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Channel

Китайская аптека🇨🇳

@traditional_chinese_med_vvo

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

367subscribers

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003471421750
TypeChannel
Username@traditional_chinese_med_vvo
DescriptionПрепараты традиционной китайской медецины, уходовая косметика, средства для волос и тела. Все строго фабричного производства для китайского рынка! 📍Мы находимся тц Луговая, бут. 120 +79841978999
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 September 2026
Last confirmed live28 September 2026
Measurements held1
On Telegramt.me/traditional_chinese_med_vvo

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Sept 2026, 12:22367first reading

Engagement

9 posts held, back to 12 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
61.3%
avg views ÷ 367 subscribers
Avg views / post
225
9 posts measured
Reaction rate
1.54%
reactions ÷ views · ER floor
Posts in window
9
of 9 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. It is computed over the 8 of 9 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 September 2026
Posts held9 (12 September 2026 – 28 September 2026)
Views total2,026
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 12:22 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
374
Videos
11
Links
1

Lifetime counters from Telegram’s own channel header, read 28 September 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.

Video runtime
29s
Average length
29s

Measured directly from 1 video 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

28 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 60.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1760.7%
👍932.1%
🔥27.14%

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 8 of the 9 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 12 September 2026 to 28 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.

Recent posts

28 Sept 2026, 09:57 UTC166 views10 reactionsread 28 September 2026

Девочки, вновь прибывшие, я Вас всех приветствую❤️, если есть вопросы пишите мне или звоните, всем, все расскажу +79841978999 я есть во всех мессенджерах

❤9👍1

28 Sept 2026, 09:22 UTC213 viewsread 28 September 2026
Photo

Сезон простуд уже наступает🤧 Shuang Huang Lian Kou Fu Ye от известного фармацевтического бренда Sanchine. В России этот продукт часто называют «природным антибиотиком». Для чего он применяется? Согласно традиционной китайской медицине, средство «удаляет жар и выводит токсины». В основном его используют при первых признаках простуды и респираторных инфекций, протекающих по типу «Ветра-Жара». Эликсир назначают для обле…

28 Sept 2026, 08:11 UTC284 views1 reactionsread 28 September 2026
Photo

Китайский порошок для лечения язв в ротовой полости от известного бренда 万通 (Wan Tong). Безрецептурный препарат китайской традиционной медицины от стоматита Основные функции и показания: Очищает от жара, подсушивает и заживляет раны/язвы. Применяется при изъязвлениях в ротовой полости (афтозном стоматите). Объем: 3 г × 1 флакон. Состав: Индиго натуральный (цин дай / 青黛), квасцы жженые (бай фань / 白矾), борнеол (бин п…

👍1

28 Sept 2026, 05:40 UTC264 views1 reactionsread 28 September 2026
Video

Тц Луговая, бут.120 цена 3600-10%

👍1

16 Sept 2026, 02:58 UTC257 views5 reactionsread 28 September 2026
Photo

Идеальный подарок🌹 Снова в наличии Лифтинг-крем с рекомбинантным коллагеном и пептидами, который при нанесении плотным слоем может использоваться как несмываемая ночная или смываемая экспресс-маска для сияния кожи. Ниже приведен лаконичный, структурированный перевод, полностью готовый Лифтинг-крем-маска для лица с коллагеном и пептидами VOGIYJM (Wan Peptide Recombinant Collagen Tightening Luminescent Film Cream) Опис…

❤5

15 Sept 2026, 10:44 UTC224 views3 reactionsread 28 September 2026
Photo

Снова в наличии‼️ Антивозрастной крем для лица против морщин от азиатского бренда VOGYJM. NMN Collagen Activating Cell Wrinkle Cream (Активирующий коллаген крем против клеточных морщин).Назначение: Основное действие средства направлено на омоложение, сокращение морщин, глубокое увлажнение и возвращение упругости зрелой коже. Ключевые активные компоненты (указаны в центре упаковки):NMN (Никотинамид мононуклеотид) — ин…

❤3

14 Sept 2026, 08:09 UTC211 views2 reactionsread 28 September 2026
Photo

Снова в наличии ❤️Отбеливающая зубная паста VOGY YJM, предназначенная для удаления пятен от кофе, чая и табака. * Назначение: Средство разработано для расщепления стойких пигментов и полировки эмали, а также для эффективного устранения неприятного запаха изо рта. * Активные компоненты: В ее состав включают гидроксиапатит (nHAP), который способствует бережному восстановлению и укреплению эмали. * Особенности: Продукт …

👍2

14 Sept 2026, 05:04 UTC198 views2 reactionsread 28 September 2026
Photo

Отбеливающие полоски для зубов марки SHIBUCI (Teeth Whitening Strips). Без чувствительности / Безопасно для эмали Новое поколение отбеливающих полосок способно улучшить цвет зубов и быстро отбелить их благодаря уникальной технологии кислородной активации и усовершенствованной формуле отбеливания. Инструкция по безопасности: Беременным женщинам и детям до 12 лет не следует использовать этот продукт. Продукт не должен …

👍2

12 Sept 2026, 05:36 UTC209 views4 reactionsread 28 September 2026
Photo

MICROBEAD COLLAGEN 12-HOUR GLOW YEAST SOLUTION Сыворотка с микросферами коллагена и дрожжевым комплексом для 12-часового сияния кожи Ампульный раствор / косметическая эссенция Вся серия рассчитана на пролонгированное 12-часовое действие: 12小时提亮 (12-hour brightening) — 12 часов осветления и выравнивания тона кожи. 12小时抗皱 (12-hour anti-wrinkle) — 12 часов активного разглаживания морщин. 12小时修护 (12-hour repairing) — 12 …

👍2🔥2

Showing the 9 most recent of 9 posts we hold for @traditional_chinese_med_vvo. 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.

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 28 September 2026 — this entry's latest reading, not the date you are reading this.

“Китайская аптека🇨🇳” (@traditional_chinese_med_vvo), 367 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/traditional_chinese_med_vvo.

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.