Channel
@sugar_oii
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
39subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002945364518 |
|---|---|
| Type | Channel |
| Username | @sugar_oii |
| Description | н᧐ʙᥲя κᥲʙᥱρ ᴦρуᥰᥰᥲ ᥴ ᥰρ᧐ᴛ᧐ᴛᥙᥰ᧐ⲙ ᧘ᥱ ᥴᥴᥱρᥲɸᥙⲙ 𐍃ᥙᥲ Rᥲy Airᥲ 𑀉iᤁ Rᥱᥕᥕi᥊ ᴛg :: @sugar_oii ᴦρᥲɸ. ᧐ɸ᧐ρⲙ᧘ᥱнᥙᥱ :: sᥙᥲ ᴛᥱκᥴᴛ. ᧐ɸ᧐ρⲙ᧘ᥱнᥙᥱ :: sᥙᥲ 🪻— Суа; 🎆 — Рэй; 🍆 — Айра; 🧕🏻 — Лиз; 🔮 — Реввикс; 😈 — Шелла ᥰ᧐ ʙ᧐ᥰρ᧐ᥴᥲⲙ — @ss2hl |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/sugar_oii |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 20:30 | 39 | no change |
| 9 Aug 2026, 23:47 | 39 | first reading |
17 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 pageof 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 17 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
56 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 26.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5242568095180029205 | 15 | 26.8% | |
| custom 5282783433045607271 | 12 | 21.4% | |
| custom 5195429557796109258 | 8 | 14.3% | |
| custom 5337312986375685182 | 7 | 12.5% | |
| custom 5242539774165677513 | 6 | 10.7% | |
| custom 5348170058109581836 | 4 | 7.14% | |
| custom 5391272769344273365 | 3 | 5.36% | |
| custom 5467518261438481015 | 1 | 1.79% |
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 10 of the 17 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 56reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 18 June 2026 to 13 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.
▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ ﾐ 🌷 ʾʾ 𔓕 | ᏦᏢᎪШ ᏗИᏟᎢ | ꒱ 🪷 ^ 𑜴 ▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ ▭ׅ ▬ׄ 🫦Ꮐrᴏuᴩ 𝟣. Freak ˎˊ˗ 𝟤. Veks ˎˊ˗ 3. Sugar ˎˊ˗ 4. Gelwannt ˎˊ˗ 🌸Ꮪᴏlᴏ ᴀrᴛisᴛs 𝟣. Adi ˎˊ˗ 𝟤. Jang Rei ˎˊ˗ 𝟥. Kaiory ˎˊ˗ 💞Ꮲᴏrᴛ 𝟣. Rude ˎˊ˗ 🍓Ꮯᴏʍᴩᴀny 𝟣. Sun ent. ˎˊ˗ 🎀Ꭻᴏurnᴀlisᴛs 𝟣. Kayshi ˎˊ˗ ▭ׅ ▬ׄ ▭ׅ ▬…
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☺️нт͙е͟͟р͟͟а͟͟ӄт̶̶иʙ 👾 🎀🎀🎀🎀🎀🎀🎀🎀🎀🎀 ⸝⸝ ⌨ Как вы считаете, какой наряд бы больше подошел каждой участнице?࣪₊🌹 «Напишите свое мнение в комментариях. Участникам тоже можно» 👄 •𝗦𝗍𝗋ō𝗇𝗀𝗲𝗿, 𝗯𝗶𝗴𝗀𝖾𝗋, 𝖻𝖾𝗍𝗍𝖾𝗋 .➿.➿.➿.➿.➿.➿.➿. #sugar #interactive #outfit
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🌴sugar
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𝓝𝓮𝔀𝓼... .・。.・゜✭・.・✫・゜・。. — К сожалению, Каёла (прототип казухи) не вышла с нами на связь, поэтому к нам в основной состав присоединилась Реввикс •𝗦𝗍𝗋ō𝗇𝗀𝗲𝗿, 𝗯𝗶𝗴𝗀𝖾𝗋, 𝖻𝖾𝗍𝗍𝖾𝗋 #lesserafim #kazuha #sugar
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Мы поздравляем всех кто попал в набор, и просим связаться с нами в течении суток Писать: @liebeea или @ss2hl
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Кандидаты: те, кто прошли в финальный отбор 1. Афи 2. Лили 3. Реввикс 4. Тея Порядок не имеет значения
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Showing the 12 most recent of 17 posts we hold for @sugar_oii. 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.
Citation-graph rank — 1,279,627 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“@. 𝔖𝘂𝕘𝖺𝗿* #𝗫ᴾ 👾” (@sugar_oii), 39 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/sugar_oii.
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.