Education โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelโs own recent posts on 12 August 2026 and assigned it the closest of 31 fixed categories, at 69% confidence. This is a modelโs judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured โ it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far below this size band
15.2 average views per post against 2,780 subscribers โ an engagement rate of 0.546%. Across the 7,606 registered channels in the same cohort โ 1,000โ3,162 subscribers, posting mainly in Arabic โ the middle half sit between 5.46% and 22.8%, with a median of 11.6%.
What this was computed from
Window
30 days (13 July 2026 โ 12 August 2026)
Posts measured
18 of 18 published in the window (18 exact, 0 rounded by Telegram)
Views totalled
273
Mature posts only
1.02% over 9 posts read at least 24h after publication
ยฑ0.104% of the figure, from Telegramโs rounding
Post language
Arabic ยท 100.0%of the windowโs posts
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3ร away from that cohortโs median โ below it โ on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes โ audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channelโs own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through โ we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
4 measurements spanning 6 days, net -21. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ. The vertical axis spans 2,777โ2,804 and does not start at zero.
Measurement log โ every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 09:22
2,780
-11
9 Aug 2026, 17:51
2,791
-10
6 Aug 2026, 16:34
2,801
no change
6 Aug 2026, 16:22
2,801
first reading
Engagement
26 posts held, back to 2 July 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 4 pagesof Telegramโs post history, 20 posts per page.
ERR ยท 30 days
0.546%
avg views รท 2,780 subscribers
Avg views / post
15.2
18 posts measured
Reaction rate
โ
this channel exposes no reaction counts
Posts in window
18
of 26 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) รท viewsโ note the denominator is views, not subscribers. Telegramโs public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days ยท latest post in window 7 August 2026
Posts held
26 (2 July 2026 โ 7 August 2026)
Views total
273
Reactions total
โ
Forwards / comments
not exposed by the public surface โ not measured, not estimated
Readings taken
7 Aug 2026, 18:27 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Showing the 12 most recent of 26 posts we hold for @life_doctors. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason โ naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
2
handles named in this channelโs posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@life_doctors named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handleโs history โ see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today โ not that anything โdiedโ. How this is measured.
Never seen alive
References a handle that is not a live channel โ we have no record it ever was one.
@laboratorytest1 named in 3 posts, 8 August 2026 โ 8 August 2026
@hffngfb named in 1 post, 8 August 2026 โ 8 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 โ this
entry's latest reading, not the date you are reading this.
โ๐ฉโโู ูููุณููููููููุฑุฉ ุญููููููููููุงุฉ ุทูููุจูููููุจ ๐งโโ๐จโโโ (@life_doctors), 2,780 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/life_doctors.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV ยท JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
