@culture_tnd: statistics and cleanliness index
Культура обучения и развития
Для HR без штата тренеров, но с задачами обучения и развития: готовые сценарии, цифры и эмоции, системный подход к HR и T&D Автор @ekaterina_te Сотрудничество @Aculture_tnd и https://telega.in/?r=Dym2MuiC
data from 2026-11-01
- Subscribers
- 6,512
- Median views
- 553
- ERR
- 8.5%
- Posts sampled
- 40
Data from 2026-11-01 — 6 days old.
Assessment summary
A channel about corporate learning and personnel development: research analyses, HR conference notes, methods for engaging learners in online learning, and job roundups for L&D; the feed is almost entirely text-based, and it is run by a practicing instructional designer. There are many gaps in the numbering — about 73% of message numbers have been deleted, so one cannot judge the full feed.
A smaller share of subscribers sees a post than in most similar channels in the catalog (ERR 8.5% versus the median 12.5%), but reactions are higher than in the group — 2.7% of views versus 0.83%. Advertising posts get 293 views versus 560 for regular ones, and at 0.2 posts per day an ad stays in the feed for a long time — but advertising gets half as many as regular posts.
About the channel
A channel about corporate learning and personnel development — for HR and T&D specialists who do not have an in-house team of trainers. It has been run in Russian for almost three years: text analyses, photos from conferences, presentations, and videos with methodologies.
In the catalog, @whrdata, @savetoreadlater, and @softrecruiting are nearby. This channel is smaller than each of them in subscribers, but the share of subscribers who see a post is higher than for @whrdata and @savetoreadlater, and lower than for @softrecruiting.
What it publishes:
- Research analyses: the file of Sber’s report “Corporate Learning Development Index” and conclusions on its parts.
- Conference notes: notes from AI.Elements and “AI in HR”, presentations, and summaries.
- Learning methodologies: a series of posts about engagement in online learning, trainer competencies, and checklists.
- Event announcements and jobs: roundups of HR conferences and jobs for L&D.
Posts come out only on weekdays, mostly in the morning and afternoon; part of the feed is reposts from “Learning Calendar,” “Craft Knowledge,” and “C&B Practices.” By subscriber count, the channel is in the bottom third of the “Business and Startups” niche. They post rarely — about once every five days, with long texts featuring analyses and roundups, and little advertising.
By subscribers, it ranks #63 of 90 channels in the Business & startups niche of the catalog.
What to pay attention to
Some messages deleted: ≈73% of numbers missing
There are many gaps in the numbering of the channel's latest messages — some of them have been deleted. Message numbers are counted, not publications: each photo in an album has its own number. Deleted posts are not visible, so the remaining ones allow only a partial judgment about the channel.
What grade A+ means
The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.
Compared with similar channels
Compared with 50 Business & startups catalog channels whose metrics look normal. They are a similar size: 2,316 to 19,248 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.
Compare with another channel
Dynamics and anomalies
Scroll horizontally to see the full charts.
Views by post
The latest 40 posts with views, from Apr 20 to Oct 30. The dashed line is the median (553).
- post views
- median 553
Maximum: 970 views. Data as of Nov 1.
What could not be calculated
View build-up not assessed: there were no posts newer than one day.
Cleanliness-index history
3 checks for this channel.
Advertising outlook
Advertising placement: reasonable.
About 64–71 people will see your post in the first 48 hours.
Reach of advertising posts
Advertising posts have a median of 293 views versus 560 for regular posts — 48% lower.
Based on 9 advertising and 31 regular posts older than two days.
Without an ad label: 7 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.
Forwarding links
@culture_tnd forwards posts from
- @skillendar add to the catalogadd
- @cnbpraktika add to the catalogadd
- @craft_knowledge add to the catalogadd
- @science_of_hr add to the catalogadd
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Questions about @culture_tnd
Is the channel clean? Does @culture_tnd have fake engagement?
Cleanliness index — 94 out of 100, grade A+, level “metrics within normal range.” Among the findings — some messages have been deleted: about 73% of numbers are missing.
What is the reach of the channel’s posts?
Median views — 553, which is about 8.5% of the subscriber base. For most similar channels in the catalog, the share of subscribers who see a post is higher.
Is it worth advertising in this channel?
Placement is marked as justified. Advertising posts get a median of 293 views versus 560 for regular ones, so the ad’s reach should logically be calculated from these figures.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-11-01
- 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 @culture_tnd assessment dated 2026-11-01 uses 40 recent public posts. At that snapshot the channel had 6,512 subscribers, median post views were 553, ERR was 8.5%, and the cleanliness index was 94/100.
- 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/obsessed_with_ai.