Marketing & affiliate — 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 94% 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
32 measurements spanning 51 days, net +115. 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 11,910–12,081 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
25 Sept 2026, 18:57
12,061
+36
17 Sept 2026, 08:41
12,025
-1
15 Sept 2026, 05:55
12,026
+5
13 Sept 2026, 11:16
12,021
+1
11 Sept 2026, 17:19
12,020
+5
9 Sept 2026, 00:19
12,015
+11
5 Sept 2026, 13:38
12,004
+7
3 Sept 2026, 18:38
11,997
+25
2 Sept 2026, 11:54
11,972
+13
1 Sept 2026, 14:54
11,959
+29
30 Aug 2026, 16:07
11,930
-4
29 Aug 2026, 18:38
11,934
-2
27 Aug 2026, 23:02
11,936
-1
26 Aug 2026, 22:18
11,937
-1
25 Aug 2026, 22:23
11,938
-1
25 Aug 2026, 01:17
11,939
-2
23 Aug 2026, 15:49
11,941
+2
21 Aug 2026, 22:39
11,939
+1
20 Aug 2026, 17:54
11,938
+3
19 Aug 2026, 17:35
11,935
first reading
Engagement
37 posts held, back to 22 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.5%
avg views ÷ 12,061 subscribers
Avg views / post
1,270
16 posts measured
Reaction rate
8.20%
reactions ÷ views · ER floor
Posts in window
16
of 37 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 2 September 2026
Posts held
37 (22 April 2026 – 2 September 2026)
Views total
20,283
Reactions total
1,664
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:21 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
32m 44s
Average length
1m 10s
Measured directly from 28 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
5,675 reactions across 37 posts, in 8 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
🔥
2,410
42.5%
❤
1,823
32.1%
🎉
527
9.29%
👏
418
7.37%
👍
284
5.00%
🤩
109
1.92%
🥰
103
1.81%
🤯
1
0.018%
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 37 of the 37 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 5,675 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 22 April 2026 to 2 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.
Новые Global Business Leaders Раушан и Дмитрий Глухих – семья, которой исполнилось 30, как и Siberian Wellness! 👏✨ Как здорово, что вы встретились и что наши пути пересеклись. Что вы объединили более 25 000 предпринимателей в 6 странах, стали Наставниками 6 ТОП-лидерских веток – ваша карьера уже потрясающая, но пусть самое яркое ждет еще впереди 🚀
До встречи на сцене 30-летия и на Global Weekend!
Спасибо за вдохнове…
Новый Global Business Leader Наталья Павлова – Лидер, у которой с момента знакомства с Компанией родилось двое прекрасных детей, международный бизнес, построенный на 100% онлайн, и 4 Global Business Leaders в команде! 🌟🌟🌟🌟
Спасибо за вдохновение десятков тысяч людей в 12 странах 🌍, накопленный опыт и щедрость в поддержке экопроектов. Вдвойне приятно признать достижения такого Лидера на юбилее Siberian Wellness.
С …
Красивая династия теперь на вершине красивого бизнеса с Siberian Wellness – поздравляем новых Global Business Leaders Ольгу Резникову и Татьяну Тавицкую!
Вы помогаете Бизнес-Партнерам получать достойный доход и приобретать автомобили мечты, работать онлайн и путешествовать – и изменили жизнь почти 40 000 людей! ⚡️😍
Добро пожаловать в клуб самых успешных и на сцену 30-летия команды Siberian Wellness. Новых амбициозны…
Есть больше чем бизнес и больше чем дружба. Есть самые крепкие и верные отношения в команде в сетевом. Мы начинали с Галиной, когда еще не было Siberian Wellness. (История Галины✨)
Прошел 31 год 💫
Это – невероятно важная квалификация для меня лично ❤️ И очень, очень заслуженная для Галины.
Друг, коллега, команда, первый руководитель производства еще юной Компании «Сибирское здоровье». Наставник целой плеяды ТОП-Лидер…
Showing the 12 most recent of 37 posts we hold for @tatianagorokhovskaya. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
MAMALAND @sw_mamaland · 28,240 Telegram ranks this channel #1 of 67 here — alongside 66 others — read 9 September 2026
Девочки, про кремики хотите? @devochkamprokremiki · 31,820 Telegram ranks this channel #1 of 64 here — alongside 63 others — read 8 September 2026
Siberian Wellness. PRO БАД @rusiberianwellness · 83,542 Telegram ranks this channel #1 of 67 here — alongside 66 others — read 19 August 2026
Для женщин про здоровье @volkovaforwomen · 278,052 Telegram ranks this channel #10 of 73 here — alongside 72 others — read 10 August 2026
Доктор Зубарева / Doctor Zubareva @doctor_zubareva · 402,924 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 10 August 2026
Санаторий Волковой. Осенняя смена @evolkova_for_women · 83,945 Telegram ranks this channel #16 of 75 here — alongside 74 others — read 18 August 2026
Оазис Здоровья @pr_dadali · 86,883 Telegram ranks this channel #26 of 83 here — alongside 82 others — read 17 August 2026
Барсукова Елена, интегративный врач-терапевт👩🏻⚕️ @drbarsukova · 30,324 Telegram ranks this channel #27 of 74 here — alongside 73 others — read 9 September 2026
Светлана Саисламова | ПП Рецепты @saislamova · 75,737 Telegram ranks this channel #47 of 67 here — alongside 66 others — read 19 August 2026
Екатерина Волкова | Женское здоровье 35+ @volkovaekaterina2024 · 54,777 Telegram ranks this channel #51 of 83 here — alongside 82 others — read 23 August 2026
⚕️ Дмитрий Семирядов️️ / Превентивный врач, нутрициолог / dsemiryadov @dsemiryadov_official · 76,614 Telegram ranks this channel #51 of 85 here — alongside 84 others — read 19 August 2026
СТОРИС ☕ ДОБРОЕ УТРО 👋 @goooddaysssss · 41,014 Telegram ranks this channel #53 of 59 here — alongside 58 others — read 29 August 2026
Надя Андреева - нутрициолог об энергии @shkolasvetlyachkov · 45,493 Telegram ranks this channel #56 of 92 here — alongside 91 others — read 27 August 2026
УПДН | Университет диетологии и питания @shkola_dietologov · 20,473 Telegram ranks this channel #63 of 81 here — alongside 80 others — read 27 September 2026
Клуб нутрициологов @miin_ankz · 50,066 Telegram ranks this channel #63 of 97 here — alongside 96 others — read 25 August 2026
МАН Нутрициология @man_academyofnutrition · 33,003 Telegram ranks this channel #71 of 94 here — alongside 93 others — read 4 September 2026
MOLODAY @molodayproduct · 149,552 Telegram ranks this channel #71 of 93 here — alongside 92 others — read 12 August 2026
Дадали В.А. Школа здоровья @putkzdoroviyu · 31,794 Telegram ranks this channel #75 of 89 here — alongside 88 others — read 6 September 2026
Ксения Машкина @dr_mashkina · 74,991 Telegram ranks this channel #76 of 97 here — alongside 96 others — read 19 August 2026
PRO питание и БАДы | Диляра Лебедева гастроэнтеролог @stomach_lebedeva · 63,479 Telegram ranks this channel #78 of 92 here — alongside 91 others — read 21 August 2026
Про здоровье | Наталья Кондакова доктор натуропатии @nataliakondakova_naturopat · 68,964 Telegram ranks this channel #81 of 93 here — alongside 92 others — read 20 August 2026
Академия Нутрициологии @nsa_academy · 63,486 Telegram ranks this channel #84 of 97 here — alongside 96 others — read 21 August 2026
Женское здоровье @pro_zhenskoe_zdorovie · 21,211 Telegram ranks this channel #91 of 95 here — alongside 94 others — read 24 September 2026
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Блог для ЗОЖ-предпринимателей ┃ Татьяна Гороховская” (@tatianagorokhovskaya), 12,061 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/tatianagorokhovskaya.
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.