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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
55 measurements spanning 97 days, net +77. 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 13,174–13,275 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)
Subscribers
Change
12 Nov 2026, 06:46
13,263
+2
8 Nov 2026, 18:51
13,261
+1
7 Nov 2026, 11:50
13,260
+2
6 Nov 2026, 08:24
13,258
+2
5 Nov 2026, 09:00
13,256
+2
4 Nov 2026, 07:06
13,254
-3
3 Nov 2026, 10:16
13,257
+2
2 Nov 2026, 08:20
13,255
-2
1 Nov 2026, 08:36
13,257
+12
31 Oct 2026, 07:37
13,245
+11
29 Oct 2026, 06:18
13,234
+11
28 Oct 2026, 05:35
13,223
+1
27 Oct 2026, 07:18
13,222
-2
26 Oct 2026, 07:29
13,224
+1
25 Oct 2026, 07:19
13,223
-1
24 Oct 2026, 07:14
13,224
-1
23 Oct 2026, 05:37
13,225
+2
20 Oct 2026, 23:39
13,223
-5
19 Oct 2026, 22:10
13,228
+6
18 Oct 2026, 21:56
13,222
first reading
Engagement
34 posts held, back to 19 March 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
37.8%
avg views ÷ 13,263 subscribers
Avg views / post
5,020
2 posts measured
Reaction rate
1.14%
reactions ÷ views · ER floor
Posts in window
2
of 34 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 30 October 2026
Posts held
34 (19 March 2026 – 30 October 2026)
Views total
10,030
Reactions total
114
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 20:12 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
147
Videos
3
Links
120
Lifetime counters from Telegram’s own channel header, read 12 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.
Reaction mix
2,056 reactions across 34 posts, in 18 distinct kinds. The most used accounts for 60.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,243
60.5%
🔥
431
21.0%
👍
209
10.2%
❤🔥
64
3.11%
🥰
40
1.95%
👏
16
0.778%
😭
12
0.584%
😍
10
0.486%
💋
7
0.34%
😁
7
0.34%
😢
5
0.243%
🐳
3
0.146%
💅
3
0.146%
👎
2
0.097%
🆒
1
0.049%
💘
1
0.049%
💩
1
0.049%
🤯
1
0.049%
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 34 of the 34 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 2,056 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 19 March 2026 to 30 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) 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).
Квашеная капуста при low FODMAP
Близится ноябрь, а это значит - сезон квашеной капусты! Чем она хороша? Она вкусная, содержит клетчатку и много витамина С, а благодаря ферментации - источник молочнокислых бактерий, полезных для микробиоты.
Но к сожалению, квашеная капуста может быть причиной вздутия и болей в животе.
Во время ферментации состав продукта значительно изменяется: микроорганизмы расходуют одни веществ…
«Неделька» Low FODMAP овощных салатов с капустой
🥬 Я люблю свежую капусту, часто храню в холодильнике нашинкованную капусту с натертой морковью, а к ужину просто достаю готовую смесь и заправляю растительным маслом. Это отличный вариант для ленивых. А для неленивых любителей разнообразия собрала 7 вариантов салатов с капустой на каждый день для красивого наполнения ваших гарвардских тарелок и увеличения потребления…
Low FODMAP Запечённые куриные крокеты с моцареллой
❤️ Нежные крокеты с песто, базиликом и моцареллой внутри — нарядное блюдо для семейного ужина или встречи с друзьями. Для особого случая крокеты можно обернуть прошутто — при запекании оно станет хрустящим.
🍽️ Порций: 4 — по 2 крокеты на человека
👝 Ингредиенты
🐥 Для крокетов:
❤️ Антипригарный кулинарный спрей — для противня
❤️ Куриные бёдра без кожи и костей — 5 к…
Low FODMAP запеканка с беконом и кабачком
🥒 Сезон кабачков позади, но у вас все же завалялась пара в холодильнике? Предлагаю выход! Рецепт назывался «Киш без теста», но по-честному, это запеканка, хоть и не совсем обычная. Кабачок делает ее нежной, бекон добавляет насыщенный вкус, а сыр соединяет всё в румяную, сытную запеканку. Ее удобно брать в контейнере на пикник, в офис или в ланчбокс.
🥣 Порций: 8
🫙 Подготовка…
Low FODMAP лимонный тарт с маскарпоне
🍋 Нежный лимонный тарт с шелковистой начинкой на рассыпчатой безглютеновой основе — десерт с яркой цитрусовой кислинкой и сливочной мягкостью. Он хорош для семейного чаепития, праздника или просто того самого вечера, когда хочется испечь что‑то по‑настоящему уютное.
🥣 Порций: 8–10
🫙 Подготовка: 30 минут + 30 минут на охлаждение теста
🙌 Приготовление: 40–45 минут
🧺 Ингредиенты…
Пост про выбор low-FODMAP тыквы мы писали еще весной, и вот наша подписчица Ольга делится его плодами 🎃 Нам невероятно приятно видеть, что это было полезно для вас 🍁
А сейчас можно снова к нему вернуться, чтобы выбрать безопасные сорта на рынке! Сезон тыквы открыт 🍁
💡 Напомним заодно, что можно приготовить из тыковки:
🍁Осенние тыквенные маффины
☘️Салат из тыквы с киноа
🔥Куриная запеканка с пастой и брокколи - одна…
Добрый день, хочу поделиться опытом по приготовлению овсяной каши с тыквой , прочитав ваш пост весной о безопасных сортах тыквы , решила попробовать вырастить тыковку из предложенных в посте безопасных сортов , остановилась на сорте Мраморная , и вот что получилось… плод весом более 10 кг 😅 по вкусу ничем не отличается от обычной магазинной , каша с этим сортом тыквы зашла животику на отлично 👍 Спасибо каналу за в…
Low-FODMAP запечённый лосось на нежной поленте с голубым сыром
🐟 Если вы ни разу не готовили поленту, то это прекрасное блюдо, чтобы попробовать! Оно выглядит нарядно, а готовится очень просто: сочный лосось запекается в духовке, а за это время на плите появляется мягкая, кремовая полента с пикантным голубым сыром. Отличный вариант для уютного ужина или приёма гостей без сложной подготовки.
🍚 Порций: 4
⏰ Подготовка…
Палочки из поленты с пармезаном и оливками
🍁 Хрустящие снаружи и мягкие внутри палочки из поленты — отличный вариант тёплой закуски, гарнира или перекуса. Их удобно готовить заранее: сначала полента застывает в форме, затем нарезается и быстро запекается до золотистой сырной корочки.
🥣Выход: около 30 палочек
☕ Подготовка: 15 минут + 1 час на охлаждение
🍁 Приготовление: 15–20 минут
🎃Ингредиенты
🧡 Куриный или овощно…
Мы с классными новостями! Для вашего любимого псиллиума от Kissel Kitchen появилась доставка в страны СНГ 💚
Когда оформляете заказ на сайте, выбирайте службу доставки СДЕК 💚
Желаю вам здоровых животиков и комфортного стула 🪑
Low FODMAP салат со шпинатом, сладким перцем и жареным тофу
🤩 Яркий салат с азиатским настроением: свежий шпинат, хрустящий зелёный перец, нежный жареный тофу и кедровые орешки. Заправка на соевом соусе, лимоне и кунжутном масле делает вкус насыщенным, но с маслом важно не переборщить — оно очень ароматное.
🍎 Порций: 4
🙏 Подготовка: 15 минут
🫶 Приготовление: 5 минут
🧺 Ингредиенты
🍵 Для заправки:
💛 Соевый соус — ¼ …
Свинина с овощами и киноа
🥘 Сытное второе блюдо с нежной свининой, овощами и рассыпчатой киноа. Это полноценный обед или ужин без отдельного гарнира: белок, овощи и крупа уже собраны в одной тарелке. Рецепт взят из раздела основных блюд low‑FODMAP книги Sue Shepherd.
🥣 Порций: 4
🫙 Подготовка: 15 минут
🙌 Приготовление: 25–30 минут
🧺 Ингредиенты
🔰 Для киноа:
🔵Киноа — 1 стакан
🟢 Вода или low‑FODMAP овощной/куриный бу…
🔥24❤17👏2
Showing the 12 most recent of 34 posts we hold for @drKissel. 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.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Kissel Kitchen” (@drKissel), 13,263 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/drKissel.
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.