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Channel

Школа Гельши

@gelificenta

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

176subscribers

-1 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-1002549715525
TypeChannel
Username@gelificenta
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live21 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/gelificenta

Growth

176177176.57 August 2026 — 177 subscribers8 August 2026 — 177 subscribers21 August 2026 — 176 subscribers7 August 202621 August 2026
3 measurements spanning 14 days, net -1. 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 176–177 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 19:54176-1
8 Aug 2026, 13:46177no change
7 Aug 2026, 18:48177first reading

Engagement

6 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.5%
avg views ÷ 176 subscribers
Avg views / post
67.8
6 posts measured
Reaction rate
15.2%
reactions ÷ views · ER floor
Posts in window
6
of 6 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 August 2026
Posts held6 (28 July 20265 August 2026)
Views total407
Reactions total62
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 13:46 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
10s
Average length
10s

Measured directly from 1 video 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 6 posts, in 4 distinct kinds. The most used accounts for 35.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52175492234860575152235.5%
custom 52517372576514889712235.5%
custom 54520812728033285661117.7%
custom 5330305961980623671711.3%

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 areTelegram’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 6 of the 6 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 6 most recent posts we hold, published 28 July 2026 to 5 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

5 Aug 2026, 14:41 UTC49 views11 reactionsread 8 August 2026
Photo

Мифы в парфюмерии, проверенные лично: (читаем и проверяем себя, сколько баллов из 5!) 1. Наносишь аромат и потом не чувствуешь его - значит он «твой». Нет, не значит. Рецепторы не так работают) Если вы нанесли аромат, который вам нравится и почти сразу перестали его чувствовать, вы либо мало нанесли (1-2 пшика), либо нанесли только на кожу (лучше добавить на одежду/волосы), либо аромат в слабой концентрации. Он може

custom 52517372576514889716custom 52175492234860575153custom 53303059619806236712

4 Aug 2026, 08:46 UTC57 views8 reactionsread 8 August 2026
Photo

Понимаю вам не до этого, но я разносила AromaBox Serge Lutens - «топ 8 ароматов»🤨 Не хочу грузить информацией, бренд невероятный, но «не мой»: почему - не знаю! И слава богу, потому что шкафа для духов у меня до сих пор нет!!! Хочется офлаконить ровно 2 аромата из подборки: ✔️Chergui и ✔️L’orpheline (второй, кстати, пахнет ладаном так, будто вы в лобби ультра дорогого отеля, ждете свой бокал воды). Самый провал -

custom 52175492234860575154custom 54520812728033285664

2 Aug 2026, 18:39 UTC62 views12 reactionsread 8 August 2026
Photo

Чудо нота в парфюмерии, которую я просто обожаю - лист томата! 🍅 А кто его не любит? Бессердечные люди, у которых не было дачи? Лист томата пахнет зеленью, землей и немного сладкими фруктами! Вечный спор: овощ томат или фрукт оставим гурманам, я знаю одно - зеленые листья делают парфюмерную композицию по-настоящему деликатной. Яркие представители - Итальянская кожа Memo, From the garden Maison Martin Margiela, Blo

custom 52517372576514889717custom 52175492234860575153custom 54520812728033285662

1 Aug 2026, 11:01 UTC70 views9 reactionsread 8 August 2026
Photo

Мой первый и единственный отливант, который я офлаконила! Может это и не номер один в моей коллекции, но он точно уникальный, раз я: 1. 1,5 года назад решила заказать себе отливант 2 мл 2. С тех пор ни одного отливанта не заказывала 3. Офлаконила его спустя полтора года, храня пустой фунфырик, потому что НРАВИТСЯ ЗАПАХ. (Видео прилагается) Теперь со спокойной душой могу выкинуть пробник State of Mind Modern Nomad

custom 52517372576514889716custom 53303059619806236713

29 Jul 2026, 14:20 UTC81 views12 reactionsread 8 August 2026
Photo

Экскурсия по парфюмерной лаборатории или как меня попросили не отвечать на вопросы, чтобы другие гости тоже поучаствовали 😅 (Ну, возможно другим гостям для этого нужно было тоже знать ответы…) шучу Реально ПОСЛУШАЛА ароматы, ниче не поняла, но звуки прикольные! Я вообще любитель необычных пространств, чего стоила интерактивная выставка Иеронима Босха ожившие картины на студии Ленфильма в Петербурге! В общем, понюх

custom 52175492234860575158custom 53303059619806236712custom 54520812728033285662

28 Jul 2026, 12:30 UTC88 views10 reactionsread 8 August 2026
Photo

А вот и наша нерегулярная рубрика - остатки)) Мне вообще сложно что-то закончить, мне вечно все не нравится, я чаще выкидываю) Если будет полезно - сохраняйте✌ 1. Спрей-сыворотка D’Alba закончена ПОЛНОСТЬЮ - в самолет, в отпуск, на дачу, в офис! Пшик! 9/10😋 2. Шампунь Davines MOMO - мой бывший любимчик, но… прошла любовь завяли помидоры, очищает хуже чистой линии. 3. Шампунь Чистая линия - моя любовь, только он!❤

custom 52175492234860575154custom 52517372576514889713custom 54520812728033285663

Showing the 6 most recent of 6 posts we hold for @gelificenta. 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.

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

“Школа Гельши” (@gelificenta), 176 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/gelificenta.

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.