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Channel

АРТИКОН

@articon

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

1,667subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001537896630
TypeChannel
Username@articon
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/articon

Growth

1,6631,6701,666.57 August 2026 — 1,663 subscribers8 August 2026 — 1,665 subscribers11 August 2026 — 1,670 subscribers14 August 2026 — 1,666 subscribers17 August 2026 — 1,667 subscribers1,6677 August 202617 August 2026
5 measurements spanning 10 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 1,662–1,671 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 11:261,667+1
14 Aug 2026, 06:541,666-4
11 Aug 2026, 05:551,670+5
8 Aug 2026, 08:251,665+2
7 Aug 2026, 10:021,663first reading

Engagement

15 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.6%
avg views ÷ 1,667 subscribers
Avg views / post
260
15 posts measured
Reaction rate
1.59%
reactions ÷ views · ER floor
Posts in window
15
of 15 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held15 (28 July 20267 August 2026)
Views total3,905
Reactions total62
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:51 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
5m 40s
Average length
1m 25s

Measured directly from 4 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

62 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 41.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2641.9%
👍1625.8%
🔥1321.0%
😍46.45%
23.23%
💯11.61%

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 15 of the 15 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 62reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 28 July 2026 to 7 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

7 Aug 2026, 14:50 UTC55 views1 reactionsread 7 August 2026
Video

Разбираем клинический кейс лечения на элайнерах. Доктор: Чеккуева Зухра ——— 18 августа курс Элайнеры | Maestro 3D V6 в практике врача-ортодонта и зубного техника Программа: https://articon.pro/education/course/12

1

7 Aug 2026, 08:36 UTC113 views6 reactionsread 7 August 2026
Photo

🌟Новинка в нашем каталоге: PMMA от Upcera!🌟 FLNT Temp представляет собой перекрёстно-сшитый PMMA в дисках для CAD/CAM-изготовления временных коронок и мостов. Преимущества материала: • прочность135 МПа снижает риск сколов и переломов; • однородная структура без полимеризационной усадки гарантирует точный и предсказуемый результат; • возможность создавать края толщиной до 0,2 мм; • технология с естественным переходо

3👍2🔥1

6 Aug 2026, 12:03 UTC150 views2 reactionsread 7 August 2026
Video

Точность печати начинается с расстановки поддержек. Показываем, как сделать это правильно на примере хирургического шаблона. ——— 11 августа вебинар Скан точный, модель - нет. Разберем всю цепочку 3Д печати в стоматологии Регистрация: https://articon.pro/education/webinar/scan-print-august-2026

1👍1

6 Aug 2026, 11:36 UTC154 views9 reactionsread 7 August 2026
Video

Титановая балка Ответная часть из Диоксида циркония Техник: Магомедов Шамиль

4🔥3👍1😍1

5 Aug 2026, 14:24 UTC≈1,180 views1 reactionsread 7 August 2026
Photo

🍂 Осенью работы становится больше. И гораздо спокойнее входить в высокий сезон, когда всё необходимое уже на месте. Поэтому до 31 августа в ARTICON действуют специальные условия на решения для ежедневной работы: ⚙️ Upcera A52DW — 1 550 000 ₽ Экономия до 250 000 ₽ на обновлении или усилении производства. 🦷 Блоки дисиликата лития Upcera — 2 500 ₽ При покупке от 40 упаковок или на сумму от 100 000 ₽. 🔵 Циркониевые д

💯1

5 Aug 2026, 13:21 UTC154 views5 reactionsread 7 August 2026
Photo

Непопулярное мнение: сегодня китайские производители двигают цифровую стоматологию быстрее, чем Европа и США. Китай перестал быть «бюджетной альтернативой». Во многих направлениях именно он задает темп развития рынка. Почему это произошло? Продолжение в комментариях👇

41

4 Aug 2026, 08:59 UTC188 views4 reactionsread 7 August 2026
Photo

Когда клыку не хватает места, просто выровнять передние зубы - недостаточно В данном клиническом случае верхний правый клык (13-й зуб) находился вне зубного ряда. В дополнение - сужение верхней и нижней челюсти, скученность зубов и нарушение соотношения зубных рядов Лечение выстроили поэтапно: 🔹создали место для клыка с помощью дистализации с опорой на мини-винт 🔹 провели расширение и выравнивание зубных рядов 🔹 ск

2👍1🔥1

3 Aug 2026, 09:43 UTC202 views2 reactionsread 7 August 2026
Photo

Принтер здесь ни при чём. Или не только он? Когда напечатанная модель не совпадает со сканом, первым под подозрение попадает принтер. Начинаются новые настройки, замена смолы и повторные печати. Хотя ошибка могла появиться гораздо раньше. Или позже. 11 августа на бесплатном вебинаре "Скан точный, модель — нет. Где 3D-печать теряет результат" разберём весь процесс по порядку: скан, подготовку файла, ориентацию модел

👍2

3 Aug 2026, 09:04 UTC237 views2 reactionsread 7 August 2026
Photo

Если ваш сканер уже не успевает за темпом современной практики — пора обновиться. ARTICON запускает Trade-in! Обменяйте свой старый интраоральный сканер на новый Rundeer V5 ⚡️Более быстрое и плавное сканирование ⚡️ИИ-помощник, ⚡️Комфортная работа с пациентами и ⚡️Поддержка на каждом этапе Хотите узнать, подходит ли ваш сканер для Trade-in и как проходит обмен? Напишите нам — расскажем все детали👇 ТГ @proscanertut

1👍1

31 Jul 2026, 12:12 UTC244 views6 reactionsread 7 August 2026
Photo

Мы знаем, как быстро рабочий календарь заполняется задачами. Поэтому заранее собрали для вас мероприятия на август и сентябрь в одном дайджесте, чтобы все даты и ссылки были под рукой. АВГУСТ 11 августа Вебинар «Скан точный, модель — нет» 18 августа Курс «Элайнеры | Maestro 3D V6» 19 августа Курс «Непрямая фиксация брекетов» СЕНТЯБРЬ 3 сентября Курс «Цифровое моделирование расширяющих несъёмных аппаратов» 4 сентябр

2👍2😍2

31 Jul 2026, 10:35 UTC260 views4 reactionsread 7 August 2026
Photo

15 минут на проверку цифрового сетапа могут сэкономить часы коррекций в кресле Даже при работе по цифровому протоколу результат может отличаться от желаемого. Причины часто возникают ещё на этапе диагностики и моделирования: недостаточно исходных данных, неточное позиционирование брекетов, отсутствие контроля и недооценка индивидуальных особенностей пациента В гайде «6 критических ошибок при цифровом планировании н

2👍1🔥1

Showing the 12 most recent of 15 posts we hold for @articon. 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.

Citation-graph rank

Citation-graph rank — 962,693 of 1,550,164entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“АРТИКОН” (@articon), 1,667 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/articon.

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.