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Channel

中部班表

@jkmgh63

On this record: Growth · Engagement · Posts · Citations · Cite this entry

272subscribers

+150 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003986635283
TypeChannel
Username@jkmgh63
CreatedBetween 1 April 2026 and 2 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live29 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/jkmgh63

Growth

1222721977 August 2026 — 122 subscribers9 August 2026 — 122 subscribers15 August 2026 — 176 subscribers22 August 2026 — 208 subscribers29 August 2026 — 272 subscribers7 August 202629 August 2026
5 measurements spanning 22 days, net +150. 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 100–295 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 23:16272+64
22 Aug 2026, 16:05208+32
15 Aug 2026, 08:14176+54
9 Aug 2026, 03:30122no change
7 Aug 2026, 23:33122first reading

Engagement

8 posts held, back to 2 August 2026the 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
19.4%
avg views ÷ 272 subscribers
Avg views / post
52.9
8 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
8
of 8 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. It is computed over the 1 of 8 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held8 (2 August 20267 August 2026)
Views total423
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 03:30 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.

Recent posts

7 Aug 2026, 09:54 UTC35 viewsread 9 August 2026
Photo

🇹🇼校園大奶正妹 #甜美係 小洋➡️163m・48kg・E奶・22歲 天然奶 皮膚光滑白皙 身體柔軟 女友體驗敏感體質 🉑舌吻 69無刺青 🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍 ⭐gleezy預約:Xiaon52 🌐預約點擊: @xxn529 👍官網:www.kz258.com

7 Aug 2026, 09:54 UTC39 viewsread 9 August 2026
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🇹🇼網球少女 #清純大學生 米雪➡️163m・45kg・D奶・21歲 反差學妹在床上化身性感小野貓 緊緻的嫩穴包裹你 感覺一級棒👍 🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍 ⭐gleezy預約:Xiaon52 🌐預約點擊: @xxn529 👍官網:www.kz258.com

3 Aug 2026, 14:40 UTC75 viewsread 9 August 2026
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東海大學/妍妍 床上竟然這麼騷! 恩客說被榨乾惹~🥵 哈哈 超美的小鮑魚/可舔可吃喔~人間極品👍 恩客享受反饋:➡️鄰家女孩型 沒想到這麼騷,穴穴直接掰給我看讓我摸 視覺觸覺雙重享受,太爽了口技一百分 ⭐gleezy預約:Xiaon52 🌐預約點擊: @xxn529 一鍵解鎖全部優質頻道/群組/福利⭐ https://t.me/addlist/FJevrCWtuVUwMWZl

3 Aug 2026, 11:29 UTC64 viewsread 9 August 2026

小暖口碑品質茶坊🍵全頻道導航總覽 🇹🇼正妹篩選專區:@xiaon5 新手專區:@yyua520 精選學生專區:@heh4570 成熟女人專區:@yunwei66 北部班表:@beik529 中部班表:@jkmgh63 南部班表:@nankj52 高檔🎀 紅牌vip茶:@vv89ip 🐰小暖の碎碎唸【需審核】 https://t.me/+jUZmR2zqyxU2YjA1 為了讓大家更方便查看不同內容 已整理好各專區頻道 依需求點擊直接加入即可!

3 Aug 2026, 08:18 UTC62 viewsread 9 August 2026
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🇹🇼骨感纖細百貨櫃姐 #長腿御姐 桃依➡️164m・45kg・D奶・24歲 私下極度淫蕩,足交技術一流 又會踩又會夾,服務又騷又專業 🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍 ⭐gleezy預約:Xiaon52 🌐預約點擊: @xxn529 👍官網:www.kz258.com

2 Aug 2026, 11:30 UTC55 viewsread 9 August 2026
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🇹🇼黑絲長腿香水櫃姐 #cp值很高 艾青➡️165m・48kg・D奶・24歲 氣質大長腿 小穴微粉很會夾 無套口 牛奶肌 平日有在練瑜伽 🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍 ⭐gleezy預約:Xiaon52 🌐預約點擊: @xxn529 👍官網:www.kz258.com

2 Aug 2026, 11:30 UTC54 viewsread 9 August 2026
Photo

🇹🇼清純骨感小隻馬 #牙醫助理 婉愉➡️160m・43kg・C奶・22歲 會自己準備衣服 邀請你角色扮演 床上特別淫蕩 把最騷最色的展現給你 🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍🤍 ⭐gleezy預約:Xiaon52 🌐預約點擊: @xxn529 👍官網:www.kz258.com

Showing the 8 most recent of 8 posts we hold for @jkmgh63. 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

Citation-graph rank — 53,962 of 1,626,935entries 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.

Mentions

Named by 7 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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“中部班表” (@jkmgh63), 272 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/jkmgh63.

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.