Telegram RegisterThe public register of Telegram

Channel

﹫ › 𝐖𝐇𝐈𝐌𝐒𝐈𝐂𝐀𝐋 . .

@jennknyoc

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

101subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002612597925
TypeChannel
Username@jennknyoc
DescriptionENG | RU ✧ kny oc content ✧ oc × canon
Created22 May 2025measured — dated from the channel’s first post
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/jennknyoc

Growth

1018 Aug 2026, 10:46 — 101 subscribers9 Aug 2026, 10:17 — 101 subscribers8 Aug 2026, 10:469 Aug 2026, 10:17
2 measurements taken within a single day. 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 100–102 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 10:17101no change
8 Aug 2026, 10:46101first reading

Engagement

14 posts held, back to 22 May 2025the 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 · 30 days
109.2%
avg views ÷ 101 subscribers
Avg views / post
110
4 posts measured
Reaction rate
23.8%
reactions ÷ views · ER floor
Posts in window
4
of 14 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held14 (22 May 20257 August 2026)
Views total441
Reactions total105
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 10:17 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.

What this channel posts

Photos
13
Videos
1
Links
4

Lifetime counters from Telegram’s own channel header, read 9 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.

Video runtime
2s
Average length
2s

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.

Reaction mix

226 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 24.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53099165496356809985624.8%
custom 53099613847992810535122.6%
custom 53099768681563848423113.7%
custom 53484296201631411802812.4%
custom 53077403584262724592511.1%
custom 5307535432651678966229.73%
custom 530778248776047799462.65%
custom 530756724976940757841.77%
custom 530800115743042182231.33%

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 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 226reactions 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 22 May 2025 to 7 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.

Telegram Stars

Stars received
8
across the posts below
Posts paid on
2
of 13 we hold a reading for · 15%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jennknyoc. 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 14 most recent posts we hold for this entry, published 22 May 2025 to 7 August 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.

Recent posts

7 Aug 2026, 09:10 UTC39 views17 reactionsread 9 August 2026
Video

Мне так нравится тренд run rabbit run, но наверн я вряд-ли доделаю это

custom 53099165496356809988custom 53099613847992810535custom 53075354326516789663custom 53099768681563848421

29 Jul 2026, 21:03 UTC99 views32 reactions5 Starsread 9 August 2026
Photo

⎯ ゙ наверное могло быть и лучше, но я хочу спать. Утром подправлю ошибки 🤍🤍🤍🤍🤍🌟🤍🤍🤍🤍🤍 ⎯ ゙ Jenna in manga style! I love how the hair coloring came out. #JennaOC | #art

custom 530991654963568099815custom 53077403584262724596custom 53075354326516789665custom 53080011574304218222custom 53484296201631411802custom 53099613847992810531custom 53099768681563848421

25 Jul 2026, 10:46 UTC125 views25 reactionsread 9 August 2026
Photo

Немного фактов про возможности Дженны как демона . . 🥹🥹 ⎯ ゙ Дженна способна совершить одиночный прыжок в высоту до 20 - 25 метров (высота 7-этажного дома) и в длину до 50 метров без разбега. ⎯ ゙ Рык Дженны слышен в радиусе 3 - 4 километров. В замкнутых помещениях звук её рычания вызывает у людей резкую дезориентацию, боль в ушах и микроразрывы барабанных перепонок. ⎯ ゙ Дженне не доводилось менять свой возраст и

custom 530991654963568099812custom 53484296201631411807custom 53099768681563848425custom 53075354326516789661

17 Jul 2026, 11:05 UTC178 views31 reactionsread 9 August 2026
Photo

TW/CW: помощь ии с волосами для Дженны . . ⎯ ゙ видели уже новые иллюстрации с крем содой? Как вам? Уже рисуете? Я пока не планирую. 🖤 🤍🤍🤍🤍🤍🌟🤍🤍🤍🤍🤍 TW/CW: AI help with hair for Jenna . . ⎯ ゙ Gachapon with Jenna and Muzan + fusion with demons! I would buy this. 🖤 #JennaOC | #KibuJenn

custom 530996138479928105315custom 53484296201631411805custom 53075354326516789664custom 53099165496356809983custom 53077824877604779942custom 53077403584262724591custom 53099768681563848421

13 Jul 2026, 11:08 UTC193 views24 reactionsread 9 August 2026
Photo

TW/CW: ии-фон. ⎯ ゙ моя часть отдельно! нарисовала вчера вот такую малышку. Честно, мне не нравится, как я раскладываю тени на своих чиби и составляю пропорции. Надеюсь в дальнейшем я буду делать это более качественно. 🤍🤍🤍🤍🤍🌟🤍🤍🤍🤍🤍 TW/CW: ai background. ⎯ ゙ My part of the collab is separate! Yesterday I drew such a cute little one. Honestly, I don't like the way I place/apply shadows on my chibi pieces and how I hand

custom 530774035842627245912custom 53099165496356809987custom 53099768681563848424custom 53484296201631411801

13 Jul 2026, 11:08 UTC119 views16 reactionsread 9 August 2026
Forwarded from @zhasyazhPhoto

©️🔠🔠🔠🅰️🅱️ результаты моего коллаба с неко-демонятами! 🩵 - харуто 💙 - иошихиро 🩷 - дженна 💜 - айри 🧡 - фафа 💛 - зиаш ❤️ - мио 💚 - рёске огромное спасибо за участие💛💛 #kny #art

custom 53099165496356809987custom 53075354326516789663custom 53077824877604779943custom 53077403584262724591custom 53080011574304218221custom 53099768681563848421

11 Jul 2026, 11:10 UTC173 views28 reactionsread 9 August 2026
Photo

⎯ ゙ Арт с КибуДженн к одной из летних иллюстраций! (ору как всегда быстрее всех отрисовала). Мне не нравятся узоры на кимоно Дженны, но пока по-другому делать не умею :) Кр на фон - slayer's help. 🤍🤍🤍🤍🤍🌟🤍🤍🤍🤍🤍 ⎯ ゙ Art with KibuJenn for one of the summer illustrations! I don't like the patterns on Jenna's kimono, but I don't know how to do it any other way yet:) BG cr - slayer's help. #art | #JennaOC | #canonOC | #Ki

custom 534842962016314118012custom 53099613847992810536custom 53099768681563848426custom 53077403584262724593custom 53099165496356809981

3 Jul 2026, 17:22 UTC193 views29 reactions3 Starsread 9 August 2026
Photo

⎯ ゙ Привет, ребята! Я наконец-то обустроила этот канал так, как мне нравится. Большое спасибо всем, кто остался. Ещё раз, анализируя своих фп, я поняла, что старый характер Дженны не вписывается в мрачную атмосферу эпохи Тайсё. Поэтому, пересмотрев её бэкграунд, поправила кое-какие моменты в персонаже. Вот её готовый обновлённый референс. 🤍🤍🤍🤍🤍🌟🤍🤍🤍🤍🤍 ⎯ ゙ Okay, so I took another look at my oc and realized her previo

custom 530996138479928105315custom 53099768681563848426custom 53075354326516789665custom 53077403584262724591custom 53077824877604779941custom 53484296201631411801

3 Jul 2026, 17:20 UTC171 viewsread 9 August 2026

⎯ ゙под этим постом будут все арты с Дженной и Макото, которые у меня есть! Если что, весь флуд удаляется. 🥹

3 Jul 2026, 17:19 UTC197 views12 reactionsread 9 August 2026
Photo

// 𝐈𝐗𝐗𝐈. 😻😻𝐇𝐀𝐒𝐇𝐓𝐀𝐆𝐒! ⏝ 💘 ⏝ׅ ‌ ֹ #art | #sketch | #collab | #trade | #cmm | #gift | #biography | #shitpost | #modernAU | #Open_collab ⎯ ゙ 𝐇𝐀𝐒𝐇𝐓𝐀𝐆𝐒 𝐌𝐘 𝐎𝐂'𝐬 + дополнительно . . . ⎯ #JennaOC | 𝐃жᴇннᴀ 𝐊. #CatseroOC | 𝐊этсᴇᴘо 𝐊. #MakotoOC | 𝐌ᴀкото 𝐗. #otherOC | дᴘугие фп. #canonOC | кᴀнонный пᴇᴘсонᴀж. #adoptOC | пᴇᴘсонᴀж, который мнᴇ нᴇ нужᴇн и я его пᴘодᴀю/обмᴇнивᴀю. #infoOC | доп. информᴀция, котоᴘой могло нᴇ быть в с

custom 53099613847992810535custom 53099768681563848423custom 53099165496356809982custom 53075672497694075781custom 53077403584262724591

Showing the 12 most recent of 14 posts we hold for @jennknyoc. 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.

Citation-graph rank

Citation-graph rank — 683,558 of 1,340,412entries 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.

Forward network

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.

Mentions

Named by 6 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.

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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“﹫ › 𝐖𝐇𝐈𝐌𝐒𝐈𝐂𝐀𝐋 . .” (@jennknyoc), 101 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/jennknyoc.

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.