Channel
@cafesekaii
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
79subscribers
+4 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003970571817 |
|---|---|
| Type | Channel |
| Username | @cafesekaii |
| Created | Between 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/cafesekaii |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:24 | 79 | +3 |
| 9 Aug 2026, 21:02 | 76 | no change |
| 8 Aug 2026, 16:06 | 76 | +1 |
| 8 Aug 2026, 07:46 | 75 | first reading |
20 posts held, back to 4 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 1 pageof 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 9 August 2026 |
|---|---|
| Posts held | 20 (4 August 2026 – 9 August 2026) |
| Views total | 354 |
| Reactions total | 21 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 21:02 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 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.
21 reactions across 20 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 100.0% |
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 21reactions 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 4 August 2026 to 9 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.
Сейчас бы дома лежать, а не это все…➖ Йо! Сложно жить, когда в мире так много этих... голубков? Тогда, может, мы найдем общий язык.➖➖ → @Sora_ROCK
❤1
Signed 𝖪𝖺𝖽𝗒𝗋𝗓𝗁𝖺𝗇 𝖣
🤩 что может быть странного в мире Секая ?🤩 всего лишь нужно . . ⭐️ 👻👻👻👻👻 🔡ake up before anything bad 🔡ill happen . 🪧🤩🤩 всё не так просто , как ты думаешь . 🥹🥹 🤩🙂Или продолжишь создавать историю в своей голове ?🥹🥹 ❌❌🔡ou don't get it , do you? 🤩 Wake up🥹🥹PSBSSO 🤩🤩🤩🤩🤩🤩
❤1
Signed 𝖪𝖺𝖽𝗒𝗋𝗓𝗁𝖺𝗇 𝖣
🍼❤️🍼 хочется снова посмотреть на то время , когда много говорили о событиях , произошедших во время обучения в средней школе у персонажей из секая ? 🤩🤩 🤩 🤍 🍼🍼🤩🤩 🤩 🍭🍼🍼 🤩🤩🤩 🤩может быть, у вас есть хэдканоны на этот период, но не знаете, где с ними можно поделиться/как-то реализовать ? 🩷🤩 🤍 🔎 ⚫️у , или у вас просто есть желание понаблюдать за всем этим ? 🍼 🍼🍼 ㅤ𝐭hen . . 🤩🤩 🌟🌟I invite 𝒖 tᨵׁׅ a madꬻׂׅess miժׁׅ݊dle! …
❤1
Signed 𝖪𝖺𝖽𝗒𝗋𝗓𝗁𝖺𝗇 𝖣
🎀➖🎀🕷🤩➖🎀🕷 🤩 ✨𝗓𝗓𝖹 🎀🕷enti 🎀 🕷dol? ੭🎀 🎀💋🥹baby.. baby.. 🎀 <3 スウ . .🎁 современная вселенная, где Венти является айдолом? « « 𝙘𝙪𝙩𝙚 🎀🍭 ((🎈)) хочется посмотреть, что происходит за кулисами красивой картинки? 🎀 . 🎈˕ ִׄ 𝗈𝗆𝗴 . .? 🎀🐈⬛
❤1
Signed .𝓿𝖺𝗒𝗇𝖾 ݁𝐩𝗋𝗂𝖼𝖾 ♡゙
да поймайте уже этого пациента! 🩸 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 ахх.. похоже это очень страшно место не так ли? многие назвали это место ад в больнице.. стоп.. может имели в виду THE HELL IN THE HOSPITAL! а точнее в крации thith 🌟 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 смогут ли наши врачи и медсестры выбраться с того ужасного место, но одновременно не сойти с ума . . . ? смогут ли они спастись с того ада . . . ? 💠💠💠💠🤩🤩🤩🤩🤩 идею на сюжет сетки от @SeishinnoOri . .
❤2
Signed 𝖪𝖺𝖽𝗒𝗋𝗓𝗁𝖺𝗇 𝖣
࣪ 🌟 𓈒 𝐖𝐀𝐈𝐓 𝐖𝐀𝐈𝐓ㅤ𖫲ㅤ 🎁 . 💓 ︶⏝ㅤִ😻💋 𝐼𝒯 𝐼𝒮. . ֺᅠ𝅥𝄀 𓈒 ࣪🐈⬛ t.me/yandereseka ! ﹚﹚ ࣪ 𓈒ִ ⏝︶⏝ 🎀 𝑪етка связанная с ау яндере ! попробуйте себя в роли одержимого персонажа 🎁 или обычным учеником ! ⏜݄͡ㅤ 𝑾𝒽𝒶𝓉 𝒾𝓈 𝓁𝑜𝒗𝑒 ? 🦋 ׅ ⎯ ֺ ㅤ ㅤׄ 🤩 𝑵𝒜𝒱𝐼𝒢𝒜𝒯𝐼𝒪𝑵 🔮 ᨦ 𝒂дмины 🎀 ִ 𝒄южет ׄ ᨩ 🔮 кл𝒂ссы 🎀 папка 𝒚ченики ❣️ правила . ⎯ ֺ шаблон дл…
❤1
Signed ૮꒰◞ ˕ ◟ ྀི꒱ა 𝘾𝙝𝙚𝙬𝙬𝙮𝙨𝙨 (ⲙᥴκ+4) 𓏲ּ𝄢
🤩Ⲡⲣυⲃⲉⲧ, υⳃⲉⲱь ⲕⲫ ⲡⲟ Ⲥⲧⲣⲁⲏⲩ ⲥⲁⲙⲟцⲃⲉⲧⲟⲃ??? Ⲧⲟⲅⲇⲁ ⲇⲟⳝⲣⲟ ⲡⲟⲯⲁⲗⲟⲃⲁⲧь ⲃ 🌌🌌🌌 🌌🌌🥹 Ⳅⲇⲉⲥь ⲃы ⲏⲁύⲇёⲧⲉ ⲕⲟⲏⲧⲉⲏⲧ ⲡⲟ ⲥⲧⲣⲁⲏⲩ ⲥⲁⲙⲟцⲃⲉⲧⲟⲃ✈️🔍 🤩🤩 𝗡𝗔𝗩𝗜𝗚𝗔𝗧𝗜𝗢𝗡、𝗠𝗣-𝗣𝗢𝗦𝗧 (+𝟬)
❤1
Signed 𝖪𝖺𝖽𝗒𝗋𝗓𝗁𝖺𝗇 𝖣
𝐖𝐞𝐥𝐜𝟎𝐦𝐞 𝐭𝐨𝐨 . . . ∘₊✧──────✧₊ 🎁 🌟🌟🌟 / 🌟🌟🌟🌟 🔇 🌟 🌟 ( 𝐥𝐞𝐨 / 𝐧𝐞𝐞𝐝 𝐜𝐟 ) 🌟 🌟 🌩🌩🌩😇😀😖😘🤬🤌🤌🤌😀😖 🎁 𝐥𝐞𝐨/𝐧𝐞𝐞𝐝 — 𝐀 𝐛𝐚𝐧𝐝 𝐟𝐨𝐫𝐦𝐞𝐝 𝐛𝐲 𝐚 𝐠𝐫𝐨𝐮𝐩 𝐨𝐟 𝐜𝐡𝐢𝐥𝐝𝐡𝐨𝐨𝐝 𝐟𝐫𝐢𝐞𝐧𝐝𝐬 𝐰𝐡𝐨 𝐡𝐚𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝 𝐭𝐨 𝐨𝐯𝐞𝐫𝐜𝐨𝐦𝐞 𝐭𝐡𝐞𝐢𝐫 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬. 🎁 🔡десь вы можете поделиться артами , хедами и другим любым творчеством и информацией о участницах этого юнита ᰔ •──────✧НАВИГАЦИЯ✧──────•
❤1
Signed 𝖪𝖺𝖽𝗒𝗋𝗓𝗁𝖺𝗇 𝖣
АДМИН НАБОР!! 🧛♀️Добро пожаловать в канал по фильмам/сериалам с жанрами хоррор/триллер. 🌟🌟🌟🌟🌟🌟🌟🌟🌟 Здесь вы можете: — Опубликовать своё творчество. — Написать мнение о фильме/сериале. — Спросить или рассказать про фильм/сериал. Также тут просто публикуют всякие арты/видео из разных соцсетей администрация, так что без контента тут вы не останетесь. (Ежедневно) • Навигация по каналу Хэштеги (их можно использовать …
❤1
Signed 𝖪𝖺𝖽𝗒𝗋𝗓𝗁𝖺𝗇 𝖣
🤩 🤩 люблю . . . 🤩🤩 искали канал, где можно выразить свою любовь к чему-либо в секай сетки км? хотели бы высказать своё мнение о том или ином саппорте в хорошем ключе? чтож, тогда вам сюда! 🤩🤩ой вердикт: в сскм я люблю ТЕБЯ! 🤩
❤1
Signed Юра фритюрная головушка
🎁🎀 shׄ𝕚ִ𝕫ִບׄƙִׄ𐐼ׄsׄ𑜅 d𐐼ׄ𝕚ִℓִυᩛ ﹕ 😽 🎀🎀🤩🎀🌟🌟 🌟🌟 ‼️🎀🎀ʙᥲⲙ ׄн︩︪ꫀׄ хִׄⲃׄат𐐼︩︪ꫀִׄт ӄִׄ𑄜ִнⲧִꫀׄнⲧִαׄ с 𐓣︩︪ׄꫀׄйρִִׄບׄнгִꪮִⲙִׄ 😻ᤐֹບׄᤋִуӄִׄαׄᧃׄ𐐼🤩? ? ᥊ׄ𑄜ִⲧִиⲧִꫀׄ ᧘ׄюδִׄꪮִׄʙִαׄⲧִьɕׄяׄ ꫀׄжִׄꫀׄднꫀׄʙִным ӄִׄ𑄜ִнⲧִꫀׄнⲧִ𑄜ִᨻ с нִບִׄⲙִִׄບׄ ? ?🎀🥹💧🌟 🥹🤩ⲧִ𑄜ִгдαׄ ʙᥲⲙ ִׄ𐓣ׄρִׄяִⲙִִׄບׄӄִִׄꪮִⲙִׄ ִׄⲃ нׄ𐐼ᤐֹ к𐐼нׄаꪒִ !🎀🍭
❤1
Signed .𝓿𝖺𝗒𝗇𝖾 ݁𝐩𝗋𝗂𝖼𝖾 ♡゙
⏜︵﹙💘﹚︶😀😁😂🤣 ︶﹙💘﹚ ︵💘 .﹙💘﹚: 😃😄😅😆 :﹙💘﹚. 💘 ⏝︶﹙💘﹚: нравятся сладкие эмусаки? в поиске контента по ним? тогда тебе к нам! :﹙💘﹚︶⏝ 💘 💘💘💘 ︵ вп пост | буст :﹙💘﹚ 💘💘💘 ⏜ администрация | бот 💘💘💘 доска почета | теги :﹙💘﹚
❤1
Signed Юра фритюрная головушка
Showing the 12 most recent of 20 posts we hold for @cafesekaii. 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 — 25,715 of 1,480,944entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 32 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“𝓒𝑎𝑓𝑒 𝑆𝑒𝑘𝑎𝑖 𐔌☕ 𐦯 - 𝑛𝑒𝑡” (@cafesekaii), 79 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/cafesekaii.
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.