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Channel

Korea.optom_1 (Djama.opt_)

@VOSTOK_MED_OPTOM

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

8,000subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001130656078
TypeChannel
Username@VOSTOK_MED_OPTOM
CreatedBetween 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/VOSTOK_MED_OPTOM

Topic

Ecommerce storefront — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

7,9978,0168,006.57 August 2026 — 8,004 subscribers8 August 2026 — 8,003 subscribers11 August 2026 — 8,011 subscribers14 August 2026 — 8,007 subscribers17 August 2026 — 7,997 subscribers20 August 2026 — 8,007 subscribers23 August 2026 — 8,008 subscribers26 August 2026 — 8,013 subscribers29 August 2026 — 8,016 subscribers1 September 2026 — 8,010 subscribers6 September 2026 — 7,997 subscribers10 September 2026 — 8,001 subscribers14 September 2026 — 8,004 subscribers18 September 2026 — 8,000 subscribers8,0007 August 202618 September 2026
14 measurements spanning 42 days, net -4. 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 7,994–8,019 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 07:178,000-4
14 Sept 2026, 11:588,004+3
10 Sept 2026, 17:198,001+4
6 Sept 2026, 00:577,997-13
1 Sept 2026, 14:258,010-6
29 Aug 2026, 19:288,016+3
26 Aug 2026, 14:438,013+5
23 Aug 2026, 19:168,008+1
20 Aug 2026, 12:068,007+10
17 Aug 2026, 14:277,997-10
14 Aug 2026, 01:298,007-4
11 Aug 2026, 03:518,011+8
8 Aug 2026, 07:388,003-1
7 Aug 2026, 18:168,004first reading

Engagement

60 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.839%
avg views ÷ 8,000 subscribers
Avg views / post
67.1
20 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
20
of 60 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 1 of 20 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 August 2026
Posts held60 (6 August 202628 August 2026)
Views total1,342
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 19:17 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
10m 34s
Average length
58s

Measured directly from 11 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

21 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1466.7%
👍628.6%
🥰14.76%

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 60 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 60 most recent posts we hold, published 6 August 2026 to 28 August 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 Aug 2026, 14:27 UTC80 views1 reactionsread 28 August 2026
Photo

❤️❤️❤️ ❤️❤️❤️❤️❤️ 1в1 с оригиналов ❤️ Та самая палетка с роскошной чёрной лошадью 🖤 Эффектный дизайн, который невозможно не заметить, и оттенки, созданные для красивого, сияющего макияжа. Hourglass — выглядит дорого, стильно и станет настоящим украшением косметички. ✨ Универсальные оттенки на каждый день и для вечернего образа ✨ Шелковистые текстуры легко наносятся и растушёвываются ✨ Красивое сияние и безупречный

1

Signed Korea.optom_

28 Aug 2026, 14:18 UTC57 viewsread 28 August 2026
Photo

💙💙💙 💙💙💙💙 Увлажняющий солнцезащитный крем Round Lab Birch Juice Moisturizing Sun Cream SPF50 + PA++ ++ Round lab спф крем с берёзовым соком на стабильных химических фильтрах нового поколения эффективно защищает кожу от агрессивных солнечных лучей, поддерживает оптимальный уровень увлажненности, укрепляет защитный барьер. Round lab spf cream Крем защищает от пагубного воздействия UVB-лучей и UVA-лучей , комфортно рас

Signed Korea.optom_

28 Aug 2026, 14:18 UTC51 viewsread 28 August 2026
Photo

🫧🫧🫧 🫧🫧🫧🫧 Солнцезащитный крем Round Lab с фактором защиты спф / spf 50 — лёгкое дневное средство, созданное для жирной, комбинированной и проблемной кожи. Текстура распределяется тонким слоем, быстро впитывается и не утяжеляет лицо, поэтому крем комфортно использовать ежедневно. Он не создаёт липкости, не выбеливает кожу и подходит в качестве базы под макияж, не провоцируя комедонов и прыщей. Формула построена на со

Signed Korea.optom_

28 Aug 2026, 14:18 UTC47 viewsread 28 August 2026
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➖➖➖ 9️⃣0️⃣0️⃣➖ Солнцезащитный крем round lab SPF 50+ - ваш надежный щит от вредного воздействия ультрафиолетовых лучей. Формула на основе физических фильтров бережно защищает кожу, предотвращая преждевременное старение и появление пигментных пятен. Физическая защита Физические фильтры - оксид цинка и диоксид титана - создают на коже барьер, отражающий солнечные лучи. Увлажнение Гиалуроновая кислота и березовый сок

Signed Korea.optom_

25 Aug 2026, 13:44 UTC84 viewsread 25 August 2026
Photo

🔤🔤🔤 1⃣6⃣0⃣0⃣🔤 Гель-бустер с PDRN - это уникальное средство для ухода за кожей лица и шеи, которое поможет вам сохранить молодость и свежесть кожи на долгие годы.Основной компонент продукта - PDRN (полимеризованная дезоксирибонуклеиновая кислота), который способствует регенерации клеток кожи и улучшению ее состояния. Средство также содержит витамин ВЗ (ниацинамид), который помогает уменьшить появление тонких линий и

Signed Korea.optom_

25 Aug 2026, 13:42 UTC69 viewsread 25 August 2026
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❤️❤️❤️ ❤️❤️❤️❤️❤️ Medicube PDRN Hydrating Gel Cleanser — это мягкий очищающий гель, который превращается в пену и предназначен для глубокого, но бережного очищения кожи от загрязнений, макияжа и излишков себума. Благодаря активным компонентам, таким как PDRN, LHA-кислота, керамиды, гиалуроновая кислота, пантенол и витамин В12, он не только очищает, но и способствует восстановлению кожного барьера, увлажняет, успока

Signed Korea.optom_

25 Aug 2026, 13:41 UTC62 viewsread 25 August 2026
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☁️☁️☁️ 1⃣2⃣0⃣0⃣☁️ Пенка с ПДРН medicube PDRN Pink Niacinamide Whip Cleanser глубоко очищает кожу от загрязнений, абсорбирует излишки себума и растворяет комедоны. Способствует осветлению сальных нитей и чёрных точек. Поддерживает оптимальный уровень увлажнения, предотвращает сухость и стянутость после умывания. Подходит для всех типов кожи.

Signed Korea.optom_

25 Aug 2026, 13:37 UTC57 viewsread 25 August 2026
Photo

🔤🔤🔤 1⃣5⃣0⃣0⃣✅ Medicube Мощный лифтинг-эффект и омоложение: Комплекс пептидов (Palmitoy| Pentapeptide-4, Acetyl Hexapeptide-8 и другие) и PDRN- компонент (Sodium DNA) работают на глубоком уровне, способствуя сокращению видимых морщин, повышению упругости и укреплению контуров лица. Интенсивное восстановление: В составе — ценнейшие биоактивные компоненты: экстракты икры лосося (Salmon Egg Extract) и молок рыб (Milt E

Signed Korea.optom_

25 Aug 2026, 13:37 UTC50 viewsread 25 August 2026
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🖋🖋🖋 1️⃣6️⃣0️⃣0️⃣🖋 Осветляющие пэды с витамином С medicube Deep Vita C Pad устраняют тусклый цвет лица, выравнивают тон и возвращают здоровое сияние. Отшелушивают ороговевший слой и смягчают огрубевшие участки кожи, разглаживают текстуру. Содержат гидролат облепихи, АНА, витамин С, 2 пептида, ниацинамид и лактобактерии лимонной цедры.

Signed Korea.optom_

25 Aug 2026, 13:37 UTC49 viewsread 25 August 2026
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🔤🔤🔤 1⃣3⃣5⃣0⃣🔤 Представляем сыворотку-бустер Medicube Collagen Glow Booster Serum pdrn - инновационное средство для интенсивного ухода за кожей лица. Формула с гидролизованным коллагеном и эластином способствует повышению упругости и эластичности кожи, разглаживает морщины и предотвращает появление новых. Молочный протеин и PDRN глубоко увлажняют и стимулируют регенерацию клеток, восстанавливая здоровое сияние. Ниац

Signed Korea.optom_

25 Aug 2026, 13:37 UTC54 viewsread 25 August 2026
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🔤🔤🔤 1⃣2⃣0⃣0⃣🔤 Тонер для упругости кожи с коллагеном medicube Triple Collagen Toner глубоко увлажняет, восстанавливает гидролипидный баланс, устраняет сухость и шелушение. Выравнивает текстуру кожи, смягчает и разглаживает, поддерживает эластичность и замедляет старение. Готовит кожу к уходу и способствует усвоению активов, устраняет тусклый тон лица и дарит здоровое сияние. Основу средства составляет комплекс из 8

Signed Korea.optom_

Showing the 12 most recent of 60 posts we hold for @VOSTOK_MED_OPTOM. 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

Names

Channels on the register whose handles appear in this channel's posts.

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

“Korea.optom_1 (Djama.opt_)” (@VOSTOK_MED_OPTOM), 8,000 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/VOSTOK_MED_OPTOM.

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.