Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.
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 above this size band
14,300 average views per post against 11,641 subscribers — an engagement rate of 123.1%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
15 of 15 published in the window (8 exact, 7 rounded by Telegram)
Views totalled
214,993
Mature posts only
131.7% over 14 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — 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 — 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 channel’s 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_high, last confirmed 5 November 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 — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
52 measurements spanning 90 days, net -867. 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 8,895–12,855 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)
Subscribers
Change
5 Nov 2026, 12:31
11,531
-110
4 Nov 2026, 11:50
11,641
+189
3 Nov 2026, 14:09
11,452
+73
2 Nov 2026, 12:28
11,379
+30
1 Nov 2026, 09:40
11,349
+54
31 Oct 2026, 08:44
11,295
+100
30 Oct 2026, 07:31
11,195
+480
29 Oct 2026, 06:30
10,715
-31
28 Oct 2026, 03:25
10,746
-25
27 Oct 2026, 01:41
10,771
-45
26 Oct 2026, 02:49
10,816
-37
25 Oct 2026, 02:54
10,853
-19
24 Oct 2026, 06:07
10,872
-13
23 Oct 2026, 03:00
10,885
+43
22 Oct 2026, 06:04
10,842
+15
21 Oct 2026, 00:29
10,827
+83
20 Oct 2026, 01:19
10,744
-116
19 Oct 2026, 03:04
10,860
-15
17 Oct 2026, 08:56
10,875
+187
16 Oct 2026, 08:15
10,688
first reading
Engagement
28 posts held, back to 20 July 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
50.4%
avg views ÷ 11,531 subscribers
Avg views / post
5,810
14 posts measured
Reaction rate
0.816%
reactions ÷ views · ER floor
Posts in window
14
of 28 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 4 November 2026
Posts held
28 (20 July 2026 – 4 November 2026)
Views total
81,374
Reactions total
664
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 08:35 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
Photos
691
Videos
8
Links
70
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 36s
Average length
48s
Measured directly from 2 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
1,479 reactions across 25 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5433702759851382489
1,479
100.0%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 25 of the 28 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 1,479 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 20 July 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.
Telegram Stars
Stars received
220
across the posts below
Posts paid on
14
of 25 we hold a reading for · 56%
Most on one post
74
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lifefmkapkaeva. 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 28 most recent posts we hold for this entry, published 20 July 2026 to 4 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 14 posts held from the last 30 days (28.6%) 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).
Девочки, если вы ведете свои каналы, предлагаю вам принять участие в папке, которая стартует на этой неделе:
https://t.me/reklamablogov/13741
Там есть ссылка на наш чат, если хотите участвовать - вступайте 🤍
Если будут вопросы, пишите @Nastia_Kapkaeva
Уже несколько дней пользуюсь этим vpn
У меня впервые такой впн, который не нужно включать/выключать, он работает на нужных приложениях (инстаграм/телеграм/youtube/gpt и т.д.) и не мешает во всех остальных 👌🏻
Это очень удобно.
У них есть очень оперативная поддержка, если будут вопросы и сложности: @vanyabot_help
Еще не закончился октябрь, я уже хочу ехать за новогодними украшениями, включать гирлянды на окнах, смотреть зимнее кино))
Пить глинтвейн, есть пончики на Красной площади, обматываться шарфом и носить угги.
Вот только перехода из солнечной осени - в атмосферную зиму не хочется вовсе 🧸
За время моего отсутствия эта дама каждый раз теряет свое воспитание и лезет попой на стол. А мордой - в мою чашку кофе.
Напоминаю вам, что у нас проходят 2 розыгрыша:
iPhone 17 можно выиграть здесь
Денежные призы здесь
Кому тоже надоело постоянно включать и выключать VPN? 👀
У ВаняБОТ нужные сервисы идут через VPN, а банки и приложения из списка исключений работают напрямую.
Что удобно:
🤍 Трафик без лимита по объёму.
🤍 Без автоматических списаний — продлеваете сами.
🤍 Поддержка в Telegram поможет с подключением.
По ссылке — 49 ₽ за 30 дней на одно устройство. До 31 декабря 2026 года по этой цене можно и подключаться, и продлевать…
Листала книгу нарцисса обыкновенного, он про свою коучинговую деятельность рассказывает.
Как водится у западных авторов, особенно коучей - с восхвалением себя и предъявлением заслуг.
В середину книгу встроена история как на одном тренинге он рассказал о своих 3 топовых образованиях, регалиях и достижениях. После этого повествования люди с ним не обедали. И сторонились. Пока одна женщина не сказала ему о том, что есл…
В моих сохраненках закончились все фильмы и сериалы, которые я включаю пока завтракаю. Нужны ваши подсказки))
Какие (коротенькие, на 6-10 серий) сериалы вас захватывали и хотелось смотреть взахлеб?))
Взяла за правило:
профессиональная литература - только в рабочие часы.
вечерами - художественная или для разнотематической подкованности.
custom 543370275985138248960
Showing the 12 most recent of 28 posts we hold for @lifefmkapkaeva. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@lifefmkapkaeva edited 1 post 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
25 August 2026
Most recent edit
25 August 2026
Posts recorded as deleted after publishing
We recorded 3 posts on @lifefmkapkaeva 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
9 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
13 days
Seen missing in the last 30 days
1
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 2 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.
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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Life FM” (@lifefmkapkaeva), 11,531 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/lifefmkapkaeva.
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.
