@ilincognitio: statistics and cleanliness index
Incognitio Scientia Скрытое знание (без теории заговоров)
Incognitio- в переводе "не познанное" из первых уст. по вопросам рекламы: @ewnovikova (Елена) https://www.instagram.com/incognitio
data from 2026-10-04
- Subscribers
- 24,321
- Median views
- 22,021
- ERR
- 90.5%
- Posts sampled
- 37
Data from 2026-10-04 — 5 days old.
Assessment summary
An author's blog about men's style, wardrobe, and city events with personal photos and outfit selections.
Over two months, the audience decreased by almost half, while views remained unchanged, which is why ERR exceeds 90% — this is higher than all similar channels in the catalog. Posts are published approximately once every ten days, so placement is questionable due to the infrequent posting schedule.
What to pay attention to
Sharp subscriber drop: −22% since the last check
Between checks, the channel lost a noticeable share of subscribers. Usually, the number of subscribers changes more smoothly.
What grade D means
The index is clearly lowered: one or more metrics fall outside usual values. The “How the assessment was produced” section shows which ones.
Compared with similar channels
Compared with 6 Fashion catalog channels whose metrics look normal. They are a similar size: 24,166 to 57,776 subscribers.
This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.
Dynamics and anomalies
Views by post
The latest 37 posts with views, from Mar 9 to Sep 23. The dashed line is the median (22,021).
- post views
- median 22,021
Maximum: 80,237 views. Data as of Oct 4.
What scoring found in the view pattern
Elevated reach: ERR ≈ 91%
On a large channel, views are close to or exceed the number of subscribers. This may be normal for viral content, but it requires attention.
What could not be calculated
View build-up not assessed: there were no posts newer than one day.
Cleanliness-index history
4 checks for this channel.
Advertising outlook
Advertising placement: questionable.
Posts come out rarely, so an ad will struggle to get views.
About 12,087 people will see your post in the first 48 hours.
Few recent posts, so this is a rough forecast.
Reach of advertising posts
Advertising posts have a median of 20,150 views versus 22,312 for regular posts — 10% lower.
Based on 8 advertising and 29 regular posts older than two days.
Without an ad label: 8 posts.
Buy advertising
Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.
We don't sell ads. This channel may not be listed there.
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Questions about @ilincognitio
What is the purity index of the @ilincognitio channel?
The channel's purity index is 45 out of 100 (grade D, "deviations detected" level). The rating was affected by a sharp 22% drop in subscribers over a month and the deletion of about 15% of posts from the feed.
How many views does advertising get on the channel?
Regular posts get about 22.3 thousand views, and advertising integrations get about 20.1 thousand. At the same time, an unusually high share of the audience sees the post: ERR reaches 90.5%, whereas for similar channels in the catalog the median is 24.5%.
Is it worth buying ads on this channel?
The advisability of ad placement is assessed as questionable. The main reason is the very low posting frequency: posts appear on average once every ten days, and comments on posts are disabled.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-04
- Sample
- The latest 37 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 @ilincognitio assessment dated 2026-10-04 uses 37 recent public posts. At that snapshot the channel had 24,321 subscribers, median post views were 22,021, ERR was 90.5%, and the cleanliness index was 45/100.
- Limitations
- This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.
This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/TGinspector_ru.