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 57% 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.
Growth
60 measurements spanning 92 days, net +4,864. 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 16,012–22,345 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
7 Nov 2026, 07:09
21,614
+11
6 Nov 2026, 06:26
21,603
+26
5 Nov 2026, 03:30
21,577
+46
3 Nov 2026, 23:56
21,531
+36
2 Nov 2026, 23:27
21,495
+4
1 Nov 2026, 21:20
21,491
+44
31 Oct 2026, 17:45
21,447
+17
30 Oct 2026, 20:00
21,430
-14
29 Oct 2026, 18:07
21,444
+1
28 Oct 2026, 17:11
21,443
+21
27 Oct 2026, 15:16
21,422
+16
26 Oct 2026, 15:35
21,406
+116
25 Oct 2026, 14:31
21,290
+131
24 Oct 2026, 14:37
21,159
+7
23 Oct 2026, 13:46
21,152
-20
22 Oct 2026, 10:46
21,172
+86
21 Oct 2026, 04:06
21,086
+29
19 Oct 2026, 23:56
21,057
+24
19 Oct 2026, 02:18
21,033
+38
17 Oct 2026, 23:27
20,995
first reading
Engagement
23 posts held, back to 26 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 63 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
28.9%
avg views ÷ 21,614 subscribers
Avg views / post
6,240
5 posts measured
Reaction rate
1.03%
reactions ÷ views · ER floor
Posts in window
5
of 23 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 November 2026
Posts held
23 (26 June 2026 – 2 November 2026)
Views total
31,210
Reactions total
323
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 02:54 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
7m 51s
Average length
26s
Measured directly from 18 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
1,891 reactions across 23 posts, in 10 distinct kinds. The most used accounts for 54.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,036
54.8%
🔥
544
28.8%
😍
126
6.66%
👍
100
5.29%
🎉
40
2.12%
❤🔥
25
1.32%
🥰
12
0.635%
👏
6
0.317%
💯
1
0.053%
🤩
1
0.053%
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 23 of the 23 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 1,891 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 26 June 2026 to 2 November 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
1
across the posts below
Posts paid on
1
of 23 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 @shlomadaria. 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 23 most recent posts we hold for this entry, published 26 June 2026 to 2 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 5 posts held from the last 30 days (40.0%) 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).
Снова пополнила свои запасы от KAORI🤍
В этот раз взяла любимые свечи, диффузоры, спрей для текстиля и решила попробовать кое-что новенькое — скраб для тела с ароматом Африки. Очень понравилась его нежная текстура, он приятно наносится и оставляет кожу мягкой и ухоженной
Ну и, конечно, без любимых ароматов для дома не обошлось. Моими фаворитами до сих пор остаются «Бланк» и «Эден»! В этот раз заказала сразу 500 мл🤌🏼…
❇️И в честь анонса скидка будет действовать сразу на оба сборника ❇️
Только 2 дня — 22 и 23 числа — их можно забрать по самой-самой приятной цене:
«Обеды и ужины» (моя новинка!)
1390₽ ➔ 990₽
«Полезные завтраки»
890₽ ➔ 590₽
КОМБО: Завтраки + Обеды и ужины (самое выгодное предложение!)
1790₽̶ ➔ 1390₽
Переходите в мой бот и выбирайте то, что нужно именно вам — @shlomadaria_bot
ВАЖНАЯ ИНФОРМАЦИЯ!
Если вы активи…
Привет, мои дорогие 🤎
Вы просили — я сделала!
Те, кто подписан на меня в Instagram, скорее всего, уже видели очень важную для меня новость. И сегодня я с радостью делюсь ею и здесь
Вчера я открыла продажи на мой новый сборник заготовок и рецептов «Обеды и ужины»
Помните, когда я анонсировала сборник завтраков, вы очень просили сделать что-то похожее, но с идеями для обедов и ужинов? Я просто не могла оставить ваши…
УНИВЕРСАЛЬНЫЕ ЗАГОТОВКИ 🌟
Это те самые заготовки, которые готовлю 1 раз в месяц и потом не нужно каждый раз чистить, резать и обжаривать. Достала нужную порцию из морозилки и сразу в блюдо ↓
🧄Чеснок:
1.Чеснок делим на зубчики и заливаем горячей водой на 15 минут (делается это только для того, чтобы его было удобнее и быстрее чистить), очищаем и измельчаем в блендере;
2.Раскладываем небольшими порциями в форму и за…
Моя любимая заготовка, которую делаю каждую осень/зиму ☕
В холодное время года такие заготовки очень выручат. Храню их в контейнере в морозилке, а потом просто добавляю в заварочный чайник вместе с листовым черным чаем ↓
1. Облепиховый:
🍯 150 гр облепихи
🍯 1 апельсин без кожуры
🍯 1-2 ст.л мёда
🍯 палочки корицы (по желанию)
2. Смородиново-мятный:
☕️150 черной смородины
☕️1 лимон без кожуры
☕️ несколько веточек мяты
…
Этот пирог готовится проще простого, а по итогу получаем наивкуснейший обед, либо ужин. Еще и с тестом возиться не нужно, потому что его здесь и вовсе нет 🌟
Ещё со стиркой после готовки каждый раз возиться не люблю. Поэтому беру капсулы BioMiо. В одной капсуле здесь есть все необходимое: гель, кондиционер, аромагранулы и бустер-пятновыводитель.
Капсулы хорошо справляются с пятнами, а белье пахнет свежестью и остаетс…
Ну тут опять случилась любовь 💔
Забрала на днях снова посылочку от Kaori с моими заказами. Тут все как обычно стабильно, но и новиночки тоже есть 💫
Свечи любимые в банках, диффузоры, спрей для текстиля, вот ещё твердый бальзам взяла на пробу иии…ну это восторг! Аромат потрясающий и волосы такие напитанные после него. Мне однозначно нравится 😍
Ещё уже не в первый раз вам говорю про мой потрясающий парфюм для тексти…
Я вас умоляю, какой там 18 айфон, ко мне тут на днях кое-что покруче приехало 😍
Случилась долгожданная покупка морозильной камеры 🥹
Ну тааак я давно её хотела и всё не решалась, потому что не было особой необходимости. Все заготовки у меня прекрасно умещались в обычную морозильную камеру, которая встроенная в холодильник. Да, она небольшая, всего три отделения, но если хранить заготовки грамотно и без лишних продук…
🥞 Небольшая, но важная новость про сборник
Изначально мы планировали, что скидка на сборник будет действовать всего 3 дня. Но за это время было столько желающих его приобрести, что бот несколько раз не справлялся с нагрузкой 🥹
Поэтому мы решили продлить скидку еще на сутки, чтобы все, кто не успел приобрести сборник, тоже смогли это сделать по приятной цене
До конца 31 августа сборник можно приобрести за 623₽ вмес…
Девочки, небольшие новости
Сегодня было так много желающих приобрести мой сборник «Полезные завтраки», что бот временно не справился с нагрузкой и возникли неполадки 🥹
Сейчас все уже исправили — бот снова работает, и сборник можно приобрести ❤️
Если вы как раз собирались его забрать, переходите сюда @shlomadaria_bot
Если у вас возникнут какие-то вопросы или сложности с покупкой, обязательно пишите моему менеджеру…
❤17
Showing the 12 most recent of 23 posts we hold for @shlomadaria. 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
@shlomadaria 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
2 September 2026
Most recent edit
2 September 2026
Posts recorded as deleted after publishing
We recorded 1 post on @shlomadaria as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
26 August 2026
Most recent seen missing
26 August 2026
Median time before seen missing
44 days
Seen missing in the last 30 days
0
Mentions
Named by 6 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.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“shlomadaria” (@shlomadaria), 21,614 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/shlomadaria.
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.