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 9 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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
34 measurements spanning 52 days, net -2,487. 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 32,436–38,341 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
28 Sept 2026, 19:41
33,117
-998
17 Sept 2026, 18:37
34,115
-395
15 Sept 2026, 12:56
34,510
-240
14 Sept 2026, 01:01
34,750
+294
12 Sept 2026, 09:42
34,456
+96
10 Sept 2026, 09:38
34,360
-513
7 Sept 2026, 02:56
34,873
-238
4 Sept 2026, 09:21
35,111
-46
2 Sept 2026, 23:18
35,157
-59
2 Sept 2026, 00:42
35,216
-137
1 Sept 2026, 02:36
35,353
-122
30 Aug 2026, 23:33
35,475
-19
29 Aug 2026, 22:03
35,494
-11
28 Aug 2026, 22:23
35,505
-123
27 Aug 2026, 22:59
35,628
-302
27 Aug 2026, 02:17
35,930
-139
26 Aug 2026, 03:18
36,069
-2
25 Aug 2026, 01:56
36,071
-44
23 Aug 2026, 19:07
36,115
-92
22 Aug 2026, 00:46
36,207
first reading
Engagement
57 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 100 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
31.7%
avg views ÷ 33,117 subscribers
Avg views / post
10,500
24 posts measured
Reaction rate
2.36%
reactions ÷ views · ER floor
Posts in window
24
of 57 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 1 October 2026
Posts held
57 (3 August 2026 – 1 October 2026)
Views total
251,800
Reactions total
5,945
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Oct 2026, 07:40 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
≈1,010
Videos
≈276
Links
≈292
Lifetime counters from Telegram’s own channel header, read 3 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
15m 01s
Average length
45s
Measured directly from 20 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
16,270 reactions across 57 posts, in 3 distinct kinds. The most used accounts for 42.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
6,918
42.5%
🥰
6,896
42.4%
❤
2,456
15.1%
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 57 of the 57 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 16,270 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 3 August 2026 to 1 October 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
2
across the posts below
Posts paid on
2
of 57 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zenkovichnatasha. 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 57 most recent posts we hold for this entry, published 3 August 2026 to 1 October 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.
После того как я скинула 8 кг мне захотелось немного добавить чего-то нового в свой уход. Это одежда и в том числе баночки.
Моё новое уходовое средство для волос - фруктовая сыворотка кондиционер от бренда LUVINE. Волосы после неё такие мягкие, как у младенца. От этого же бренда у меня появилась пенка для умывания, тоник для лица и противоотечная маска.
Если честно я почти всю маску уже истратила, она хорошо помогае…
Сегодня город встретил меня шёпотом осенних улиц, и каждый переулок стал частью моей прогулки. Хотела поделиться с вами моим новым парфюмом от Faberlic, который был создан французским парфюмером. Этот свадебный аромат - не просто запах, это настроение, которое я вдохнула и не смогла отпустить. Нежные ноты раскрываются на коже мягко, но уверенно, оставляя шлейф, за которым хочется идти.
Этой осенью я буквально одержим…
Это мы заходили пообедать в наш любимый THE бык перед поездкой в Казань. Заказали ребай зерновой, стейк из форели, салат из говяжьего языка. Сын пообедал куриным бульоном и говяжьими котлетами с пюре. Это заведение стоит у нас с мужем на первом месте среди любимчиков.
Поездки в Казань изначально у нас должны были быть раз в три месяца на прием к ортодонту. Но из-за одного зуба приходится посещать врача раз в полтора…
Я решила сдать ДНК тест что бы узнать свой организм лучше. Меня сильно интересовало какие дефициты витаминов у меня есть и как лучше мне питаться.
Я на сегодняшний день скинула вес с 72 до 65, фото 72 кг в комментариях. Проблема в том, что с питанием я так до конца и не разобралась. Пить витамины и бады без точного понимания что к чему я тоже не хотела и поэтому на помощь пришел тест от my genetics.ru. После получе…
Вчера ужинали в CHANG и нам очень повезло с тем, что сын решил подремать часик. Решили воспользоваться ситуацией и попросили столик на улице, что бы насладиться ужином с мужем вдвоем.
Я заказала божественный сырный рамэн а муж как обыяно заказывает у них королевский том ям. Хочу отметить что мне ещё очень понравился персиковый чай и пьяная лапша.
Я В МАХ
Как же я давно хотела попасть к Алёне на запись в клинику APOKATANIDI и на днях моё желание сбылось.
Алёна Исаченкова это косметолог-эстетист, нутрициолог. Она проконсультировала меня по вопросам питания, ответила на все мои вопросы и сделала чистку лица с пилингом. После процедуры мне прислали в пдф документе заключение и рекомендации по питанию, расписали мне всю информацию от и до.
К сожалению моя кожа стала сух…
ДЕФФЧАТА — провожаем бабье лето громко в караоке-рюмочной Шотский! 💃
Советская эстетика, тёплый вечер, настойки, любимые песни и танцы до утра.
🎸 Живая музыка и бэнд-резидент
🎧 DJ и танцы
🎤 После 02:00 — караоке «Пой душой»
Бабье лето не провожают молча. Его провожают с музыкой, смехом, настойками и песнями, которые знает весь зал.
ДЕФФЧАТА — это вечеринка, на которой душевно, шумно и до утра. 🍷
📆26 сентября 21:…
Мы на три дня ездили в Казань чтобы отдохнуть, встретиться с родными и посетить ортодонта. Доехали очень комфортно, я наконец-то начала нормально высыпаться в машине. Всё это благодаря новой подушки для путешествий.
Я заказала подушку от бренда Sonador в красивом серо розовом цвете. Их подушки с эффектом памяти и имеют анатомическую форму, благодаря которой моя шея впервые не затекла. В комплекте ещё идёт защитный,…
Время летит просто с невероятной скоростью, я не заметила, как сентябрь начал подходить к концу. На улице уже холодно, а теплой одежды у сына нет. Поэтому мы снова отправились в Gloria Jeans
Чтобы в этот раз не тратить три часа на выборы и истерики Серёжи в магазине, я решила заранее подобрать образы в их приложении. Онлайн-покупки оказались намного удобнее.
Взяли водолазку и к ней теплые джинсы на флисе, смотрится…
Мы обожаем мороженное бренда чистая линия и в этот раз купили новинку «УБЕ».
Я не могу передать вам этот нежнейший вкус, но вам однозначно стоит его попробовать. Мне его даже сравнить несчем, кажется что похожего мороженного я ещё не пробовала нигде. Чистая линия как всегда сделали неповторимое.
А что, если… за нами следят альпаки? 🦙
— ИИ, нужна гениальная идея!
— Легко! Запустите контекстную рекламу, сделайте рассылку и напишите пост на VC.
...Ну спасибо, Кэп! Очень «свежо» и абсолютно бесполезно 🤷♀️
Знакомо? Сидишь, пытаешься придумать что-то этакое, идёшь к нейросети, а она выдаёт банальщину уровня:
«делай хорошо, плохо не делай».
Хотите узнать, как выбить из нейросети креативные идеи вместо шаблонн…
Хочу вам показать чем мы сейчас занимались с Сережей под вечер. Мы готовили его любимые шоколадные грибочки. Мы что-то подсели на домашние вкусняшки из кондитерской АНТ.
Кондитерская фабрика «АНТ» — один из крупнейших производителей вафельных полуфабрикатов и кондитерских изделий за Уралом.
На каждой коробочке написал уровень сложности, я готовила пока что только первый и второй уровень. Вам ничего дополнительно зак…
🥰122🔥108❤12
Showing the 12 most recent of 57 posts we hold for @zenkovichnatasha. 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
@zenkovichnatasha 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
23 September 2026
Most recent edit
23 September 2026
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 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
@zenkovichnatasha 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.
@mygenetics named in 4 posts, 27 September 2026 – 1 October 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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“Обо всём с Наташей” (@zenkovichnatasha), 33,117 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/zenkovichnatasha.
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.