Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 16 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s 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 — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
52 measurements spanning 82 days, net +44,797. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 20,026–86,655 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)
Subscribers
Change
4 Nov 2026, 21:51
72,511
+3,925
3 Nov 2026, 18:10
68,586
-864
2 Nov 2026, 20:50
69,450
-932
1 Nov 2026, 17:45
70,382
+773
31 Oct 2026, 14:49
69,609
-843
30 Oct 2026, 15:56
70,452
-1,165
29 Oct 2026, 15:35
71,617
-1,238
28 Oct 2026, 12:01
72,855
-958
27 Oct 2026, 12:09
73,813
-1,459
26 Oct 2026, 11:36
75,272
-1,388
25 Oct 2026, 14:16
76,660
-1,014
24 Oct 2026, 17:30
77,674
-1,293
23 Oct 2026, 17:46
78,967
+6,607
22 Oct 2026, 19:41
72,360
+2,730
21 Oct 2026, 15:36
69,630
-434
20 Oct 2026, 14:37
70,064
-1,087
19 Oct 2026, 14:59
71,151
-1,118
18 Oct 2026, 14:49
72,269
-1,324
17 Oct 2026, 14:05
73,593
-1,619
16 Oct 2026, 12:08
75,212
first reading
Engagement
1,731 posts held, back to 14 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 166 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.63%
avg views ÷ 72,511 subscribers
Avg views / post
6,260
739 posts measured
Reaction rate
0.169%
reactions ÷ views · ER floor
Posts in window
739
of 1,731 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) ÷ views — note the denominator is views, not subscribers. Telegram’s 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. It is computed over the 721 of 739 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 4 November 2026
Posts held
1,731 (14 April 2026 – 4 November 2026)
Views total
4,622,890
Reactions total
7,696
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 21:36 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 “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — 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 — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
7h 40m
Average length
46s
Measured directly from 604 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
10,699 reactions across 965 posts, in 47 distinct kinds. The most used accounts for 71.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7,626
71.3%
👍
1,492
13.9%
😁
397
3.71%
👎
196
1.83%
🥰
193
1.80%
🔥
174
1.63%
👏
147
1.37%
💯
113
1.06%
😢
100
0.935%
🙏
61
0.57%
🤔
40
0.374%
🤣
28
0.262%
😱
20
0.187%
❤🔥
12
0.112%
🕊
11
0.103%
💔
9
0.084%
👌
8
0.075%
🤬
8
0.075%
🤨
7
0.065%
⚡
4
0.037%
27 further kinds
53
0.495%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 974 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 10,699 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 25 September 2026 to 4 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Telegram’s own ‘edited’ marker: 22 of 739 posts held from the last 30 days (2.98%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
PORTATIV INHALYATOR — HAR BIR OILADA BO‘LISHI KERAK!
Sovuq, yo‘tal yoki nafas olishdagi muammolarda eng yaxshi yordamchi!
Kattalar ham, bolalar ham bemalol foydalanishi mumkin.
Ishlash jarayoni tinch va shovqinsiz. Quvvat manbaiga ulanmay ham ishlaydi (batareyali)
Bolalar uchun maxsus maska bilan birga. Shifokorlar tavsiya etadi — uy sharoitida samarali davolanish uchun ayni mos!
Aksiya narxi: 69 ming soʻm
✅️To'…
Эри бор аёл билан ишқий муносабатда бўлиб юрган йигитни чимилдиқ кечасида келин даҳшатли совға билан кутиб турар эди😱
Бир йигит бўйдоқлигида эри бор аёл билан юрар эди. Орадан вақт ўтиб, йигит бир қизга унаштирилди. Кўп ўтмай тўй ҳам бўлди. Тўй ҳамма кутгандан ҳам зўр ўтди. Куёв хурсанд ҳолда чимилдиққа кирди. Ювиниш учун ҳаммомга кирган куёвнинг кўзи оёқ остида турган капсулага тушди. Куёв даҳшатга тушиб, келиндан …
ГЕМОРРОЙИМ КАТТАЛАШИБ ТАШҚАРИГА ЧИҚИБ ҚОЛГАН ЭДИ.
🩸Операция қилдиришдан қўрқиб, ташқарига чиқиб қолган гемрройни доим бармоғим билан итариб қўяр эдим. Оҳирги пайтлар геморройим жуда катталашиб, кучли оғриқ беришни бошлади.
Лекин Германиялик бир шифокор ўзининг малҳамидан суритиб мени операциядан қутқариб қолди.
✔️1чи кун кучли оғриқ тўхтади.
✔️3чи куни эса ташқаридаги тугун умуман йўқ бўиб кетди.
Нима суритган…
❗️Нонушта қилмаслик – ўт қопида тош йиғилишига олиб келиши мумкин!
Эрталаб нонушта қилмаслик организмнинг метаболизмини секинлаштиради ва ўт суюқлигининг турғунлашувига сабаб бўлади. Бу эса ўт қопида тошлар пайдо бўлиши хавфини оширади.
🍏 TABOBAT TV
ҚОН БОСИМИМ 10 ЙИЛДАН БЕРИ 180 ГА КЎТАРИЛИБ КЕТАР ЭДИ.
Юрагим шунақа тез урар эдики, отилиб кетади деб ўйлар эдим. Ҳатто кўзимдаги қон томирларим ҳам ёрилиб кетар эди.
10 йил деганда атиги 1 СТАКАН шу махсус ЧОЙ қон босимимни 120 га тушуриб берди. Шу чойни ичганимдан бери қон босимим доим 120 га 80 бўлиб турибти.
Қандай чой ичганимни шу ерда ёзиб қолдирдим 👇👇👇
https://tabobat.org/faet/?r=10
https://tabobat.org/fae…
Эри бор аёл билан ишқий муносабатда бўлиб юрган йигитни чимилдиқ кечасида келин даҳшатли совға билан кутиб турар эди😱
Бир йигит бўйдоқлигида эри бор аёл билан юрар эди. Орадан вақт ўтиб эркак бир қизга унаштирилди. Кўп ўтмай тўй ҳам бўлди. Тўй ҳамма кутгандан ҳам зўр ўтди. Куёв хурсанд чимилдиққа кирди. Ювиниш учун ҳаммомга кирган куёвни оёқ остида турган капсулага кўзи тушади. Куёв дахшатга тушиб, келиндан капсула …
ОЁҒИМНИ БУКИШ У ЁҚДА ТУРСИН, ОДДИЙ ҚАДАМ ТАШЛАШ АЗОБГА АЙЛАНГАН ЭДИ.
💉Укол ва дорилар атиги 1-2 соатга етар эди, кейин яна ўша дўзахий азоб бошланар эди.
🦵Кореялик табибнинг малҳамини тайёрлаб суритишим билан...
Бутун оёғимдаги оғриқ 20 дақиқада йўқ бўлди. Ҳатто тиззамдаги қирсиллаган овоз ҳам қолди.
Буни қандай тайёрлаганимни ва нима суритганимни шу ерда ёзиб қолдирдим👇👇👇
https://tabobat.org/mir/?r=5
https://tabo…
❤6
Showing the 12 most recent of 1,731 posts we hold for @tabobat_tb. 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 ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 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.
Posts edited after publishing
@tabobat_tb edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 September 2026
Most recent edit
3 November 2026
Posts recorded as deleted after publishing
We recorded 3 posts on @tabobat_tb as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
23 August 2026
Most recent seen missing
17 September 2026
Median time before seen missing
12 hours
Seen missing in the last 30 days
0
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 134 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — 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 — the “Named by N registered channels” 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 channel’s 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
@tabobat_tb named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — 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 — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@soglom_oila named in 1 post, 8 October 2026 – 8 October 2026
@fasonlar_modalar_bahorgi named in 1 post, 18 August 2026 – 18 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“🍃TABOBAT TV 🍃” (@tabobat_tb), 72,511 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/tabobat_tb.
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 · 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.