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Channel

中日越俄乌泰佳丽服務到家

@bkklisa

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

2,497subscribers

+66 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001132287936
TypeChannel
Username@bkklisa
CreatedBetween 1 June 2017 and 31 October 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/bkklisa

Growth

2,4312,4972,4647 August 2026 — 2,431 subscribers7 August 2026 — 2,431 subscribers7 August 2026 — 2,434 subscribers11 August 2026 — 2,440 subscribers14 August 2026 — 2,453 subscribers17 August 2026 — 2,462 subscribers20 August 2026 — 2,470 subscribers24 August 2026 — 2,497 subscribers7 August 202624 August 2026
8 measurements spanning 17 days, net +66. 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 2,421–2,507 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 18:132,497+27
20 Aug 2026, 19:562,470+8
17 Aug 2026, 19:332,462+9
14 Aug 2026, 14:562,453+13
11 Aug 2026, 01:192,440+6
7 Aug 2026, 22:522,434+3
7 Aug 2026, 18:472,431no change
7 Aug 2026, 18:342,431first reading

Engagement

4 posts held, back to 7 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
3.04%
avg views ÷ 2,497 subscribers
Avg views / post
76.0
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 4 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 held4 (7 August 20267 August 2026)
Views total304
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:47 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, 13:54 UTC74 viewsread 7 August 2026
Photo

泰国Bangkok 🇹🇭🇨🇳S 晨曦 99 172 C晨曦 车模 筷子腿 皮肤雪白 性格开朗 °职业模特、秀导 捷豹 路虎签约车模 *上海国际车展大众表演模特 北京国际服装周 MR仁 服装表演模特 • ◎前凸后翘 气质大长腿 待客如男友 温柔随和 超温柔 零差评投诉 日常兼职Model兼礼仪小姐 📱有需要请联系客服:@lisa_ons 📱双向联系机器人:@lisa_ons_bot ✨✨🫧🫧🫧 #中国女孩 #中国极品 #曼谷外围

Signed 💕Lisa💕泰国留学生上门修车[唯一账号@lisa_ons已经有模仿我了,认准id只有7个字母]

7 Aug 2026, 13:03 UTC71 viewsread 7 August 2026
Photo

#泰国Bangkok 🇹🇭 中国🇨🇳S Ali 温柔气质女友 大一实习 纯天然无整容 干净而纯粹的白·简单又纯净的美 There is more to come. ·Age年龄: 08年 ·Weight体重:50kg ·Height身高: 裸172cm ·Bust胸围: C-cup 真胸无整 就读于武汉 师范大学 A4腰·纤长细腿·黄金比例温柔·清纯·高级·气质温婉 You are my today and all of my tomorrows. 一个心中有梦 眼里有光的女孩 📱有需要请联系客服:@lisa_ons 📱双向联系机器人:@lisa_ons_bot ✨✨🫧🫧🫧 #中国女孩 #中国极品 #曼谷外围

Signed 💕Lisa💕泰国留学生上门修车[唯一账号@lisa_ons已经有模仿我了,认准id只有7个字母]

7 Aug 2026, 12:29 UTC68 viewsread 7 August 2026
Photo

𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥️ | 希希 曼谷初遇 气质御姐 皮肤超白 细腻光滑 口技极佳 水多敏感 陪伴沐浴 69玩具 解锁多姿势 多技巧 满分服务型女友 ♡ ♥️ の年龄- 01 の身高- 168 の胸围- 34C(真胸) の体重- 45KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥️ 聽說緣分會把我帶到妳身邊 ♥️ 📱有需要请联系客服:@lisa_ons 📱双向联系机器人:@lisa_ons_bot ✨✨🫧🫧🫧 #中国女孩 #中国极品 #曼谷外围

Signed 💕Lisa💕泰国留学生上门修车[唯一账号@lisa_ons已经有模仿我了,认准id只有7个字母]

7 Aug 2026, 10:46 UTC91 viewsread 7 August 2026
Photo

𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥️ | 糯米 曼谷最新落地贵州软妹 皮肤雪白 光滑细腻紧致 说话温柔贤淑主动待客 热情奔放 配合度极高 第一次下水 肤白貌美腿长 极品中的极品 可纯可欲可性感 我能抵抗所有诱惑 直到它们被我所诱惑 性感尤物 最懂你的首选 ♡ ♥️ の年龄- 02 の身高- 168 の胸围- 36C(真胸) の体重- 47KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥️ 聽說緣分會把我帶到妳身邊 ♥️ 📱有需要请联系客服:@lisa_ons 📱双向联系机器人:@lisa_ons_bot ✨✨🫧🫧🫧 #中国女孩 #中国极品 #曼谷外围

Signed ❤️ 丽莎❤️ 泰国留学生修车 [唯一账号 @ons_bkk 已经有模仿的了,认准id只有6个字母]

Showing the 4 most recent of 4 posts we hold for @bkklisa. 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 — 928,816 of 1,620,455entries 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 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.

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

“中日越俄乌泰佳丽服務到家” (@bkklisa), 2,497 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/bkklisa.

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.