Personal blog — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 45 days, net -1,006. 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 28,051–29,359 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
19 Sept 2026, 15:59
28,202
-39
17 Sept 2026, 05:19
28,241
-29
15 Sept 2026, 03:01
28,270
-9
13 Sept 2026, 13:20
28,279
-41
11 Sept 2026, 18:22
28,320
-81
9 Sept 2026, 08:18
28,401
-43
6 Sept 2026, 00:18
28,444
-24
3 Sept 2026, 18:01
28,468
-36
2 Sept 2026, 13:17
28,504
-17
1 Sept 2026, 13:03
28,521
-16
31 Aug 2026, 12:45
28,537
-9
29 Aug 2026, 14:56
28,546
-1
28 Aug 2026, 18:06
28,547
-6
27 Aug 2026, 21:24
28,553
-11
26 Aug 2026, 21:25
28,564
-25
25 Aug 2026, 19:12
28,589
-42
24 Aug 2026, 21:53
28,631
-75
23 Aug 2026, 10:37
28,706
+2
21 Aug 2026, 19:39
28,704
-23
20 Aug 2026, 16:58
28,727
first reading
Engagement
27 posts held, back to 29 June 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.9%
avg views ÷ 28,202 subscribers
Avg views / post
7,030
8 posts measured
Reaction rate
1.91%
reactions ÷ views · ER floor
Posts in window
8
of 27 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 23 September 2026
Posts held
27 (29 June 2026 – 23 September 2026)
Views total
56,270
Reactions total
1,077
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 16:20 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
180
Videos
71
Links
32
Lifetime counters from Telegram’s own channel header, read 25 September 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
10m 27s
Average length
1m 03s
Measured directly from 10 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
4,364 reactions across 27 posts, in 34 distinct kinds. The most used accounts for 33.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,439
33.0%
❤
991
22.7%
👍
803
18.4%
❤🔥
274
6.28%
😁
223
5.11%
😱
121
2.77%
🤣
72
1.65%
👌
70
1.60%
👀
35
0.802%
💯
34
0.779%
🤡
33
0.756%
👏
32
0.733%
🤔
31
0.71%
🤝
26
0.596%
😢
24
0.55%
🥰
24
0.55%
👎
21
0.481%
💩
19
0.435%
🤮
15
0.344%
🤯
13
0.298%
14 further kinds
64
1.47%
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 27 of the 27 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 4,364 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 29 June 2026 to 23 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
43
across the posts below
Posts paid on
16
of 27 we hold a reading for · 59%
Most on one post
8
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @drugaya_natasha. 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 27 most recent posts we hold for this entry, published 29 June 2026 to 23 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
7.41%
2 of 27 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
8,900
over 2 measured posts
Median views · rest
12,800
over 25 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.
Measured over the 27 most recent posts we hold, published 29 June 2026 to 23 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.
Хочу сказать всем большое спасибо за поддержку, если хотябы половина из ответивших «Да» подпишется, то я смогу позволить себе услуги монтажера и оптимизировать процесс создания видео!
Планирую выпускать 2 подробных разбора своих проектов (рассказывать о поставленных задачах, сложностях с которыми я столкнулась и как обходила те или иные ограничения модели). Результаты и фрагменты этих видео я также планирую выкладыв…
Сижу я, значит...работаю над очередным проектом и не замечаю, как снова тратятся токены на новые эксперименты и видео...Опять надо пополнять баналс и фигачить.
При этом из-за большого объема работы я не успеваю снимать видео обучалки и прочее...и они уходят на второй план. И тут я подумала, как совместить приятное с полезным для себя и для вас...
Что вы думаете о канале бусти, где я по ежемеячной подписке 300р расс…
А вы знаете, что в интернете сейчас очень вирусная история, где люди, наконец-то начали объяснять для чего в воду при готовке добавляется лавровый лист?
Так вот, я тоже хочу быть в тренде и поэтому рассказываю, что лично я добавляю лавровый лист для того чтобы
Технологии уже в постели!
Умным матрасом сейчас никого не удивить, ортопедической подушкой - тоже. Они у меня в арсенале давно…но вот то что одеяло может быть особенным и помогать лучше спать - это что-то новенькое)
Короче, теперь у меня есть ещё и тяжёлое одеяло (аж 6кг для полуторки). Эффект необычный, как будто тебя обнимают во время сна и я, правда, не знаю, как это работает, но это работает! Как заметила? Стал…
В общем, зафакапилась я знатно) Меня давно тут не было с новостями и не просто так. Я генерила секреточку)
Решила, в общем, принять участие в конкурсе от Синтакс и…не заняла никакое место, потому что не заметила одно из обязательных технических условий, а именно - не поставила лого на видос (торопилась). Бывает 😅
Так что будьте внимательны, когда участвуете где-то и не делайте всё в последний момент, как я 😂
Но я в…
Крайне редко такое говорю, но бордовый цвет - прям удачный. Скорее всего я не куплю новый айфон и продолжу ходить со своим битым миником (я решила его пока не чинить)
Но именно бордовый очень нравится, красиво)
А вот раскладушку хотелось бы в руках покрутить 👀
Когда говоришь, что нейросети это дорого и никто не верит, что можно реально столько тратить на генерации…
Вот отчет за месяц, друзья)
И с началом осени вас! 😅
Showing the 12 most recent of 27 posts we hold for @drugaya_natasha. 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.
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Другая Наташа” (@drugaya_natasha), 28,202 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/drugaya_natasha.
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.
