Обзор на BIG HOODIE от @kristinannaa На какие вещи ещё сделать обзор?
custom 527425804322212675611custom 52715886738030225306custom 52742755623937262034
![Telegram profile photo for OPEN SYMBOLS [uniform]](https://cdn.tgregister.com/av/a3/a3ca81c1e595e4c91824406d06a2c7f8e0fd21b61aa0e80815b1a3af72e319b8.jpg)
Channel
@opensymbols
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
12,633subscribers
+603 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001859997534 |
|---|---|
| Type | Channel |
| Username | @opensymbols |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/opensymbols |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 03:00 | 12,633 | +16 |
| 3 Sept 2026, 06:35 | 12,617 | +16 |
| 2 Sept 2026, 03:02 | 12,601 | +27 |
| 1 Sept 2026, 04:15 | 12,574 | +46 |
| 31 Aug 2026, 04:45 | 12,528 | +6 |
| 30 Aug 2026, 07:57 | 12,522 | +22 |
| 29 Aug 2026, 06:34 | 12,500 | +31 |
| 28 Aug 2026, 05:13 | 12,469 | +13 |
| 27 Aug 2026, 06:25 | 12,456 | +15 |
| 26 Aug 2026, 08:54 | 12,441 | +14 |
| 25 Aug 2026, 11:52 | 12,427 | +40 |
| 24 Aug 2026, 09:38 | 12,387 | +200 |
| 22 Aug 2026, 19:34 | 12,187 | +200 |
| 21 Aug 2026, 10:36 | 11,987 | -3 |
| 20 Aug 2026, 09:58 | 11,990 | +2 |
| 19 Aug 2026, 07:38 | 11,988 | -8 |
| 18 Aug 2026, 10:48 | 11,996 | +4 |
| 17 Aug 2026, 12:28 | 11,992 | +7 |
| 16 Aug 2026, 01:42 | 11,985 | -5 |
| 14 Aug 2026, 14:17 | 11,990 | first reading |
20 posts held, back to 24 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 46 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 20 (24 July 2026 – 30 August 2026) |
| Views total | 32,010 |
| Reactions total | 214 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 21:27 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.
Measured directly from 4 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.
351 reactions across 20 posts, in 3 distinct kinds. The most used accounts for 53.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5271588673803022530 | 187 | 53.3% | |
| custom 5274258043222126756 | 90 | 25.6% | |
| custom 5274275562393726203 | 74 | 21.1% |
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 20 of the 20 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 351 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 July 2026 to 30 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.
Обзор на BIG HOODIE от @kristinannaa На какие вещи ещё сделать обзор?
custom 527425804322212675611custom 52715886738030225306custom 52742755623937262034
Обзор на DOUBLE-SIDED BOMBER *Идеальное решение на осенне-зимний сезон. Выдержит до -15 градусов
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Стилизация наших JAPANESE SELVEDGE LOOSE JEANS от @kidfoxines
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кажется, пришло его время… скоро на него поднимется цена double-sided bomber jacket 13520 -> 16900 🥸😮🤓 примерить в спб: linia market в мск: vzhn
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RAW SWEATER + BAGGY JEANS Собрать такой же стильный образ можно на нашем сайте opensymbols.shop
custom 52715886738030225309custom 52742580432221267564custom 52742755623937262032
Posted without readable text
custom 52715886738030225307custom 52742580432221267565custom 52742755623937262033
Posted without readable text
custom 527158867380302253013custom 52742580432221267565custom 52742755623937262034
-что у тебя за джинсы -опен симболс -ты мне нравишься 21векк
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ВЫШЛИ ВЫШЛИ ВЫШЛИ!!! Джинсы на сайте opensymbols.shop
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baggy jeans [vintage blue / dark blue / black] — 7900 regular jeans [dark blue / black] — 7900 japanese selvedge loose jeans [black] — 8500 в 18:00 на opensymbols.shop отправка в течение 48 часов
custom 527158867380302253017custom 52742580432221267568custom 52742755623937262036
Posted without readable text
custom 527158867380302253015custom 52742580432221267565custom 52742755623937262034
Photo, posted without a caption
custom 52715886738030225306custom 52742580432221267561custom 52742755623937262031
Showing the 12 most recent of 20 posts we hold for @opensymbols. 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.
Named by 3 registered channels — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“OPEN SYMBOLS [uniform]” (@opensymbols), 12,633 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/opensymbols.
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.