@professorcockroach: statistics and cleanliness index
Professor cockroach
📚 Daily Sujas Saar | राजस्थान करेंट अफेयर्स 🎯 RAS • RPSC • REET • CET & अन्य प्रतियोगी परीक्षाओं हेतु 📝 सुजस सार | Exam-Oriented Notes | MCQs 🔥 पढ़ें रोज़ाना, बढ़ें सफलता की ओर!
data from 2026-10-03
- Subscribers
- 1,336
- Median views
- 3,909
- ERR
- 292.6%
- Posts sampled
- 40
Data from 2026-10-03 — 5 days old.
Assessment summary
Infographics and study notes in Hindi for government exam preparation; the feed has been maintained for about four months.
Median views almost triple the subscriber count, yet reactions account for only 0.03% of views, with comments completely closed. Because of this imbalance, it is difficult to predict the actual ad reach.
What to pay attention to
More views than subscribers: ERR ≈ 293%
Median views are noticeably higher than the number of subscribers across half of the posts, not just for a single viral one. This happens when posts spread outside the channel via reposts, chats, or external traffic, but the other metrics do not support this version.
What grade F means
The index is at its lowest: the metrics fall far outside usual values, or Telegram has flagged the channel as a scam. See the “How the assessment was produced” section for details.
Compared with similar channels
Compared with 15 Education catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 69 to 477,601 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 40 posts with views, from Sep 11 to Oct 3. The dashed line is the median (3,909).
- post views
- 1 post newer than one day and still gaining views
- median 3,909
Maximum: 5,582 views. Data as of Oct 3.
What scoring found in the view pattern
More views than subscribers: ERR ≈ 293%
Median views are noticeably higher than the number of subscribers across half of the posts, not just for a single viral one. This happens when posts spread outside the channel via reposts, chats, or external traffic, but the other metrics do not support this version.
Cleanliness-index history
The channel's data has been collected once — the chart will appear after the next update.
Advertising outlook
Advertising placement: not recommended.
Some of the channel's metrics deviate, so it is hard to say in advance how many people will see an ad.
Not calculated: many of the channel's metrics deviate, so a forecast would be unreliable.
Reach of advertising posts
No advertising posts among the latest 40.
Forwarding links
@professorcockroach's posts are forwarded by
Only among catalog channels.
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Questions about @professorcockroach
What purity index was recorded for the channel?
The channel's purity index is 25 out of 100, which corresponds to grade F and the 'many anomalies' level. The score was reduced by abnormally high views against the backdrop of extremely low reader activity.
Why is the reach of posts significantly larger than the subscriber base?
With 1,336 subscribers, posts gain a median of 3,909 views, with the ERR reaching about 292.6%. At the same time, reactions account for only about 0.03% of views, and comments in the feed are disabled.
Is buying ads on this channel justified?
The feasibility of ad placement is flagged as questionable. Due to anomalies in view metrics, it is difficult to determine the actual audience of an ad post in advance.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-03
- 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 @professorcockroach assessment dated 2026-10-03 uses 40 recent public posts. At that snapshot the channel had 1,336 subscribers, median post views were 3,909, ERR was 292.6%, and the cleanliness index was 25/100.
- 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.