Fake engagement check for @diffshi

diffshi.store — public reach metrics and manipulation-risk assessment dated 2026-09-11.

tt @Позер Покупка @Zitsekond Заказы с Китая/Европы @Zitsekond Реклама/вопросы @Zitsekond отзывы: https://t.me/diffshiifeedback

98 /100

Grade A+ low manipulation risk cleanliness index
checked 2026-09-11

Subscribers: 365
Median views: 169
ERR: 46.3%
Posts sampled: 40

Niche Fashion

Assessment summary

The channel is a product catalog with an organic audience, so the risk of fake engagement is minimal here. However, due to the high posting frequency—more than 20 posts per day—an advertisement will immediately get pushed down the feed and quickly lose visibility.

Compared with similar channels

Compared with 7 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 57,776 subscribers.

ERR (reach) lower than 4 of 7

46.3% for @diffshi similar channels median: 56.4%

Reactions per 100 views higher than 4 of 7

1.07 for @diffshi similar channels median: 0.64

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: 2026-09-11
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 @diffshi assessment dated 2026-09-11 uses 40 recent public posts. At that snapshot the channel had 365 subscribers, median post views were 169, ERR was 46.3%, and the cleanliness index was 98/100.
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.

So many posts that an ad quickly slides down the feed.

Not enough posts for a forecast.

Reach of advertising posts

No advertising posts among the latest 40.

What grade A+ means

Almost no signs of manipulation: reactions look real and reach matches the subscriber count. The safest place for ads.

Dynamics and anomalies

Views by post

The latest 40 posts with views, from Sep 9 to Sep 11. The dashed line is the median (169).

post views
8 posts newer than one day and still gaining views
median 169

Maximum: 210 views. Data as of Sep 11.

What could not be calculated

View build-up not assessed: the channel posts often, and every post is newer than a week.

Cleanliness-index history

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

Check today: @diffshi

Data from 2026-09-11 — 9 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 @diffshi and message you if reach drops, subscribers jump, or the cleanliness index changes.

Monitor @diffshi

Questions about @diffshi

Are there any signs of audience inflation on the channel?

The technical risk is minimal, at 2 out of 100. No inflation was detected, views are distributed naturally, although the overall base is still small at 365 subscribers.

How many users actually see the posts?

The median reach is 169 views per post with an engagement rate of around 46%. For a small niche store, this indicates genuine buyer interest.

Why is placing an ad on the channel considered questionable?

The feed operates like a conveyor belt: the admin publishes over 20 posts a day. Without being pinned, the ad will be buried deep within the catalog archive in just a few hours.

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