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 99% 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
34 measurements spanning 44 days, net -780. 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 20,012–21,579 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 05:21
20,193
-43
16 Sept 2026, 17:21
20,236
-25
14 Sept 2026, 23:40
20,261
-42
13 Sept 2026, 11:20
20,303
-43
11 Sept 2026, 15:00
20,346
-57
9 Sept 2026, 03:36
20,403
-45
5 Sept 2026, 16:42
20,448
-24
3 Sept 2026, 13:18
20,472
-25
2 Sept 2026, 06:33
20,497
-20
1 Sept 2026, 04:26
20,517
-28
31 Aug 2026, 04:17
20,545
-17
30 Aug 2026, 03:56
20,562
-16
29 Aug 2026, 04:45
20,578
-23
28 Aug 2026, 01:33
20,601
-22
26 Aug 2026, 23:18
20,623
-24
26 Aug 2026, 00:22
20,647
-23
25 Aug 2026, 01:19
20,670
-17
23 Aug 2026, 14:14
20,687
-21
21 Aug 2026, 23:57
20,708
-32
20 Aug 2026, 19:59
20,740
first reading
Engagement
52 posts held, back to 1 August 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.7%
avg views ÷ 20,193 subscribers
Avg views / post
2,370
17 posts measured
Reaction rate
2.56%
reactions ÷ views · ER floor
Posts in window
17
of 52 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
52 (1 August 2026 – 2 September 2026)
Views total
40,302
Reactions total
1,033
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:16 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
31m 05s
Average length
1m 21s
Measured directly from 23 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
6,373 reactions across 51 posts, in 39 distinct kinds. The most used accounts for 25.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,598
25.1%
custom 5375122764598361936
637
10.00%
😍
499
7.83%
👏
365
5.73%
🥰
358
5.62%
custom 5375551153226401255
255
4.00%
custom 5310032397788546382
216
3.39%
custom 5377758409934257419
199
3.12%
custom 5375434042353140429
178
2.79%
custom 5384409561929103170
173
2.71%
✍
127
1.99%
custom 5382195111151025885
126
1.98%
custom 5190456788826222183
125
1.96%
custom 5321189996974078212
106
1.66%
custom 5377640577506492808
106
1.66%
custom 5375200834218901182
105
1.65%
custom 5427272193081905571
87
1.37%
custom 5226582493192286406
84
1.32%
custom 5327788316576216498
84
1.32%
custom 5307866845213137587
81
1.27%
19 further kinds
864
13.6%
Custom emoji. 15 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 52 of the 52 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 6,671 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 52 most recent posts we hold, published 1 August 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.
Гид для новичков: как подружиться с ретинолом?
И не сбросить кожу, как змея🐍
Осень уже здесь. Время доставать главный актив молодости ⏰
Но есть нюансы… Если нанести его сразу «от души», вместо идеальной гладкости в зеркале можно случайно обнаружить — 🍅
Сложили безопасную схему ввода ретинола: как мягко внедрять актив, чтобы эффективно и без шелушений.
Все нужные баночки уже ждут в корзине 👛🧷
🫧 — если будете про…
Вместо 10 банок: умные средства-трансформеры ⚡️🧴
Не хотите тратить время на сложную систему ухода и заставлять все полки флаконами?
🕐 Вы как раз вовремя: сегодня Арина показывает продукты-трансформеры, которые закрывают сразу несколько этапов.
От глубокого увлажнения до и лифтинга. Минимум банок — максимум результата 📈
Все мульти-средства собрали в корзине 👛
👛 — если тоже за разумный минимализм в уходе!
14+ и 40+: собираем две косметички на осень 🎒✨
Школы, университеты, офисы — все возвращаются в привычный ритм.
У кого-то впереди контрольные, а у кого-то — контроль над морщинами 😅✍️
Разной коже — разные «домашки»:
👛 с 14 лет — контролируем жирность и работаем с воспалениями.
👛 с 40 лет — поддерживаем плотность и разглаживаем морщины.
Листайте карусель, выбирайте свой вариант и забирайте средства из корзины 👀👛
…
ПРОДЛЕВАЕМ БОЛЬШУЮ РАСПРОДАЖУ 🍑🕶️
Лето закончилось, а наши скидки — нет!
Мы решили продолжить радовать вас и продлили наш главный скидочный марафон еще на одну неделю — до 6 сентября 📆
Осталось всего-ничего, чтобы выгодно перестроить уход на осень и забрать культовые баночки от Medicube, Celimax, Arocell и VT Cosmetics со скидками до -72%.
А любимые маски и патчи — все так же от 200 рублей 🤫
⏰ Новый дедлайн: до …
Что это там плавает в моей баночке? 😳
То золотые капсулы, то коллагеновые нити — корейцы не перестают удивлять трендовыми текстурами 💧
Но за этим безумным визуалом стоят мощные технологии и рабочие формулы!
Арина разбирает самые странные, залипательные и эффективные текстуры современности. Смотрим 📹
Все эти технологичные баночки уже ждут в корзине 👛
🫧 — если обожаете необычные текстуры в уходе!
У легенды 345 вышло обновление 👀
И это вообще не то, что вы думаете 🤫
🍁Оказывается, легендарный восстанавливающий крем от Dr. Althea обновили еще осенью 2025 года — формулу полностью пересобрали, и сейчас на полках все чаще встречается уже новая версия 345 Relief Cream.
Так что если вы помните «тот самый» 345 тюбик, есть шанс, что в последний раз вы пользовались еще старой формулой 😳
Алтана разобрала, что именно …
И все-таки: сколько СПФ наносить?
Чтобы и в Каспера не превратиться, и не сгореть… 👻
По секрету: одной горошинкой не обойтись. Арина наглядно показывает ту самую норму в видео.
Рекомендуем последовать ее примеру. Чтобы кожа оставалась молодой и упругой как можно дооооольше ⏰
Идеальные солнцезащитные кремы собрали в корзине 👛
🫧 — если не забываете про СПФ!
Пимпл-патчи бывают разные: выбираем под себя 🧐
Да, мы тоже немного в шоке… Оказывается, одни мини-патчи просто защищают уже «готовый» прыщик, а другие штурмуют глубокие подкожники 🎯
Всю подноготную разбирает Арина в видео — включайте!
Собрали всех противовоспалительных помощников в корзину 👛
🧳— если пополните запасы.
Любимый бренд семейства Кардашьян на букву M 👑
😵💫 В Голливуде сходят по нему с ума. А все потому, что их аппараты и банки запросто дают эффект «я только что из салона».
Разобрали самые любимые позиции звезд в ролике 📹
И да, лететь в Корею за этими технологиями — не обязательно!
🧴 До конца августа все хиты Medicube можно лично протестировать и забрать с кучей подарков на нашем поп-апе в Санкт-Петербурге!
Элина п…
custom 522658249319228640632🥰12🔥8
Showing the 12 most recent of 52 posts we hold for @cream_shop. 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
@cream_shop edited 2 posts 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
8 August 2026
Most recent edit
21 August 2026
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 13 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“cream.shop” (@cream_shop), 20,193 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/cream_shop.
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.