Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 24 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
6 measurements spanning 39 days, net +24. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 191–223 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 19:38
219
+14
9 Sept 2026, 05:14
205
+7
31 Aug 2026, 08:13
198
+1
16 Aug 2026, 18:24
197
+2
9 Aug 2026, 14:15
195
no change
8 Aug 2026, 14:31
195
first reading
Engagement
11 posts held, back to 28 May 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 11 posts for this entry, the most recent from 20 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 00s
Average length
1m 00s
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.
Reaction mix
257 reactions across 11 posts, in 15 distinct kinds. The most used accounts for 33.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
85
33.1%
❤🔥
67
26.1%
💘
31
12.1%
🔥
29
11.3%
⚡
10
3.89%
🥰
8
3.11%
🍾
6
2.33%
🎉
6
2.33%
🦄
6
2.33%
🍓
3
1.17%
🕊
2
0.778%
🌭
1
0.389%
🍌
1
0.389%
💅
1
0.389%
😭
1
0.389%
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 11 of the 11 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 257 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 28 May 2026 to 20 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.
Telegram Stars
Stars received
27
across the posts below
Posts paid on
7
of 11 we hold a reading for · 64%
Most on one post
18
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Charliss_Cos. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 11 most recent posts we hold for this entry, published 28 May 2026 to 20 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Лучше поздно чем никогда
Чтож, сегодня был мой день рождения и уже скоро подойдёт к концу.
Из хорошего, наконец-то исполнилась моя самая главная мечта и теперь я официально сменила имя.
Спасибо всем моим близким друзьям, таким как: Рейми Чан, Дикасу за всю поддержку и за то, что я остаюсь на плаву. А так же, отдельная благодарность моему лучшему сокосплееру Шин, с которой идём вместе, уже как год через этот сложны…
Осталось 5 дней до моего дня рождения. На самом деле это очень волнительно, но при этом столько новых дорог открывается.
Если получится, давайте добьем 200 подписчиков к этому времени, это будет лучший подарок.
У каждого человека есть тёмная сторона. Вот я допустим, закрываю детские гештальты и косплею забытый фэндом countryhumans вместе с Пруссией.
Можно сказать что это ещё молодой царь, вот придет мундир и будет по красоте.
#Russianimperia #Cosplay
в общем.
я абсолютно не был готов к данному дню, дефиле полностью было импровизировано, НО Я ПОЛУЧИЛ БЛМН СПЕЦПРИЗ от чарлиз
ЭТО ТИПО ВАЩЕ ОЧПНЬ КРУТО
я руки целовал я преисполнился
я рад, что мы великолепно попали в тайминг и уехали домой во время, были очень крутые ребята.
я счастливый иду отдыхать(настолько был занят веселухой, что даже фото не сделал лол))
а ещё мы привезли в орел борщ
#косплейинфо
А так же спасибо огромное моей подруге, что нарисовала вот такую открытку для спец приза.
Обязательно на неё подписываемся, у неё прекрасные арты.
https://t.me/shabaskinametnya
Огромное спасибо за сегодняшний день, мы прекрасно провели время!
Мне очень понравилось быть в роли спецгостя. Посмотрел абсолютно все дефиле, ребята огромные молодцы! Рад был встретиться практически со всем составом цирка, здорово, что сделали общее фото.
Так же спасибо огромное организаторам Тоши, всё прошло крайне круто!
Что касается моего выступления: пожалуйста, простите, если в кого-то чем-то попала. Принош…
Вчера влетели на волну хайпа и отсняли Моба и Верити.
Это было максимально внезапно и буквально косплеи из шкафа, чтобы разгрузиться от сложных образов.
(Война за фпс.. Зато ещё больше видео, можете посмотреть в моём ТТ @charliss_cos)
#Verity #Mob #Cosplay
🍀ГОСТЬ🍀
"Занимаюсь косплеем уже три года. Успела выступить на многих фестивалях, таких как - Toshi fest, АэроКон, Corgeek, YnO, Hokori Tori, Sakumi. Люблю делать необычные перформансы, с сюжетом или выстроенной линией повествования, чтобы обычный зритель тоже мог понять что это за персонаж. Ценю в выступлениях отыгрыш, уверенность и умение импровизировать.
Являюсь так же вигмейкером, уже как полгода практикуюсь в п…
Вот уже через 16 дней будет мой день рождения. Многие спрашивали, чтобы я хотела из подарков и собрала небольшой список, относительно не дорогих безделушек.
https://followish.io/mywishlist/gq2bn0uefpdo2v
12 числа наконец-то встретимся и может быть буду покорять сцену ❤️
#Pantalone #Cosplay
PH - Jolyne
Я твоя воля, я твой раб
Я свидетель пустоты
Я паду подле твоих ног
С какой угодно стороны
Ты - Бог богов
Ты - судный день
Ты - сопряжение миров
Ты носишь Имя, что отбрасывает Тень
PH - Jolyne
PE - Charliss
#Pantalone #Cosplay #Dottore
💘14❤🔥10🦄6❤1
Showing the 11 most recent of 11 posts we hold for @Charliss_Cos. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
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.
Mentions
Named by 2 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@Charliss_Cos named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@jolynegoffard named in 2 posts, 9 August 2026 – 9 August 2026 · confirmed gone 7 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Cite this entry
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Who is Charliss(!)” (@Charliss_Cos), 219 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/Charliss_Cos.
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.
