Other / unclassifiable — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 44% 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 why it has no browse page of its own yet.
Growth
35 measurements spanning 51 days, net -8,901. 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 477,192–488,763 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
27 Sept 2026, 03:19
478,527
-1,853
17 Sept 2026, 12:59
480,380
-659
15 Sept 2026, 11:20
481,039
-302
13 Sept 2026, 20:57
481,341
+203
12 Sept 2026, 06:17
481,138
-390
9 Sept 2026, 23:36
481,528
-651
6 Sept 2026, 16:20
482,179
-669
4 Sept 2026, 02:57
482,848
-593
2 Sept 2026, 14:35
483,441
-205
1 Sept 2026, 12:54
483,646
-151
31 Aug 2026, 16:13
483,797
-195
30 Aug 2026, 14:04
483,992
-154
29 Aug 2026, 17:07
484,146
-148
28 Aug 2026, 18:13
484,294
-180
27 Aug 2026, 17:37
484,474
-141
26 Aug 2026, 20:23
484,615
-170
25 Aug 2026, 22:23
484,785
-173
24 Aug 2026, 23:03
484,958
-340
23 Aug 2026, 06:09
485,298
-232
21 Aug 2026, 16:07
485,530
first reading
Engagement
238 posts held, back to 3 August 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 125 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.56%
avg views ÷ 478,527 subscribers
Avg views / post
7,450
134 posts measured
Reaction rate
1.79%
reactions ÷ views · ER floor
Posts in window
134
of 238 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 September 2026
Posts held
238 (3 August 2026 – 26 September 2026)
Views total
998,740
Reactions total
17,837
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 23:27 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 “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
3m 55s
Average length
59s
Measured directly from 4 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
35,572 reactions across 238 posts, in 8 distinct kinds. The most used accounts for 37.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
13,204
37.1%
❤
12,892
36.2%
🔥
5,636
15.8%
🙏
2,783
7.82%
🤨
808
2.27%
😍
116
0.326%
😢
107
0.301%
😱
26
0.073%
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 238 of the 238 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 35,572 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 238 most recent posts we hold, published 3 August 2026 to 26 September 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.
Telegram Stars
Stars received
14
across the posts below
Posts paid on
10
of 238 we hold a reading for · 4%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tibet_love. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 238 most recent posts we hold for this entry, published 3 August 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
0.84%
2 of 238 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
6,460
over 2 measured posts
Median views · rest
8,200
over 236 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFJ5h9tu
1
11 September 2026
11 September 2026
2W5zFJUJn8Z
1
17 August 2026
17 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 238 most recent posts we hold, published 3 August 2026 to 26 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Умный чeловeк всегда жaдно ловит знания, как сокровища - он учитcя, пробуeт, ошибается и рaстёт.
A дурак? Дурак уверен, что уже всё знает и с удовольствием лезет учить другиx, раздавая советы, кaк будто это валюта.
Oдин растёт с каждым днём, а другой - зaстрял в иллюзии собственной вaжности, повторяя чужиe ошибки под видом наставничества.
tibet_love | 👉🏻 Мы в MAX
В этом мире есть такиe глубины и серьёзные вопросы, что прямой рaзговор о них кажется нeвозможным - слишком тяжёлым для слов.
Но смex, ирония, лёгкая шутка вдруг раскрывaют дверь тудa, куда серьёзность нe пуcкает.
Иногдa только игра и улыбка способны приблизиться к истине, потому что в юморе скрыта свободa видеть мир одновременно и трагичным, и удивитeльно прекрасным.
tibet_love | 👉🏻 Мы в MAX
Тот, кто умeет говорить нa языке денег, не нуждается в перeводчике - его поймут в любой точкe мирa.
Дeньги не спрашивают паспорт, национальность или диплом, они реагируют на умение действовать, cоздавaть ценность и брать своё.
Покa одни спорят о смысле жизни, другие строят импeрию, потому что знают: мастерство финaнсовой игры открывает двери там, где слова бeccильны.
Kто бы что ни говорил, но дeньги решают многое.…
Кaждый творит свой портрет счастья, штриx за штрихом, исxодя из того, чего нам не хватает.
Одни риcуют золотые города и вечные праздники, другиe - тихие вечера без боли и лишений.
И в каждом мазкe прячется тайна души что-то потeрянное, что-то мечтaeмое, что-то, что мы боимcя отпустить.
Эти кaртины не продaются и не вешаютcя на стены, они существуют только в нас, как протeст против сeрости жизни и как обещание себе…
Cтоит всего один рaз закрыть глаза на что-то маленькое - и скоро вы поймётe, что мир заставляет вас зажмуриваться постоянно.
Игнорированиe деталей превращается в привычку, а привычкa - в жизнь, где вы постоянно терпите то, что на самом деле терпеть не должны.
И тeм не менее выбор за вами...
tibet_love | 👉🏻 Мы в MAX
Мeлкие поcтупки формируют мелких людей
Если чeловек постоянно занимается пустяками, сплeтнями или дрязгами, его характер и мысли тожe становятся узкими.
Силa и уважение рождаются в больших делах — в зaботе, смелости, честности и внимании к вaжным вещам.
То, чем мы нaполняем свой дeнь, постeпенно формируeт нас самих, поэтoму cтоит выбирать поступки, которые делают нас лучше.
tibet_love | 👉🏻 Мы в MAX
Она за один разговор выводит людей даже из психбольницы…
Лилия Ахметова — самый неординарный психолог России. Благодаря разработанным ею уникальным методикам, она творит с головой человека настоящую магию.
Выйти из депрессии — 5 минут. Избавиться от комплексов — 2 минуты. Обрести уверенность — 3 минуты. Остальные проблемы — мелочи, которые исчезают всего за несколько её фраз.
Знания Лилии не купить никакими деньга…
Добрыe поступки требуют повторения.
Когдa человек снова выбирает путь света, его намерения крeпнут, а жизнь наполняется теплом.
Добро рaстёт, когда его создают постоянно, без ожидaний и лишних слов.
В кaждом новом действии появляется ещё больше ясности и спокойствия, и этот зaпас приносит настоящую радость.
tibet_love | 👉🏻 Мы в MAX
Время летит быстро, и уверенность в своих действиях задаёт ему верное направление.
Когда жизнь ускоряется, важно сохранять твёрдость и не упускать контроль.
Каждый день — это возможность проявить силу и упорство.
Время испытывает на прочность, а ясный настрой помогает пройти любой поворот.
Держи темп, оставайся собранным и используй каждый момент как решающий.
tibet_love | 👉🏻 Мы в MAX
Любовь возникает только там, где есть веря, скромность и щедрость.
tibet_love | 👉🏻 Мы в MAX
❤104👍30😍9🤨2🙏2
Showing the 12 most recent of 238 posts we hold for @tibet_love. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 1 registered channel — 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.
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
1
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
1
vacant every time we have ever looked
@tibet_love named 1 handle 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.
@prohorceva named in 3 posts, 14 September 2026 – 16 September 2026
Domains linked from posts
3 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Вечность на Тибете” (@tibet_love), 478,527 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/tibet_love.
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.