💬 〰️〰️〰️〰️〰️〰️ #ХолодноеМоре #Склейка
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Channel
@Librarium_Rybchik
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24subscribers
-3 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003996411147 |
|---|---|
| Type | Channel |
| Username | @Librarium_Rybchik |
| Created | 18 June 2026 — measured — dated from the channel’s first post |
| First recorded | 11 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 12 September 2026 |
| On Telegram | t.me/Librarium_Rybchik |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 08:38 | 24 | -1 |
| 26 Aug 2026, 20:43 | 25 | -1 |
| 19 Aug 2026, 23:44 | 26 | -1 |
| 12 Aug 2026, 05:37 | 27 | no change |
| 11 Aug 2026, 19:46 | 27 | first reading |
14 posts held, back to 18 June 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 14 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
90 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5440416987735946171 | 30 | 33.3% | |
| custom 5210765073533912058 | 17 | 18.9% | |
| custom 5438495556806672287 | 13 | 14.4% | |
| custom 5431604384859445564 | 10 | 11.1% | |
| custom 5440428528313072191 | 10 | 11.1% | |
| custom 5208758821295506753 | 5 | 5.56% | |
| custom 5211145526031956707 | 5 | 5.56% |
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 10 of the 14 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 18 June 2026 to 11 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.
💬 〰️〰️〰️〰️〰️〰️ #ХолодноеМоре #Склейка
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🔣В 📎Ορμӷαϻμ ργλμτ!🧻 была выложена новая записка ⬇️ 🌟🌟🌟🌟 ƁЏ ЏѰѲ ⴼΣ ӠѦѢӀΛЏ? 🌟🌟🌟🌟 ∏ƤѦƁЏΛƀⴼѦ, ʙⱀєʍᴙ 🌟🌟🌟 ʍѧєӣ ⱀƴѣⱀџκџ!!! 😎🤩 🌟🌟🌟 🩵 ∏ѧđƴʍѧʌ κѧκ ⱀѧӡ πѧđѧӣđƴϯ κ 🤩 ᴙʍѧʍ ƴ đѧʍѳʙ! 🩵 〰️〰️〰️〰️〰️〰️ #КорабликНаПлыву #Склейка
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Ҁⱀѧӡƴ πѳʜᴙϯʜѳ, ӌϯѳ ʜџκϯѳ џӡ ʙѧҁ ʜє ҁʍѳϯⱀџϯ ʍѳџ κѧⱀϯџʜκџ ҁ ѳⱀџґѧʍџ ѣѳʌƀɯє 2 ҁєκƴʜđ 😔 〰️〰️〰️〰️〰️〰️ #ХолодноеМоре
🔣В 📎Ορμӷαϻμ ργλμτ!🧻 была выложена новая записка ⬇️ 🌴 ∏ⱀѳđѧʌѧѫѧѥ ⱀƴѣⱀџκƴ ! Ƴⱀѧ Ƴⱀѧ ƳƤѦ !!! 🩵 ⴼѧ ϶ϯѧϯ ⱀѧӡ ƴ ʜѧҁ ѳⱀџґѧʍџ ґʌѧӡѧ! 🩵🩵🩵 〰️〰️〰️〰️〰️〰️ #КорабликНаПлыву #Склейка
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🔣В 📎Ορμӷαϻμ ργλμτ!🧻 была выложена новая записка ⬇️ ⴼѧʙєⱀʜѧ ʜѧđѧ ҁѥđѧ ɯϯѳϯѧ πџҁѧϯƀ, đѧ? 😀😀😀😀😀😀😀😀 ꋪ ∏ѦҐƳΛꋪΛ! ƁҀϮƤΣϮЏΛ ҞƳƳƳƳƳƳƳƳƳӋѦ, ᛖⴼѲҐѦ ᛖⴼѲҐѦ ᛖⴼѲҐѦ ⴼѲƁЏӼ ΔƤƳӠΣӢ!!!! Џ ʍџ πѧџґⱀѧʌџ џ ʙєҁџʌџʌџҁƀ!! ꋪ ƴӡʜѧʌ ɯѳ єҁϯƀ ҁʌѧʙѧ ѳϯ κѧϯѳⱀџχ ʌѥđᴙʍ ґⱀƴҁϯʜѧ! Ϯѳʌƀκѧ ᴙ ʙѧʍ џχ ʜџ ґѧʙѧⱀѧџʌ, ʜѳ ϶ϯѧ Џʜҁƴʌƀϯџκ, Ӽƴʜᴙ, ∏ѳχƴӣ, Ҁƴӌκѧ! 🤫 Ҁ ʜѳʙџʍџ Δⱀƴӡᴙʍџ ѳӌџʜƀ ʙєҁєʌѳ!!!! 🌊. Ѣѳʌƀɯџ ʙҁєґѳ ʍʜє ʜⱀѧʙᴙϯҁᴙ Ҟџҁѧʜđⱀѧ, ᛖџʙџ, Фџʌџʜ, Ѣѧⱀѣѧⱀџҁ, џ… 🤔 Ѧ…
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∏ⱀџκѳʌƀʜѧ! #КорабликНаПлыву
🔣В 📎Ορμӷαϻμ ργλμτ!🧻 была выложена новая записка ⬇️ 🌟 ∏ⱀџʙџϯ ʜѳʙӀє ʌѥđџ! ⴼѧӌџʜѧѥ ҁʙѳѥ ΛЏӋⴼƳѤ💬 ʜєʙєⱀѧᴙϯʜƴѥ ⱀƴѣⱀџκƴ 〰️〰️〰️〰️ 🤩"Ѳⱀџґѧʍџ ҁ ƤӀѣӌџκѳʍ"!!! 🤩 〰️〰️〰️〰️ Δѳҁϯѧʙѧӣϯє ҁʙѳѥ ѣƴʍѧґƴ🤩 џ πѳʙϯѳⱀᴙϯє ӡѧ ʍʜѳӣ! 〰️〰️〰️〰️〰️〰️ #КорабликНаПлыву #Склейка
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🔣В 📎Ορμӷαϻμ ργλμτ!🧻 была выложена новая записка ⬇️ ❗️Ǝӣ! Δѧ χʙѧϯџϯ ѳҁϯѧʙʌᴙϯƀ ѣƴʍѧґџ ʜѧ ҁϯѳʌє, ʙҁє ѫє ӡʜѧюϯ ӌϯѳ ѳʜџ πⱀѳҁϯѳ ʜѧʍѳκʜƴϯ џʌџ ᴙ џχ πѳϯєⱀᴙю!💬 Λƴӌɯє ѳҁϯѧʙʌᴙӣϯє ʙҁё ҁѧʍѳʌєϯџκѳʍ ʙѳѳѳϯ ϯƴϯ! 💬 Џ ᴙ ƴѫ ϯѳӌʜѳ πⱀѳӌџϯѧѥ! Σҁʌџ ʜѧ ӡѧѣƴđƴ… 〰️〰️〰️〰️〰️〰️ 💬 #КорабликНаПлыву
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🔣В 📎Ορμӷαϻμ ργλμτ!🧻 была выложена новая записка ⬇️ 🫧 ꋪ ϯѳѫє ϯѧκ χѳӌƴ! 〰️〰️〰️〰️〰️〰️ 💬 #Склейка
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Showing the 12 most recent of 14 posts we hold for @Librarium_Rybchik. 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.
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.
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.
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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“📎Ορμӷαϻμ ργλμτ!🧻” (@Librarium_Rybchik), 24 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/Librarium_Rybchik.
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.