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@robotfleksa: statistics and cleanliness index

Робот Fleksa | Нейросети - новости, обучение, лайфхаки

Изучаю #ИИ и делюсь полученными знаниями. Теория и практика для работы с нейросетями Отзывы учеников https://t.me/otzivi_u4enikov НейроГайды👇 https://content-generator.pro/aiforu Автор телеграм-канала @sashazhegal Сотрудничество @sashazhegal

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Grade B metrics look normal cleanliness index
data from 2026-09-09
Subscribers
1,815
Median views
915
ERR
50.4%
Posts sampled
39
Niche Computer science

Data from 2026-09-09 — 29 days old.

Assessment summary

The channel has a low risk score (30/100); however, ad placement here is questionable due to inactivity: there have been no posts for over 60 days, and the audience is gradually unsubscribing.

Furthermore, the unnaturally low view variance (CV 0.13) combined with disabled comments suggests a likelihood of artificial reach inflation on an abandoned channel.

What to pay attention to

Views are more even than usual (CV ≈ 0.13)

Views vary less between posts than is usual for channels (0.15–0.6): posts collect almost the same number of views.

What grade B means

Metrics are mostly normal; one or two weak signals lower the index.

Compared with similar channels

Compared with 13 Computer science catalog channels whose metrics look normal. They are a similar size: 1,655 to 5,333 subscribers.

ERR (reach) higher than 8 of 13
@robotfleksa 50.4%
similar channels median 24.1%
Reactions per 100 views higher than 7 of 12
@robotfleksa 1.31
similar channels median 0.86

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 39 posts with views, from Jan 2 to Jul 10. The dashed line is the median (915).

05571.1KJan 2: 968 viewsJan 7: 707 viewsJan 7: 711 viewsJan 13: 1,013 viewsJan 15: 1,115 viewsJan 19: 1,009 viewsJan 19: 1,030 viewsJan 19: 987 viewsJan 24: 820 viewsJan 26: 778 viewsJan 27: 771 viewsJan 27: 850 viewsJan 27: 880 viewsJan 27: 859 viewsJan 27: 841 viewsFeb 26: 786 viewsMar 3: 753 viewsMar 4: 1,004 viewsMar 4: 1,010 viewsMar 12: 975 viewsMar 23: 967 viewsApr 14: 914 viewsApr 14: 952 viewsApr 14: 979 viewsApr 17: 987 viewsApr 24: 789 viewsMay 11: 900 viewsMay 11: 948 viewsMay 12: 956 viewsMay 12: 915 viewsMay 21: 952 viewsJun 4: 924 viewsJun 4: 933 viewsJun 4: 951 viewsJun 22: 700 viewsJun 24: 700 viewsJun 24: 733 viewsJul 10: 690 viewsJul 10: 716 views Jan 2Jul 10
  • post views
  • median 915

Maximum: 1,115 views. Data as of Sep 9.

What scoring found in the view pattern

Views are more even than usual (CV ≈ 0.13)

Views vary less between posts than is usual for channels (0.15–0.6): posts collect almost the same number of views.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

2 checks for this channel.

050100Jun 15: index 70, grade BJun 15Sep 9: index 70, grade BSep 9

Advertising outlook

Advertising placement: questionable.

The channel has gone quiet — ask the owner when the next post is due.

No new posts for over two weeks, so ad reach can't be forecast right now.

Reach of advertising posts

Too few advertising posts to compare: 2.

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.

Where to buy advertising

Affiliate links: we get a commission. It never affects the channel's score.

Questions about @robotfleksa

What fraud risk has been identified for the channel?

The channel received a green risk score of 30 out of 100 with low analysis confidence. The only technical anomaly is the suspiciously uniform distribution of views across posts (CV 0.13).

Why is ad placement feasibility marked as questionable?

The main reason is feed inactivity: the channel has not published content for over 61 days. Placing an ad on an inactive channel does not guarantee genuine audience attention.

What realistic reach can be expected?

The formal median views stand at 915 per post (ERR around 50%). However, due to the posting freeze and subscriber churn, a new ad post may yield significantly lower performance.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-09
Sample
The latest 39 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 @robotfleksa assessment dated 2026-09-09 uses 39 recent public posts. At that snapshot the channel had 1,815 subscribers, median post views were 915, ERR was 50.4%, and the cleanliness index was 70/100.
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.

Full methodology and interpretation rules

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.