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 12 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
13 measurements spanning 38 days, net -90. 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 7,890–8,007 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 11:38
7,903
-5
10 Sept 2026, 20:40
7,908
-8
5 Sept 2026, 18:19
7,916
+1
1 Sept 2026, 17:25
7,915
+9
29 Aug 2026, 17:25
7,906
+3
27 Aug 2026, 01:52
7,903
-23
24 Aug 2026, 09:18
7,926
-15
20 Aug 2026, 16:22
7,941
-18
17 Aug 2026, 16:25
7,959
-4
14 Aug 2026, 17:28
7,963
-13
11 Aug 2026, 14:32
7,976
-15
8 Aug 2026, 05:51
7,991
-2
7 Aug 2026, 18:16
7,993
first reading
Engagement
32 posts held, back to 3 August 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.92%
avg views ÷ 7,903 subscribers
Avg views / post
468
3 posts measured
Reaction rate
3.35%
reactions ÷ views · ER floor
Posts in window
3
of 32 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
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
32 (3 August 2026 – 28 August 2026)
Views total
1,404
Reactions total
47
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 20:00 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
1m 58s
Average length
24s
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
511 reactions across 30 posts, in 20 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
160
31.3%
🔥
98
19.2%
😍
87
17.0%
❤🔥
50
9.78%
🤩
38
7.44%
💅
18
3.52%
👍
12
2.35%
🍓
11
2.15%
custom 5195463835930085418
8
1.57%
🕊
6
1.17%
😎
6
1.17%
🐳
4
0.783%
🍾
3
0.587%
💯
2
0.391%
🙏
2
0.391%
🥰
2
0.391%
🌚
1
0.196%
👏
1
0.196%
💘
1
0.196%
😘
1
0.196%
Custom emoji. One 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 count beside it is 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 30 of the 32 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 511 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 3 August 2026 to 28 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.
Забудьте всё, что вы знали о традиционных свадебных аксессуарах 🤯
Вместо привычной фаты — ажурные узоры вокруг глаз, жемчужные сети и объемные банты из органзы. Собрали для вас пинтерест-подборку: выглядит завораживающе и очень эстетично!
На чьей стороне ты?
🤍 — За классическую фату, проверенную временем
🔥 — За необычные и смелые аксессуары
#вдохновение
Запрещать запрещается! Что если воплотить на свадьбе детские мечты на берегу залива?
Лера и Коля живут в Барселоне и на свою свадьбу приехали с чемоданом вещей, которые сделали своими руками. Лера делает керамику и лично отлила больше 30 свечей для свадьбы. Коля тем временем печатал подстаканники на 3D-принтере.
Вместо стандартных подарков гостям — настоящий автомат с призами: свечи, фигурки «Sylvanian families» и …
Если в 2 ночи вы получаете сообщение «Давайте всё-таки встретимся у амбара», вы либо мафиози, либо организатор этой свадьбы
Алёна и Коля искали площадку с большой отельной зоной: почти все 60 гостей ехали из других городов и стран. Хотелось, чтобы свадьба была не просто вечером, а мини-отпуском для всех и мы с этой задачей справились.
Изначально мы с ребятами планировали ужин в амбаре из-за жары в день свадьбы, что…
Признаемся честно: когда пара говорит «хотим свадьбу по мотивам Властелина колец», становится немного страшно. Нам всё-таки нужен красивый праздник, а не ролевая игра по референсам из интернета.
Хотелось, чтобы фанаты считывали отсылки, а все остальные просто попадали в магический мир. Ради этого пересматривали фильмы, изучали вселенную и искали эльфийский хлеб.
В зале — монументальное дерево до потолка и Ривенделл…
The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Ради этой свадьбы мы искали эльфийский хлеб, лук со стрелами и готовили зелья. Уже догадались, в какой мир мы перенесли гостей?
Всё началось с мечты Арины о свадьбе диснеевской принцессы в замке. Но постепенно мы стали искать то, что объединяет ребят: Ваня обожает «Властелина колец», а Арина провела школьные годы в Англии и до сих пор помнит её старые сады, густую зелень и немного сказочную атмосферу.
Со свадьбой п…
Инструкция: как сбежать от всех и не пожалеть 💫
Есть свидания в ресторане, а есть — когда вы просыпаетесь в купольном домике у реки, пьёте кофе на террасе и теряете счет времени.
Мы нашли 8 мест, которые созданы для того, чтобы влюбляться заново.
А какой формат побега выберешь ты?
🥰 — В глухой лес и полную тишину
🐳 — На край света к воде и волнам
❤️ — Главное, чтобы рядом был(а) тот самый/ та самая
🖤Что будет, если Тим Бертон решит организовать свадьбу?
К нашей команде он пока не присоединился, поэтому пришлось справляться самим.
Саша и Данис любят тёмную эстетику, странные сказки и миры, в которых красота немного граничит с безумием. Поэтому одной из отправных точек стала «Алиса в Стране чудес». Но меньше всего хотелось превращать свадьбу в буквальную экранизацию.
Исторический особняк стал порталом в другую …
Мы можем сколько угодно рассказывать о себе, но интереснее, когда это делают пары✨
У нас есть отдельный канал, там можно почитать, что на самом деле думают ребята, с которыми мы делали свадьбу (а иногда и их гости).
Просто нажмите здесь.
#полезно
Showing the 12 most recent of 32 posts we hold for @vozdukhweddings. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 147%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 32 most recent posts we hold, published 3 August 2026 to 28 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Vozdukh weddings Свадебное агентство” (@vozdukhweddings), 7,903 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/vozdukhweddings.
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.