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Channel

福州白乐门

@laoqv

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

28,879subscribers

-4,912 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1002609440815
TypeChannel
Username@laoqv
Description我本是各大名车的老总, 却被诡计多端的奸人所害冒充我! 核对本群管理名称的每一个字母和数字! 关注下方链接,听我讲述复仇计划! 【修车老总】 @jiaoyou888bot 【修车频道】 https://t.me/laoqv 【修车老群】https://t.me/jibaosiqj 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live7 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/laoqv

Topic

Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 the other topics.

Growth

27,81833,79130,804.512 August 2026 — 33,791 subscribers12 August 2026 — 33,791 subscribers13 August 2026 — 33,610 subscribers14 August 2026 — 32,926 subscribers16 August 2026 — 31,597 subscribers17 August 2026 — 31,545 subscribers18 August 2026 — 31,350 subscribers19 August 2026 — 31,343 subscribers20 August 2026 — 31,310 subscribers22 August 2026 — 30,710 subscribers24 August 2026 — 29,948 subscribers25 August 2026 — 29,801 subscribers26 August 2026 — 29,581 subscribers27 August 2026 — 29,343 subscribers28 August 2026 — 29,127 subscribers29 August 2026 — 28,849 subscribers30 August 2026 — 30,619 subscribers31 August 2026 — 30,674 subscribers1 September 2026 — 30,628 subscribers2 September 2026 — 30,434 subscribers3 September 2026 — 30,272 subscribers6 September 2026 — 30,330 subscribers9 September 2026 — 30,333 subscribers11 September 2026 — 30,107 subscribers13 September 2026 — 29,472 subscribers15 September 2026 — 29,199 subscribers16 September 2026 — 28,802 subscribers19 September 2026 — 27,818 subscribers26 September 2026 — 31,839 subscribers4 October 2026 — 31,188 subscribers9 October 2026 — 30,416 subscribers13 October 2026 — 30,094 subscribers14 October 2026 — 29,889 subscribers15 October 2026 — 29,728 subscribers16 October 2026 — 29,617 subscribers17 October 2026 — 29,507 subscribers18 October 2026 — 29,570 subscribers19 October 2026 — 29,500 subscribers20 October 2026 — 29,461 subscribers21 October 2026 — 29,432 subscribers22 October 2026 — 29,302 subscribers23 October 2026 — 29,176 subscribers24 October 2026 — 29,003 subscribers25 October 2026 — 28,927 subscribers26 October 2026 — 30,638 subscribers27 October 2026 — 30,513 subscribers29 October 2026 — 30,250 subscribers30 October 2026 — 30,027 subscribers31 October 2026 — 29,785 subscribers1 November 2026 — 29,631 subscribers2 November 2026 — 29,506 subscribers3 November 2026 — 29,513 subscribers4 November 2026 — 29,373 subscribers5 November 2026 — 29,203 subscribers6 November 2026 — 29,075 subscribers7 November 2026 — 28,879 subscribers28,87912 August 20267 November 2026
56 measurements spanning 86 days, net -4,912. 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 26,922–34,687 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
7 Nov 2026, 08:1128,879-196
6 Nov 2026, 09:1829,075-128
5 Nov 2026, 11:3629,203-170
4 Nov 2026, 10:4729,373-140
3 Nov 2026, 08:0929,513+7
2 Nov 2026, 07:0129,506-125
1 Nov 2026, 10:1629,631-154
31 Oct 2026, 08:1129,785-242
30 Oct 2026, 04:5030,027-223
29 Oct 2026, 04:4030,250-263
27 Oct 2026, 23:3130,513-125
26 Oct 2026, 20:5430,638+1,711
25 Oct 2026, 20:2028,927-76
24 Oct 2026, 20:5029,003-173
23 Oct 2026, 20:1929,176-126
22 Oct 2026, 18:1729,302-130
21 Oct 2026, 17:1829,432-29
20 Oct 2026, 16:1629,461-39
19 Oct 2026, 14:2729,500-70
18 Oct 2026, 11:3729,570first reading

Engagement

62 posts held, back to 2 August 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 144 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.73%
avg views ÷ 28,879 subscribers
Avg views / post
1,940
24 posts measured
Reaction rate
0.069%
reactions ÷ views · ER floor
Posts in window
24
of 62 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 14 of 24 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 6 November 2026
Posts held62 (2 August 2026 – 6 November 2026)
Views total46,632
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 12:05 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
791
Videos
97
Links
78

Lifetime counters from Telegram’s own channel header, read 7 November 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
4m 11s
Average length
12s

Measured directly from 21 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

67 reactions across 34 posts, in 2 distinct kinds. The most used accounts for 89.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6089.6%
👍710.4%

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 40 of the 62 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 62 most recent posts we hold, published 2 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 2 of 24 posts held from the last 30 days (8.33%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 16:26 UTC136 viewsread 7 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_1365480527

6 Nov 2026, 15:00 UTC385 viewsread 7 November 2026
Photo

🟡昵称: 福州小勤 🕐地区:#福州市晋安区 🤖加微信gggg78978 ☎️13015723635, QQ3846973337 🚀电报:@xiaoqin9999 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 世间千种万般的漂亮模板,都不及你真实的模样,你的独特,是再多修饰与模仿都没有办法复制得来。 #老师狼友请看下方评论区⬇️

5 Nov 2026, 07:59 UTC745 viewsread 7 November 2026
Photo

圈界NO.1 🟡昵称:#秋妍 🕐地区:#福州晋安区 🤖联系电话13635220328 Q1840087418 薇 WER166186 🚀电报:@ws16998 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 月色洒落在你的身上,清辉勾勒柔和轮廓,褪去白日喧嚣,夜色之中的你,安静温婉,美得如梦似幻一般。 🔰#点击下方查看详情⬇️

5 Nov 2026, 05:22 UTC746 viewsread 7 November 2026
Photo

圈界NO.1 🟡昵称:瑶瑶 🕐地区:#晋安 🤖双向:@yaoyaobaibei884Bot 🚀电报:@yaoyaobaobei885 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 很多人追求模板化的漂亮,而你拥有专属于自己的辨识度,一眼就能记住,这才是最为难得的美丽。 🔰#点击下方查看详情⬇️

3 Nov 2026, 08:19 UTC≈1,360 views2 reactionsread 7 November 2026
Photo

全国林妹高端外围【大⭕️圈】 #定金预约 本群已担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 学妹 御姐等高素质高颜值🉑上门 🈶教室 ✡️奢华的环境、全套服务、至尊享受、帝王体验 没有玩过大圈的建议先点下方频道查看规则 ♏️双向客服林妹: @wai998bot ♒️总频道: 频道点击浏览👀 #本群推荐信誉客服 24小时接待联系即可

❤2

2 Nov 2026, 13:27 UTC≈2,860 views3 reactionsread 7 November 2026
Photo

位置:#晋安区 花名:#福州婉贵人 私聊:@ss666188 ✅加微信.acf168198 Q Q.948459576。 双向机器人 @sss168198bot 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 就算隔着一段距离远远观望,也可以感受到你身上散发出的美好气场,不需要靠近,就能感受到你的光彩。 🔰#点击下方查看详情⬇️

❤2👍1

2 Nov 2026, 05:19 UTC≈1,690 views2 reactionsread 7 November 2026
Photo

业界NO.1 🟡花名:小甜甜(个人) 🕐位置:#鼓楼区 🤖双向:@qiyue585857_bot 🚀电报:@qiyue585859 🔔小窝: 点击浏览频道👀 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 🔰【格言 】 82. 愿你被这世界温柔相待,亦能按照自己喜欢的方式过一生。 🔰#点击下方查看详情⬇️

❤2

30 Oct 2026, 12:30 UTC≈2,490 views2 reactionsread 6 November 2026
Photo

#全果94养生 #台江夯爆了94公寓SPA #spa按摩 00后女仆 #女仆养生 #女仆换装 #极致养生 位置:#福州 台江万达附近 女仆养生:419/60分钟 前期老师会帮你助洗擦拭身体,可挑选服装丝袜 ,按摩肌肤,玉女指滑 ,高山流水,深度鼻吸,波汹滑翔,果舌毒🐉,猴子偷桃 ,水中捞月,双宝夹龙,二弟保养,脚盘指滑,亲🐻挑逗,4推选择释放(极致就是潮) 以上服务均有,形象~服务~情绪集于一身,服务时间45-60分钟,会所级服务流程名副其实极致,让更多表哥享受优质服务的同时,有一个宁静的环境,独享一份属于自己的世界。 女仆快感:599/60分钟(不限次) 要提前几次,跟老师提前说会合理安排时间,一切以时间为准! 前期老师会帮你助洗擦拭身体,可挑选服装丝袜 ,床式女仆调情,按摩肌肤,玉女指滑 ,高山流水,深度鼻吸,波汹滑翔,果舌毒🐉,猴子偷桃 ,水中捞月,双宝夹龙,二弟保养,脚盘指滑,亲🐻挑逗,4推选择释放 女仆双飞:6…

❤2

30 Oct 2026, 11:44 UTC≈2,430 views2 reactionsread 6 November 2026
Photo

福州。福清。五区八县修车资源 电报联系 @eew136 福州修车频道:点击预览👀 福清选妃频道:点击预览👀 客服qq:3938917054 双向机器人:@eew137_bot 福州 #高新区 #鼓楼区 #仓山区 #台江区 #晋安区 #小萝莉外出#福清#长乐#马尾#连江#平潭#罗源# 服务:#陪浴 #无套吹 #激情爱爱 #胸推 #六九 #🐍吻 🔴标签 #可放心出击 #已验证

❤2

28 Oct 2026, 09:48 UTC≈2,530 viewsread 4 November 2026
Photo

圈界NO.1 🟡昵称: 宁宁 🕐地区:#仓山区 🤖双向:@nyy00hh_bot 🚀电报:@nyy00hh 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的身上既有女孩的灵动纯真,又有成熟女性的知性大方。 🔰#点击下方查看详情⬇️

26 Oct 2026, 04:29 UTC≈3,120 views1 reactionsread 4 November 2026
Photo

🟡昵称: 小月亮个人老师 🕐地区:#晋安区 🤖双向:@xzzzlbot 🚀电报:@www58956 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 很多人追求模板化的漂亮,而你拥有专属于自己的辨识度,一眼就能记住,这才是最为难得的美丽。 🔰#点击下方查看详情⬇️

❤1

24 Oct 2026, 11:48 UTC≈2,720 views3 reactionsread 2 November 2026
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圈界NO.1 🟡昵称:小灵儿 🕐地区:#翔安区 🤖双向:@xianganxiaolinger_bot 🚀电报:@xianganxiaojiuer 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 48. 你的包容与理解,是这喧嚣世间最难得的避风港。 🔰#点击下方查看详情⬇️

❤3

Showing the 12 most recent of 62 posts we hold for @laoqv. 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.

Posts edited after publishing

@laoqv edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
29 August 2026
Most recent edit
29 August 2026

Posts recorded as deleted after publishing

We recorded 11 posts on @laoqv as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
14 August 2026
Most recent seen missing
26 October 2026
Median time before seen missing
36 hours
Seen missing in the last 30 days
6

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“福州白乐门” (@laoqv), 28,879 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/laoqv.

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.