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Channel

嗨皮快乐屋全国外围

@kldhpwlllll

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

12,554subscribers

-56 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001701893818
TypeChannel
Username@kldhpwlllll
Description全国外围,见面满意付款,孕妇、处女、全能、SM、母女、学生、05后、洋酒、双胞胎、包养,等.....全国可安排
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/kldhpwlllll

Growth

12,55412,61012,5827 August 2026 — 12,610 subscribers7 August 2026 — 12,610 subscribers7 August 2026 — 12,608 subscribers8 August 2026 — 12,593 subscribers9 August 2026 — 12,584 subscribers10 August 2026 — 12,579 subscribers11 August 2026 — 12,572 subscribers12 August 2026 — 12,565 subscribers13 August 2026 — 12,561 subscribers14 August 2026 — 12,554 subscribers7 August 202614 August 2026
10 measurements spanning 7 days, net -56. 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 12,546–12,618 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:4712,554-7
13 Aug 2026, 16:0512,561-4
12 Aug 2026, 14:5512,565-7
11 Aug 2026, 14:1212,572-7
10 Aug 2026, 16:1612,579-5
9 Aug 2026, 15:3312,584-9
8 Aug 2026, 18:0312,593-15
7 Aug 2026, 19:2512,608-2
7 Aug 2026, 16:0012,610no change
7 Aug 2026, 15:5312,610first reading

Engagement

25 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.446%
avg views ÷ 12,554 subscribers
Avg views / post
56.0
25 posts measured
Reaction rate
0.662%
reactions ÷ views · ER floor
Posts in window
25
of 25 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 25 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 15 August 2026
Posts held25 (7 August 202615 August 2026)
Views total1,400
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 12:45 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
379,000
Videos
130,000
Links
244

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
3m 05s
Average length
7s

Measured directly from 25 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 25 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 7 August 2026 to 15 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.

Recent posts

15 Aug 2026, 02:54 UTC59 viewsread 15 August 2026
Photo

苏州蓝猫🏠 #鲁 • 𝐇𝐞𝐢𝐠𝐡𝐭身高/176 • 𝐖𝐞𝐢𝐠𝐡𝐭/52kg • 𝐁𝐮𝐬𝐭🐻 /G(纯天然) 乳交,69,角色扮演, 情趣,🐍吻,丝足诱惑 ❣️身材前凸后翘 欲求不满 ❣️ 水多且紧活好好 会吸会夹 偶尔潮喷。 ❣️会撒娇 做你的初恋小女友 ❣️敏感体质易湿会吸娇喘 外萌内骚 主动配合度100%自动摇摇机 榨汁机 🍹 👉 完美腰臀比👈 👉极品大长腿 👈 👉风骚小狐貍👈 👉高素质 👈 👉高学历👈👉 情商高👈 👉妩媚动人👈 👉配合度高👈 👉 穴肥水多👈 👉只接待素质课 👈

15 Aug 2026, 02:54 UTC41 viewsread 15 August 2026
Photo

苏州蓝猫🏠 #运 首次 海学生极品高白纯幼 纯新人刚下海挣学费 Age:真实07年 Height:172 Cheat:真 D Weight:46 所见即所得 女友感 甜美可人 , 外纯内骚反差

15 Aug 2026, 02:54 UTC29 viewsread 15 August 2026
Photo

苏州蓝猫🏠 #慕 💫纯欲171大e 🏠純欲天花板 兼职 🎬•圈外女友171 🐻e ·常年瑜伽 身体柔软 气质高挑 🌈💖ིྀ💛ིྀ💙ིྀ💜ིྀ💚ིྀ🧡ིྀ 真🐻细腰 细腿美乳双杀 性格温柔 迷情投入 粉嫩桃穴 🙆🏻‍♀️ 极度敏感易湿 洋气少女|性感甜美|风格多变 沉浸式体验角色扮演 极致体验 粉嫩甜心 白嫩誘人呼之欲出 清純少女 🎀 气质千金|飽滿傲人 纯天然雪白巨乳大H 少女漫画身材 の特長 - 舞蹈 音樂 の愛好 - 美妝 健身 马术 画画 性格热情聲音溫柔 洋气纯欲系精致

14 Aug 2026, 04:28 UTC90 viewsread 15 August 2026
Photo

#杭州 张艺兴🎒BJ173C #思 Bust: 🐻34C Height: 173 Weight: 92kg Date of birth:04年 真实艺校在校 短期兼职 ♎️天秤座 爱笑的甜美女孩 温柔迷人优雅 🧚‍♀️热爱健身 天然美🐻 腰细🍑臀 无敌长腿 真实女友感 情人体验 错过即是罪过 🉑舌吻 #萧山区 #硬5

14 Aug 2026, 04:28 UTC68 viewsread 15 August 2026
Photo

#杭州 张艺兴🎒XS165D #悠 bxc 165D 02年 雪白牛奶肌 Height身高/168 Weight体重/96 Bust胸围/D 🉑六九 舌吻 #萧山区

14 Aug 2026, 04:28 UTC40 viewsread 15 August 2026
Photo

#杭州 张艺兴🎒XS170C #香 杭州 萧山 04 学生 幼师大学生可甜可纯可御🔥纯天然 身高170cm 体重85斤🐻C A4腰 性格活泼可爱大方开朗态度好满分💯女友配合度高只接高端素质🉑 #萧山区

13 Aug 2026, 01:22 UTC21 viewsread 13 August 2026
Photo

#济南 #儒风🏠 首开超级清纯美少女🌈 *:..゙((ε(*´・ω・)っ†*゚¨゚゚・*:..☆ 刚下水 身高166通体❄白 粉← 超模身材 体制柔软 黄金身材比列 细腰** 芭比五官 天然🐻c性格温柔 声音动听 笑起来很甜超治愈超级可爱 照片与本人无差 服务超级配合 解锁🔓各款新姿势 Av体验 娇艳欲滴的眼神 让你内心荡漾 为之倾倒

13 Aug 2026, 01:22 UTC18 viewsread 13 August 2026
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#济南 #儒风🏠新人 🎀纯中带欲 甜中带辣 纯天然0整 🎀身高168 0@ 45kg 真实兼职 天然乳🐻C.三点粉嫩 🉑纯🉑欲 🎀前入大胸 后入超大屁屁 细腰翘臀 绝佳视觉享受 🎀双手掌握🍑活好粘人 水多不粘手 🎀情趣制服 女友般体验 只接待素质援助 🎀敏感体质易湿会吸娇喘 主动配合100% 自动摇摇机 榨汁机 🍹 🎀 待哥哥如初恋般热情主动和哥哥索吻💋 🎀主动口 主动求干爱爱叫声超甜🥰 🌹🌹🌹您的小奶牛女孩👧

13 Aug 2026, 01:22 UTC10 viewsread 13 August 2026
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#济南 #儒风🏠 首开超级美少女🌈 刚下水 身高172通体❄白 粉← 超模身材 体制柔软 黄金身材比列 细腰翘臀 芭比五官 天然🐻c性格温柔 声音动听 笑起来很甜超治愈超级可爱 照片与本人无差 🌸🌸🌸 服务超级配合 解锁🔓各款新姿势 Av体验 娇艳欲滴的眼神 让你内心荡漾 为之倾倒 就是恋爱的感觉呀 快来领取甜甜的热恋

13 Aug 2026, 01:22 UTC6 viewsread 13 August 2026
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#济南 #儒风🏠 混血小网红🎬性格溫柔 2003 ▪️170cm ▪️50kg▪️🐻E (圈外女友感) 🉑🐍吻,69,情趣丝袜…. 🌟前凸后翘 性格特好 谈吐得体 您的最佳女友 🌟情商在线高学历高素质 🌟期待与哥哥们心肾相交,初次下海,给你完全 不一样的感觉。

12 Aug 2026, 06:45 UTC39 viewsread 12 August 2026
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周生辰🏠 千与 国企少妇硬5w⬆️ 国企在职(纯兼职) 175-49kg-真🐻D 成熟气质御姐 端庄温婉大方得体 可遇而不可求 雪白奶油肌肤 大长腿,马甲线 兼职平面腿模,脚模 因本人日常工作需求 仅接受当天提前1小时预定 介意勿扰 #北京 #朝阳区 #硬五 #少妇

12 Aug 2026, 06:45 UTC32 viewsread 12 August 2026
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周生辰🏠 青瑶 网红御姐🦜全身无整 高瘦(喜胖勿扰)无纹身 苏州人年龄22身高170cm,体重44kg胸围C+ 刚解锁“下水”新体验~可验 无整容,皮肤状态在线,能hold住原相机;穿衣自带恰到好处的曲线感~给哥哥女友的体验。 性格属于“好相处体质”,不扭捏不社恐,和人相处主打一个轻松自在,不管是一起唠日常还是解锁新事物,都能搭得上节奏 低素质勿扰🖕🏻 #北京 #朝阳区 #硬五 #御姐 #蛇纹 #无纹身 #六九

Showing the 12 most recent of 25 posts we hold for @kldhpwlllll. 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 — 1,467,414 of 1,481,217entries 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 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.

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

“嗨皮快乐屋全国外围” (@kldhpwlllll), 12,554 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/kldhpwlllll.

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.