519–662 views.
Reach of advertising posts
No advertising posts were found among the latest 40 posts, so there is nothing to compare.
What grade D means
The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.
What to pay attention to
It looks like some posts were deleted (≈50% 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 their actual reach. This indicator alone is indirect (posts are also deleted during edits).
Dynamics and anomalies
Views by post
The latest 40 posts with views, from Aug 25 to Aug 25. The dashed line is the median (633).
- post views
- 40 posts newer than one day and still gaining views
- median 633
The sample maximum is 1,253 views. Snapshot dated Aug 26; the axis is not clipped, so spikes remain visible.
What could not be calculated
View maturation was not assessed: the channel publishes frequently, and every sampled post is newer than one week.
Cleanliness-index history
The channel has been checked once, so there is nothing to compare yet. The chart will appear after another check.
This page shows the saved result dated 2026-08-26. The bot collects a new snapshot for a current report.
Buy advertising
The channel does not appear to be in the high-risk zone. These marketplaces provide channel catalogs, pricing, and payment on their own platforms.
TG Inspector does not sell placements or participate in the transaction. A specific channel may be absent from a marketplace.
Monitor this channel
Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.
Monitor @PavlovStarsQuestions about @PavlovStars
What risk level has been identified for this channel?
The channel has a moderate risk (score 50 out of 100) with a medium confidence level. Views are distributed evenly (ERR around 12.7%), but the deletion of approximately half of the published posts has been recorded.
Why is placing ads in this channel considered questionable?
The feed operates in conveyor mode with a frequency of over 95 posts per day. New messages instantly push previous ones down, creating a risk that an ad post will fail to retain the readers' attention.
What actual reach can be expected?
The median post reach is 633 views with a base of 4,984 subscribers. However, due to constant giveaways, subscriber interest is focused on receiving gifts rather than third-party integrations.
Similar channels in Promotions and deals
-
@lootdealsk_alibaba_dc_dealdost — Lootdealsk alibaba dc Deal dost
55 · C
All channels in Promotions and deals
Other checked channels
This automated assessment is probabilistic. It describes statistical signals in public data and does not claim intentional manipulation. Channel owners can run a new check or contact support to request removal.