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Telegram profile photo for CALISTA

Channel

CALISTA

@calista_mood

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

11,849subscribers

-1,207 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001749670199
TypeChannel
Username@calista_mood
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/calista_mood

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 11 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 the other topics.

Growth

11,84913,05612,452.57 August 2026 — 13,056 subscribers7 August 2026 — 13,056 subscribers8 August 2026 — 13,051 subscribers9 August 2026 — 13,048 subscribers10 August 2026 — 13,036 subscribers11 August 2026 — 13,028 subscribers12 August 2026 — 13,002 subscribers14 August 2026 — 12,988 subscribers16 August 2026 — 12,957 subscribers17 August 2026 — 12,950 subscribers18 August 2026 — 12,943 subscribers19 August 2026 — 12,940 subscribers20 August 2026 — 12,925 subscribers21 August 2026 — 12,916 subscribers22 August 2026 — 12,848 subscribers24 August 2026 — 12,836 subscribers25 August 2026 — 12,806 subscribers26 August 2026 — 12,798 subscribers28 August 2026 — 12,793 subscribers28 August 2026 — 12,788 subscribers30 August 2026 — 12,785 subscribers31 August 2026 — 12,782 subscribers31 August 2026 — 12,777 subscribers1 September 2026 — 12,725 subscribers2 September 2026 — 12,732 subscribers4 September 2026 — 12,729 subscribers7 September 2026 — 12,697 subscribers10 September 2026 — 12,671 subscribers12 September 2026 — 12,665 subscribers14 September 2026 — 12,593 subscribers16 September 2026 — 12,588 subscribers18 September 2026 — 12,567 subscribers1 October 2026 — 12,489 subscribers6 October 2026 — 12,347 subscribers10 October 2026 — 12,035 subscribers13 October 2026 — 12,027 subscribers15 October 2026 — 12,025 subscribers16 October 2026 — 12,015 subscribers16 October 2026 — 12,007 subscribers18 October 2026 — 12,001 subscribers19 October 2026 — 11,995 subscribers20 October 2026 — 11,989 subscribers21 October 2026 — 11,976 subscribers22 October 2026 — 11,970 subscribers23 October 2026 — 11,963 subscribers24 October 2026 — 11,952 subscribers25 October 2026 — 11,936 subscribers26 October 2026 — 11,927 subscribers27 October 2026 — 11,916 subscribers28 October 2026 — 11,915 subscribers29 October 2026 — 11,902 subscribers30 October 2026 — 11,899 subscribers31 October 2026 — 11,890 subscribers1 November 2026 — 11,873 subscribers2 November 2026 — 11,864 subscribers4 November 2026 — 11,854 subscribers5 November 2026 — 11,849 subscribers7 August 20265 November 2026
57 measurements spanning 90 days, net -1,207. 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 11,668–13,237 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
5 Nov 2026, 20:1011,849-5
4 Nov 2026, 16:3611,854-10
2 Nov 2026, 13:1611,864-9
1 Nov 2026, 10:4811,873-17
31 Oct 2026, 10:4411,890-9
30 Oct 2026, 08:0511,899-3
29 Oct 2026, 05:0811,902-13
28 Oct 2026, 04:0011,915-1
27 Oct 2026, 06:5911,916-11
26 Oct 2026, 09:5811,927-9
25 Oct 2026, 06:3811,936-16
24 Oct 2026, 05:4711,952-11
23 Oct 2026, 05:5011,963-7
22 Oct 2026, 08:1111,970-6
21 Oct 2026, 01:0911,976-13
20 Oct 2026, 01:2711,989-6
19 Oct 2026, 00:3911,995-6
18 Oct 2026, 00:5812,001-6
16 Oct 2026, 23:0012,007-8
16 Oct 2026, 00:5912,015first reading

Engagement

44 posts held, back to 31 July 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.71%
avg views ÷ 11,849 subscribers
Avg views / post
795
8 posts measured
Reaction rate
2.55%
reactions ÷ views · ER floor
Posts in window
8
of 44 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 5 November 2026
Posts held44 (31 July 2026 – 5 November 2026)
Views total6,361
Reactions total162
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 19:29 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
4m 17s
Average length
13s

Measured directly from 20 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

933 reactions across 43 posts, in 3 distinct kinds. The most used accounts for 82.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤76982.4%
🥰11412.2%
💘505.36%

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 43 of the 44 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 933 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 44 most recent posts we hold, published 31 July 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 13:24 UTC356 views13 reactionsread 5 November 2026
Photo

Время теплого трикотажа 🤍 В холодный сезон особенно хочется окружить себя приятными фактурами. Мягкая шерсть мериноса, легкая и теплая альпака, классическая шерсть с ее узнаваемой фактурой. У каждого материала свои особенности, но все они по-своему хороши для прохладных дней. В Calista собрали джемперы, кардиганы, жилеты и свитеры с разными силуэтами и составами. Есть лаконичные модели для спокойных образов и факту…

🥰9❤3💘1

4 Nov 2026, 13:38 UTC656 views19 reactionsread 5 November 2026
Video

Похоже, пришло время достать самые любимые джемперы 🧶 С первыми холодами особенно ценишь материалы, к которым хочется прикасаться снова и снова. Нежный кашемир, тонкая шерсть мериноса и воздушная альпака становятся главными героями гардероба. У каждого материала свой характер, но объединяет их одно: тепло, мягкость и особенное ощущение уюта. В Calista мы собрали джемперы из этих благородных волокон: с лаконичными с…

🥰19

3 Nov 2026, 14:11 UTC736 views14 reactionsread 5 November 2026
Video

«Красота рождается на пересечении противоположностей» ❄️ Вдохновение металлом и стеклом проявляется в четкой геометрии, чистоте линий и прозрачности блузок. Ему противопоставлены объемный мех, мягкий трикотаж и выразительные ткани верхней одежды. Так холодная эстетика обретает глубину, а каждый образ становится самостоятельной историей. • CALISTA в ВКонтакте • CALISTA в MAX

❤14

2 Nov 2026, 12:02 UTC800 views22 reactionsread 5 November 2026
Photo

У каждой вещи есть детали, которые лучше всего раскрываются при личном знакомстве 🤌🏻 Как ложится ткань, насколько точно выстроен силуэт, как модель ощущается в движении. Именно поэтому мы любим атмосферу бутиков Calista. Здесь можно уделить время выбору, примерить неожиданные сочетания, рассмотреть новые модели и найти те самые вещи, к которым захочется возвращаться. Будем рады видеть вас в Calista и помочь с выбо…

❤14🥰8

1 Nov 2026, 13:52 UTC923 views23 reactionsread 5 November 2026
Photo

Мы видим, мы сделали: шубы CALISTA в разных прочтениях 🤎 Пушистый длинный ворс, мягкая фактура под овчину, выразительные принты и лаконичные силуэты. В коллекции мы собрали шубы и полушубки с разным характером: от сдержанных моделей до акцентных вариантов с принтами под рысь и олененка. Каждая модель дополнена утеплителем и рассчитана на температуру от +5 до −10 °C. Выразительная верхняя одежда, в которой стиль соч…

❤14🥰9

31 Oct 2026, 12:16 UTC967 views21 reactionsread 5 November 2026
Video

«Уют не всегда про мягкие ткани. Иногда это ощущение, когда каждая деталь на своем месте» 🩶 Жакет с воротником-стойкой и акцентом на талии выглядит особенно интересно в паре с широкими брюками в оттенке тауп. Мягкие складки, четкие стрелки и разница силуэтов создают сдержанное, но выразительное сочетание. Образ, в котором хочется замедлиться, укутаться в пальто и отправиться на долгую прогулку по осеннему городу. …

❤11💘6🥰4

30 Oct 2026, 13:29 UTC927 views23 reactionsread 5 November 2026
Photo

«Холодная эстетика, в которой есть место смелости» В этом образе нет привычной романтики. Воздушная шифоновая блуза с объемными рукавами и длинным шарфом приобретает совершенно новое настроение в сочетании с пушистой шубой. Мягкость фактур здесь встречается с четкой графикой черных кюлотов, а кожаные перчатки добавляют образу характерный штрих. Контрастные объемы, выразительные пропорции и немного дерзости. Образ, …

❤19💘3🥰1

29 Oct 2026, 14:09 UTC996 views27 reactionsread 5 November 2026
Photo

Стиль, который не боится экспериментов 🤎 Нам особенно нравится наблюдать, как вы стилизуете Calista: находите неожиданные сочетания, добавляете выразительные детали и по-своему раскрываете привычные модели. Тренчи и пальто становятся важной частью осеннего гардероба. Они задают настроение образу и позволяют экспериментировать с пропорциями, фактурами и аксессуарами. В разделе верхней одежды Calista можно найти вдо…

❤21💘5🥰1

2 Sept 2026, 10:01 UTC454 views10 reactionsread 2 September 2026
Video

Женственность строится на противоположностях, в ней одновременно существуют собранность и свобода, мягкость и внутренняя сила. Одно не исключает другое, и именно их сочетание делает образ цельным! Осенняя коллекция Calista исследует природу современной женщины: уверенной без демонстрации силы, чувственной без намерения понравиться, свободной без стремления что-либо доказать. Строгие линии жакетов и пальто встречаютс…

❤10

1 Sept 2026, 11:00 UTC642 views21 reactionsread 2 September 2026
Video

Хотя мы уже не идем в школу Первого Сентября и не слышим звук первого звонка, но в душе чувствуем легкий трепет, когда на календаре видим эту дату 💫 Сейчас же мы каждое утро собираем разные образы для разных поводов — в офис, на встречу или прогулку. Calista предлагает обширный выбор изделий для самых разных дней, чтобы каждый из них был особенным! •⁠ CALISTA в ВКонтакте • CALISTA в MAX

❤21

31 Aug 2026, 10:00 UTC751 views21 reactionsread 2 September 2026
Photo

Шопинг офлайн — это про удовольствие от процесса, а не только про результат 🤍 В магазинах Calista собран весь ассортимент и все размеры в одном месте — не нужно ждать доставки или гадать, подойдёт ли. Светлые просторные залы и примерочные, в которых комфортно примерять столько, сколько нужно. Консультанты, которые знают коллекцию и помогут собрать образ, подобрать размер или найти альтернативу, без давления и спешки…

❤21

30 Aug 2026, 10:02 UTC879 views20 reactionsread 2 September 2026
Photo

Загородный отдых — это повод одеться так, как не позволяешь себе в городе: с фантазией, без правил и с удовольствием от самого процесса! Рубашка из тонкой фланели с палантином в комплекте — один из тех предметов гардероба, который меняет образ в зависимости от того, как вы решите его носить. Накиньте палантин на плечи и получится лёгкий непринуждённый кейп. Зафиксируйте на бёдрах с помощью петли и пуговиц и рубашка …

❤20

Showing the 12 most recent of 44 posts we hold for @calista_mood. 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“CALISTA” (@calista_mood), 11,849 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/calista_mood.

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.