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Channel

Те самые скандики

@scandic_mnts

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

1,108subscribers

+37 since we began measuring on 2 September 2026

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

Register entry

Telegram ID-1003747560673
TypeChannel
Username@scandic_mnts
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live15 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/scandic_mnts

Growth

1,0711,1081,089.52 September 2026 — 1,071 subscribers3 September 2026 — 1,075 subscribers8 September 2026 — 1,094 subscribers12 September 2026 — 1,104 subscribers15 September 2026 — 1,108 subscribers2 September 202615 September 2026
5 measurements spanning 13 days, net +37. 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 1,065–1,114 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 20:001,108+4
12 Sept 2026, 07:211,104+10
8 Sept 2026, 12:551,094+19
3 Sept 2026, 06:271,075+4
2 Sept 2026, 17:451,071first reading

Engagement

13 posts held, back to 13 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
82.2%
avg views ÷ 1,108 subscribers
Avg views / post
910
9 posts measured
Reaction rate
4.32%
reactions ÷ views · ER floor
Posts in window
9
of 13 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 1 September 2026
Posts held13 (13 August 20261 September 2026)
Views total8,192
Reactions total354
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 17:45 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
52s
Average length
10s

Measured directly from 5 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

729 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 37.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 543164570244485421027637.9%
custom 544747543577444951514019.2%
custom 54319005486243276369112.5%
custom 5429103799065158170608.23%
custom 5429236788432514657435.90%
custom 5431783639614529927375.08%
custom 5431397384615665624304.12%
custom 5429363528622450493283.84%
custom 5429147616321511271243.29%

Custom emoji. Every row above is a 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 13 of the 13 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 729 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 13 August 2026 to 1 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

1 Sept 2026, 11:47 UTC683 views45 reactionsread 2 September 2026
Video

Коллаборация с Ксенией — это еще один способ поддержать творческие начинания ребят и вдохновить на развитие своих талантов. «Если бы кто-то сказал, что мои рисунки на асфальте окажутся на настоящих скандиках, я бы не поверила. Поддержка бесценна. Думаю, она важна не только для меня. Мне хочется, чтобы, глядя на эти баночки, люди не стеснялись рисовать и проявлять себя! И, кстати, один из вкусов будет мой любимый — „

custom 542923678843251465722custom 543164570244485421011custom 54313973846156656248custom 54474754357744495154

1 Sept 2026, 11:46 UTC≈1,590 views82 reactionsread 2 September 2026
Photo

Ксюша посетила производство SCANDIC® и поучаствовала в создании эксклюзивной коллекции. В октябре ее авторские рисунки появятся под крышками баночек в коллекции SCANDIC® Kids x Смешарики.

custom 544747543577444951554custom 543164570244485421016custom 54319005486243276369custom 54291476163215112712custom 54293635286224504931

1 Sept 2026, 11:45 UTC672 views29 reactionsread 2 September 2026
Video message

Video message, posted without a caption

custom 543164570244485421015custom 54319005486243276368custom 54293635286224504933custom 54474754357744495153

1 Sept 2026, 11:45 UTC641 views24 reactionsread 2 September 2026
Video message

Video message, posted without a caption

custom 543164570244485421013custom 54319005486243276366custom 54292367884325146572custom 54293635286224504932custom 54474754357744495151

1 Sept 2026, 11:44 UTC667 views36 reactionsread 2 September 2026

Творчество вдохновляет SCANDIC® Открываем двери завода. Отправляемся на экскурсию вместе с 14-летней Ксенией Щендрыгиной из города Болохово, Тульская область. Ксения рисует с детства. Мечтает стать художником-аниматором. В конце августа она нарисовала трех персонажей «Смешариков» — Кроша, Ёжика и Нюшу.

custom 542923678843251465719custom 543190054862432763610custom 54291476163215112714custom 54316457024448542103

27 Aug 2026, 13:25 UTC≈1,060 views41 reactionsread 2 September 2026
Video

Фотографии снимали в атмосферной квартире. Видео в трех разных локациях: в съемочной студии, на заводе и на улице. Может вы однажды приметили, как человек с гигантской баночкой скандик бегает по городу. Это были мы.

custom 542910379906515817018custom 542936352862245049312custom 54316457024448542109custom 54319005486243276361custom 54474754357744495151

27 Aug 2026, 13:24 UTC983 views35 reactionsread 2 September 2026
Video

Это время стало началом большой работы. Команда SCANDIC® готовилась к запуску соцсетей: креативили над созданием фото и видео. Достали архивные кадры — показываем как это было.

custom 544747543577444951521custom 54291037990651581706custom 54316457024448542106custom 54293635286224504932

27 Aug 2026, 13:24 UTC921 views32 reactionsread 2 September 2026
Video

Серия постов на тему «Как мы провели это лето»

custom 543190054862432763618custom 54316457024448542106custom 54291037990651581705custom 54291476163215112712custom 54293635286224504931

27 Aug 2026, 11:00 UTC975 views30 reactionsread 2 September 2026

Свяжемся с вами в ближайшее время, чтобы уточнить детали. Победители: 1. Марийка✨ (@MariaaaVlada) 2. kiff°° (@dddbbb69) 3. Aygul (@kiki_ist_hier) 4. Анастасия (@chego_o) 5. B.I.D (@Dogsmile3) 6. Наталия (@natali_edelweiss) 7. . (@sjidkmz) 8. Kate Vereikina (@katehuxley) 9. TTp0xBocT (@MppppAk) 10. Александра (@all_kost) ✔️Проверить результаты

custom 542910379906515817017custom 54316457024448542108custom 54291476163215112715

25 Aug 2026, 09:02 UTC≈1,010 views93 reactionsread 2 September 2026
Photo

Да-да, среди наших коллекционеров много творческих ребят. Например, Елизавета Парфенова (Элисссс) — художница и блогер. Она коллекционирует баночки со скандиками и делает из них диорамы — миниатюрные поделки, где внутри баночки помещается целая история. Вместе с Лизой собрали карточки, чтобы каждый смог проявить себя творчески. • Найди свой сюжет, чтобы создать диораму.

custom 543164570244485421051custom 544747543577444951525custom 542910379906515817010custom 54319005486243276365custom 54291476163215112712

20 Aug 2026, 07:09 UTC≈1,440 views49 reactionsread 2 September 2026

Posted without readable text

custom 544747543577444951531custom 543164570244485421011custom 54291037990651581703custom 54317836396145299273custom 54293635286224504931

18 Aug 2026, 11:00 UTC≈2,010 views179 reactionsread 2 September 2026
Video

Разыгрываем SCANDIC® Сollection — «Карамельный раф» Это одна из лимитированных серий — матовые баночки легко кастомизировать: напишите небольшой текст перманентным маркером и немного подождите. Такие скандики должны быть в вашей коллекции, поэтому дарим их вам. Для участия: ➡️подпишитесь на канал @scandic_mnts ➡️отправьте пост другу ➡️нажмите кнопку «участвую» 27 августа в 14:00 Телеграм-бот случайным образом выбе

custom 543164570244485421091custom 543190054862432763634custom 543178363961452992733custom 543139738461566562421

Showing the 12 most recent of 13 posts we hold for @scandic_mnts. 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.

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

“Те самые скандики” (@scandic_mnts), 1,108 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/scandic_mnts.

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.