Channel
@sskyllia
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
22,486subscribers
+99 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003999017152 |
|---|---|
| Type | Channel |
| Username | @sskyllia |
| Created | Between 1 April 2026 and 28 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/sskyllia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 15:35 | 22,486 | +54 |
| 13 Aug 2026, 07:55 | 22,432 | -9 |
| 12 Aug 2026, 06:12 | 22,441 | +12 |
| 11 Aug 2026, 03:05 | 22,429 | -1 |
| 10 Aug 2026, 06:31 | 22,430 | +14 |
| 9 Aug 2026, 07:51 | 22,416 | +26 |
| 8 Aug 2026, 06:11 | 22,390 | +3 |
| 7 Aug 2026, 08:46 | 22,387 | first reading |
19 posts held, back to 28 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 19 pagesof 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 11 August 2026 |
|---|---|
| Posts held | 19 (28 July 2026 – 11 August 2026) |
| Views total | 350,000 |
| Reactions total | 42,908 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 05:12 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.
42,908 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 53.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5431901373258049329 | 22,971 | 53.5% | |
| custom 5317012153436229614 | 11,590 | 27.0% | |
| custom 5433686559234764616 | 5,987 | 14.0% | |
| custom 5303390080541411741 | 2,360 | 5.50% |
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 19 of the 19 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 42,908reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 28 July 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.
жизнь ощущается в разы приятнее, когда заходишь в магазин одежды, берешь понравившуюся вещь, примеряешь — и она идеально на тебе сидит; спасибо моим набранным килограммчикам 🤍
custom 54319013732580493292,050custom 5433686559234764616385
⠀⠀⠀⠀⠀⠀🩵· ⋆ · 🩵· ⋆ · 🩵 ⠀⠀⠀⠀⠀⠀следующая остановка ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Disneyland; чего Стéфан (мой брат) безумно ждал 😍 от Universal он уже в диком восторге был, я сама каждый раз покрываюсь мурашками в таких парках — хотя я уже, казалось бы, взрослый человек — а для ребенка это вообще отрада 🩵 больше всего его впечатлил атракцион в Хогвартсе — мы на него четыре раза сходили (😂) а уже завтра будем веселиться в диснее!
custom 54319013732580493291,830custom 5433686559234764616308
⠀⠀⠀⠀⠀⠀⠀🤍┈┈ 🩵┈┈ 🤍 ⠀⠀⠀⠀⠀⠀⠀это таааак вкусно мороженое с киви в хрустящей вафле — (можно добавлять разные фрукты, на втором фото вариации вафель) — 📍 Пекин, Китай ТЦ Xidan Joy City (верхний этаж с фудкортом)
custom 54319013732580493291,680custom 5433686559234764616238
если бы вы не знали, что это Китай, то что бы подумали? 😂
custom 54319013732580493292,030custom 5433686559234764616425
⠀⠀⠀⠀⠀⠀🪄· ⋆ · 🤍· ⋆ · 🪄 маленький волшебник зачислился на первый курс; ♡
custom 54319013732580493292,440custom 5433686559234764616520
Лето заканчивается быстрее, чем кажется 🥲 Небольшое напоминание, которое многие не хотят слышать: идеального момента начать готовиться к ОГЭ или ЕГЭ не будет. Чем раньше начнете, тем спокойнее будете чувствовать себя весной 🩵 Подписывайся на преподавателей Умскул, где они бесплатно делятся полезными материалами, которые помогут уверенно подойти к экзаменам👇 🔜11 класс: Русский язык, Математика, Математика (база), …
custom 5431901373258049329845custom 5433686559234764616153
«расскажи о том, что вы родные брат и сестра не говоря ни слова» аллен отошла на пять минут, а когда вернулась увидела такую спящую картину 😂
custom 54319013732580493292,130custom 5433686559234764616425
⠀⠀⠀⠀⠀⠀🤍🤍🤍🤍🤍🤍🤍 ⠀⠀⠀⠀вид из окна на Universal; что может быть прекраснее? поселились в отеле при Universal park, очень эстетичный, очень минималистичные номера, но самое приятное… ранний вход в парк для жителей отеля, то есть мы можем кататься на аттракционах, пока не запущена основная очередь, а она там огогого какая, люди с четырех утра стоят, лишь бы быть первыми 🥹 📍 Universal Grand Hotel, Пекин, Китай
custom 54336865592347646161,480custom 5431901373258049329696
⠀⠀⠀⠀⠀⠀🩵· ⋆ · 🤍· ⋆ · 🩵 ⠀⠀⠀⠀⠀какой сэм прекрасный; перед моим отъездом лежал рядышком — буду очень скучать по нему и Джеку! на две недельки везу младшего брата в отпуск 🩵
custom 54319013732580493292,100custom 5433686559234764616407
⠀⠀⠀⠀⠀⠀🩵· ⋆ · 🩵· ⋆ · 🩵 ⠀⠀⠀⠀⠀⠀новая стрижечка; думаю, это финальная длина, короче больше не хочется, но сейчас я очень довольна 🤍
custom 54319013732580493292,530custom 5433686559234764616544
ребятки, раз у нас сегодня день добрых дел… хочу рассказать вам о моем подопечном, куратором которого я являюсь уже год 🩵 я ежемесячно оплачиваю ему все нужды; посмотрите какой невероятный красавец… и он в приюте 😭 быть может найдутся те, кто хочет себе взрослого верного друга? я так верила, что его кто-то заберет, но пока безуспешно… если вы хотите забрать этого хвостика, то писать моему менеджеру: @aurorameneg…
custom 54319013732580493291,630custom 5433686559234764616289
😭😭😭😭😭😭😭😭😭😭 дорогие, спасибо за вашу доброту, кто переводил, напишите девушке, она вам вернет мое сердце разбито 🩵
custom 54319013732580493291,690custom 5433686559234764616585
Showing the 12 most recent of 19 posts we hold for @sskyllia. 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 — 173,184 of 1,339,933entries 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“i’m skylia 🪽” (@sskyllia), 22,486 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/sskyllia.
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.