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Channel

На богемном POEM CANDLE SHOP

@poem_candles

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

58subscribers

-3 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002922637599
TypeChannel
Username@poem_candles
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live9 October 2026
Measurements held4
Confirmed unchanged3 times, most recently 9 October 2026
On Telegramt.me/poem_candles

Topic

Other / unclassifiable — 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 29 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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

586159.57 August 2026 — 61 subscribers10 August 2026 — 61 subscribers8 September 2026 — 59 subscribers17 September 2026 — 58 subscribers7 August 202617 September 2026
4 measurements spanning 40 days, net -3. 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 58–61 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 03:3858-1
8 Sept 2026, 12:1859-2
10 Aug 2026, 04:3061no change
7 Aug 2026, 18:0361first reading

Engagement

5 posts held, back to 4 May 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 5 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 17s
Average length
39s

Measured directly from 2 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

14 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤857.1%
🔥321.4%
🥰321.4%

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 4 of the 5 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 4 May 2026 to 5 July 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

5 Jul 2026, 02:59 UTC29 viewsread 10 August 2026
Photo

За каждым портретом Ренессанса скрывалась не только красота — но и целая система ритуалов, рецептов и маленьких женских тайн. Красота всегда была языком. Сегодня мы смотрим на женщин Ренессанса как на муз с полотен великих мастеров. Но за этим образом стояли время, труд, рецепты, боль, риск и желание соответствовать идеалу эпохи. Листайте карусель — собрали 5 неожиданных бьюти-ритуалов, которые скрывались за портре…

28 Jun 2026, 06:54 UTC31 views4 reactionsread 10 August 2026
Photo

🎤 Speaking Club about Michael Jackson 🎤 04 JULY | 12:00 Любишь музыку, английский язык и интересные разговоры? Тогда приглашаю тебя на тематический Speaking Club, посвящённый легендарному Michael Jackson! Нас ждёт увлекательное обсуждение его жизни, творчества, самых известных песен и того влияния, которое он оказал на мировую культуру. 📖 Перед встречей каждый участник получит рабочую тетрадь с полезной лексикой,…

❤4

14 Jun 2026, 06:39 UTC35 views4 reactionsread 10 August 2026
Photo

Мастер-классы в июне💛 Приглашаем провести творческие выходные и создать украшение своими руками ❣️20 июня, 16:00 - браслет на ножку. Создадим стильный летний анклет из качественной фурнитуры и красивых бусин. Сделаете дизайн под свой вкус и заберете уже готовое украшение. ❣️28 июня, 16:00 - чокер. Сделаем летний чокер с индивидуальным дизайном. На мастер-классе вы научитесь основам сборки украшений и создадите свое …

❤4

4 May 2026, 08:34 UTC42 views3 reactionsread 10 August 2026
Forwarded from @ooohkatherinaPhoto

Gucci на неделе дизайна ✨

🔥3

4 May 2026, 08:34 UTC42 views3 reactionsread 10 August 2026
Forwarded from @ooohkatherinaPhoto

Gucci Memoria Gucci появились на миланской неделе дизайна и сделали целую выставку, показывающую историю модного дома. В основе проекта - 12 гобеленов с отсылками к известным итальянским картинам и к главным эпохам бренда. А открывающий экспонат - это вендинг машина с напитками, переосмысляющие архетипы Gucci. Идея выставки - подчеркнуть диалог между наследием и современностью в модом доме. #brand

🥰3

Showing the 5 most recent of 5 posts we hold for @poem_candles. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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

“На богемном POEM CANDLE SHOP” (@poem_candles), 58 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/poem_candles.

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.