Health & wellness — 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 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 why it has no browse page of its own yet.
Growth
35 measurements spanning 51 days, net -338. 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 27,705–28,145 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, 04:21
27,756
-56
17 Sept 2026, 16:20
27,812
-20
15 Sept 2026, 10:58
27,832
-13
13 Sept 2026, 19:40
27,845
-13
12 Sept 2026, 03:42
27,858
-17
9 Sept 2026, 21:36
27,875
-10
6 Sept 2026, 16:17
27,885
-11
4 Sept 2026, 06:56
27,896
-14
2 Sept 2026, 20:03
27,910
-15
1 Sept 2026, 18:05
27,925
-4
31 Aug 2026, 16:25
27,929
+1
30 Aug 2026, 17:36
27,928
-9
29 Aug 2026, 18:15
27,937
-6
28 Aug 2026, 19:33
27,943
-3
27 Aug 2026, 18:17
27,946
-3
26 Aug 2026, 19:08
27,949
-8
25 Aug 2026, 20:55
27,957
-6
24 Aug 2026, 17:57
27,963
-11
23 Aug 2026, 05:06
27,974
-7
21 Aug 2026, 18:27
27,981
first reading
Engagement
53 posts held, back to 9 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 82 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.75%
avg views ÷ 27,756 subscribers
Avg views / post
1,600
23 posts measured
Reaction rate
3.95%
reactions ÷ views · ER floor
Posts in window
23
of 53 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 October 2026
Posts held
53 (9 June 2026 – 4 October 2026)
Views total
36,696
Reactions total
1,450
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Oct 2026, 15:39 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
≈7,130
Videos
≈1,930
Links
≈488
Lifetime counters from Telegram’s own channel header, read 4 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
3m 48s
Average length
19s
Measured directly from 12 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
4,043 reactions across 53 posts, in 15 distinct kinds. The most used accounts for 56.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,287
56.6%
🔥
1,322
32.7%
👍
352
8.71%
😍
29
0.717%
💔
11
0.272%
👏
8
0.198%
❤🔥
7
0.173%
🤩
7
0.173%
🙏
6
0.148%
🤔
4
0.099%
🥰
3
0.074%
🆒
2
0.049%
🍾
2
0.049%
💯
2
0.049%
👌
1
0.025%
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 53 of the 53 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 4,043 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 9 June 2026 to 4 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.
Это небольшой тест на возраст 😁Ибо не все помнят этот салат (а придуман он был аж в 60-х годах и называется он «Пассажирский». Его придумали для подачи в вагонах-ресторанах на железной дороге.
А я люблю его с самого детства. Как я его только не готовила. И отваривала печень и жарила в муке. Заправляла и йогуртом и майонезом. Добавляла чеснок в заправку. В общем я экспериментировала.
Но классику ничто не заменит. Оч…
Доброе утро, мои хорошие ❤️
Сегодня снова утилизируем остатки толчёнки и готовим картофельные лепешки с сыром. Получается что-то среднее между лепешкой и жареным пирожком. В общем - это очень вкусно
Мука пшеничная 130 гр + мука на подсыпку
Картофель мятый 250 гр
Яйцо С1 1 шт
Зеленый лук небольшой пучок
Соль
Масло растительное 20 гр
В начинку: сыр тертый
Приготовление:
У меня просто мятый картофель, не пюре. Если у…
Доброе утро, мои хорошие 🤍
Сегодня на завтрак манная каша с воздушными облачками 😁 точнее каша с яйцом
Давно я хотела ее приготовить и вот наконец-то свершилось
Ингредиенты:
Молоко 300 мл
Манная крупа 2 ст л
Сахар 20 гр
Яйцо С1 1 шт
Соль щепотка
Приготовление:
В кастрюлю наливаем холодное молоко и добавляем манную крупу. Перемешиваем и помешивая доводим до кипения. Варим кашу 2-3 минуты снимаем с плиты.
Делим яйцо…
Как же я люблю те самые, «школьные» котлеты
С черным хлебом, все как положено
ШКОЛЬНЫЕ КОТЛЕТЫ С ЧЁРНЫМ ХЛЕБОМ 🔥
Те самые, супер вкусные!
На 6-7 шт (на видео готовлю двойную порцию)
Фарш говядина (говядина/свинина) 400 гр
Хлеб чёрный 160 гр (я люблю бородинский, он чуть сладкий, но в классическом рецепте обычный темный)
Лук 70 гр
Чеснок 2 зубчика
Молоко 200 мл
Соль, перец, масло растительное
Приготовление:
Хлеб за…
СЕГОДНЯ и ЗАВТРА - ПОСЛЕДНИЕ ДНИ ПРОДАЖИ МОЕГО НОВОГО СБОРНИКА ДЛЯ ПОХУДЕНИЯ 😊
Посмотрите на эти фото, это действительно те, кто похудел на моих сборниках. У всех разные истории лишнего веса, разный возраст, но все они однажды доверились моим сборникам и начали новую жизнь! Все стали выглядеть моложе, увереннее в себе и стали более здоровыми. 🫢
Начните худеть на моем детоксе, вы увидите минус уже с первого дня! 😉 А…
Доброе утро, мои хорошие ❤️
Заканчиваем завтраки из лаваша сочной и вкусной «тройной пепперони 🍕». Хотела двойную, но решила сделать ее посытнее
Как и в оригинале, здесь только соус, моцарелла и пепперони
Ничего лишнего
Ингредиенты:
Тортилья (можно взять лаваш, но мне именно пицца больше нравится с тортильей) 3 шт
Томатный соус краснодарский 80 гр + 1 ч л прованских трав
Пепперони 120 гр
Моцарелла для пиццы 150-170 …
Сделала для вас пост с лайфхаком. Как помыть много шампиньонов за 5 минут максимум
Вообще, крупные грибы я чищу. Но, как же я люблю этих малышей шампиков😍
Только чистить не люблю. А они все в земле как правило
Надеюсь пригодится 🤍
Доброе утро, мои хорошие 💚
Готовьте сразу тройную порцию 🔥Ведь эти чебуреки разлетаются как горячие пирожки👍 а сегодня в качестве секретного ингредиента у меня выступает тыква😋
Все просто. Каждый кусочек лаваша я опускаю в воду, считаю до трёх, вытаскиваю. Кладу фарш, распределяю его тонко по одной половине, накрываю другой половиной, скрепляю края (все склеивается отлично). Делайте прям в руке. Вытащили лаваш, по…
Доброе утро, мои хорошие ❤️
Мой обещанный завтрак в среду чуть не сорвался🙈. История такая: я днем приготовила этот ролл, но не успела сфоткать. Оставила его на столе и побежала принимать работу электрика (нам ставили розетки в комнатах). Пришел муж. Увидел ролл. Решил, что я ему оставила и поел😁(а это один из его любимых роллов)
Поэтому закончив уже все свои дела, когда мои уснули, я приготовила еще раз его. Поэтому…
Доброе утро, мои хорошие ❤️
Творожный пирог с изюмом и лавашом, со сливочным маслом да капелькой любви🥰
Знаете, а я ведь совершенно забыла, что раньше часто делала такую сладкую выпечку типа ленивой ачмы. Это же очень вкусно. И быстро и просто 🤌
Ингредиенты:
Лаваш 120-150 гр
Творог 200 гр (любая жирность)
Яйцо С1 2 шт
Сахар 80 гр
Изюм 50 гр
Молоко 100 мл
Сливочное масло 20 гр
Приготовление:
Лаваш рвем руками на м…
🔥47❤18
Showing the 12 most recent of 53 posts we hold for @marysyasobol. 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
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 5 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Марина Осецкая PP_MARI_FOOD @pp_mari_food_official · 37,739 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 31 August 2026
Lanaoky @lanaoky_znaet · 20,382 Telegram ranks this channel #8 of 58 here — alongside 57 others — read 27 September 2026
@liliya_foodbloger @liliya_foodblogger · 27,793 Telegram ranks this channel #16 of 75 here — alongside 74 others — read 10 September 2026
Вика Машарипова @viktoriamasharipova · 20,583 Telegram ranks this channel #25 of 50 here — alongside 49 others — read 26 September 2026
Grehova_pp @grehova_pp · 28,823 Telegram ranks this channel #31 of 66 here — alongside 65 others — read 9 September 2026
Светлана Саисламова | ПП Рецепты @saislamova · 75,680 Telegram ranks this channel #33 of 67 here — alongside 66 others — read 19 August 2026
Варим-Жарим @varim_garim · 20,418 Telegram ranks this channel #34 of 60 here — alongside 59 others — read 27 September 2026
alenka.morozik @alenkamorozik · 100,745 Telegram ranks this channel #34 of 72 here — alongside 71 others — read 15 August 2026
Elena_GoodFood @elena_goodfood · 33,223 Telegram ranks this channel #38 of 85 here — alongside 84 others — read 4 September 2026
Kiwihealthy @kiwihealthy · 22,744 Telegram ranks this channel #42 of 93 here — alongside 92 others — read 19 September 2026
Blondinka_na_pp @blondinka_na_pp · 25,966 Telegram ranks this channel #44 of 82 here — alongside 81 others — read 13 September 2026
Даша_худей печатает… @dasha_hudey · 34,217 Telegram ranks this channel #50 of 52 here — alongside 51 others — read 3 September 2026
Liza_tasty_blog @liza_tasty_bllog · 51,894 Telegram ranks this channel #51 of 88 here — alongside 87 others — read 24 August 2026
Елена @lenin_dom @lenin_dom · 57,919 Telegram ranks this channel #55 of 65 here — alongside 64 others — read 22 August 2026
pp_foodpro @pp_foodpro_tg · 35,250 Telegram ranks this channel #56 of 76 here — alongside 75 others — read 2 September 2026
Рецепты от Аллы @alla_terechenko86 · 42,673 Telegram ranks this channel #56 of 75 here — alongside 74 others — read 28 August 2026
july_kona ЗОЖ @july_fit · 25,501 Telegram ranks this channel #57 of 80 here — alongside 79 others — read 14 September 2026
Rovenskaya_sveta @rovenskaya_sveta · 30,598 Telegram ranks this channel #58 of 86 here — alongside 85 others — read 6 September 2026
Семья_Ксю @ksu_family_tk · 67,501 Telegram ranks this channel #58 of 75 here — alongside 74 others — read 20 August 2026
Julromanj. Рецепты, похудение @julromanj · 22,749 Telegram ranks this channel #60 of 87 here — alongside 86 others — read 20 September 2026
АДИЛЕ @adile.mommy ❤️ @adilemommyy · 70,486 Telegram ranks this channel #60 of 73 here — alongside 72 others — read 20 August 2026
Доктор Смирнова @smirnova_doctor · 89,263 Telegram ranks this channel #60 of 70 here — alongside 69 others — read 17 August 2026
Рецепты от Ксю @ksu_recepty · 42,456 Telegram ranks this channel #61 of 72 here — alongside 71 others — read 29 August 2026
Рецепты ПП: правильное питание, диетические рецепты, похудение, фитнес👍 @ppfood_recepty · 30,581 Telegram ranks this channel #62 of 72 here — alongside 71 others — read 6 September 2026
This channel appears in 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Маруся” (@marysyasobol), 27,756 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/marysyasobol.
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.