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Channel

福建(泉州厦门福州漳州)商务KTV娱乐会所(全国可订)

@fj_lsja

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

3,916subscribers

-9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002050507306
TypeChannel
Username@fj_lsja
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/fj_lsja

Growth

3,9163,9373,926.57 August 2026 — 3,925 subscribers7 August 2026 — 3,925 subscribers10 August 2026 — 3,922 subscribers13 August 2026 — 3,917 subscribers16 August 2026 — 3,921 subscribers19 August 2026 — 3,931 subscribers23 August 2026 — 3,937 subscribers26 August 2026 — 3,919 subscribers29 August 2026 — 3,916 subscribers7 August 202629 August 2026
9 measurements spanning 22 days, net -9. 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 3,913–3,940 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 04:553,916-3
26 Aug 2026, 02:053,919-18
23 Aug 2026, 03:363,937+6
19 Aug 2026, 18:173,931+10
16 Aug 2026, 17:563,921+4
13 Aug 2026, 05:063,917-5
10 Aug 2026, 12:523,922-3
7 Aug 2026, 13:583,925no change
7 Aug 2026, 13:473,925first reading

Engagement

9 posts held, back to 15 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.25%
avg views ÷ 3,916 subscribers
Avg views / post
49.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 9 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 6 August 2026
Posts held9 (15 March 20266 August 2026)
Views total49
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:57 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.

Reaction mix

3 reactions across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 2 of the 9 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 15 March 2026 to 6 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

6 Aug 2026, 13:25 UTC49 viewsread 8 August 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

30 Jul 2026, 13:10 UTC160 viewsread 8 August 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

23 Jul 2026, 12:59 UTC267 viewsread 8 August 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

16 Jul 2026, 12:16 UTC358 views0 reactionsread 8 August 2026
Photo

#福建 #莆田 #漳州 #泉州 ·项目及介绍👇👇👇👇👇👇👇👇 ·套餐一: 399(助教恋爱 )60分钟 双人豪华大包厢,甜美制服丝袜助教,看电影,聊人生,互动游戏!🔥 套餐二:599(优选助教恋爱升级玩法 )60分钟 打破欲望禁忌,躺式观影,耳边私语鼻息温软在怀,会服从主人,以主人为中心的聊天, 🐍🐍舌尖缠绕 口腔无异味问题不大,真空深入 M0✋ 🍼, 😚🍼M0✋🦵 藕断丝连,可撕丝袜,投食、指滑暧昧,换制服🔥🔥🔥 套餐三:699(沉浸式助教恋爱)60分钟 全程换装体验(jk 女仆 包臀 萝莉),调情、换黑白丝袜、 🐍🐍舌尖缠绕 口腔无异味问题不大、深入真空 M0✋🍼 😙🍼M0✋🦵 隔🩲M0✋↓🌮 恋爱互动游戏飞行棋,骑乘式的搂抱🐎磨豆腐 摇摇车,洗面奶、俯卧撑、激情眼罩捉迷藏、 才艺表演,更开心,更解压,具体到店详聊! 极致体验🔥🔥🔥🔥强烈推荐🔥🔥🔥 套餐四:899(无限可击助教恋爱) 包含了套餐2/

8 Apr 2026, 13:11 UTC≈1,760 views3 reactionsread 8 August 2026
Photo

#福建KTV #厦门KTV #漳州KTV #福州KTV #泉州KTV #晋江KTV 福建商k需要安排的,请找我! 本场现推出新玩法新项目,鸡群次鸡开放大担,大家有空可以过来体验 本店晓湄年龄控制在00后, 上真🈳,下漏风、推出空姐制服优貨,民族风全新模式,1汉服全新体验,20多种小游戏等等 小湄统一专业培训、有优越的服务意 识, 先挑湄子后开台,本店正常出勤约200位晓湄,湄子多 颜值高服务质量你懂的,一边摸艿一边丸 联系方式微信手机同号:15006019127

3

8 Apr 2026, 13:07 UTC≈1,420 viewsread 8 August 2026

#福建KTV #厦门KTV #漳州KTV #福州KTV #泉州KTV #晋江KTV 福建商k需要安排的,请找我! 本场现推出新玩法新项目,鸡群次鸡开放大担,大家有空可以过来体验 本店晓湄年龄控制在00后, 上真🈳,下漏风、推出空姐制服优貨,民族风全新模式,1汉服全新体验,20多种小游戏等等 小湄统一专业培训、有优越的服务意 识, 先挑湄子后开台,本店正常出勤约200位晓湄,湄子多 颜值高服务质量你懂的,一边摸艿一边丸 联系方式微信手机同号:15006019127

16 Mar 2026, 13:31 UTC≈2,030 viewsread 8 August 2026
Photo

#深圳KTV #深圳商务KTV #深圳龙华商务KTV #龙华商务KTV 名字:荣钻KTV 服务员加包房管家1200 演员(喝酒的)美女1200/1500档次(身高和颜值不一样),自己选,不限时,陪到客人走 以下是房间最低消费(最低消费包含了相对应的啤酒喝果盘小吃纸巾和开房费) 1580的房包含20罐 1780的房包含26罐 2080 的房包含36罐 2180 的房包含36罐 2380 的房包含42罐 2880 的房包含54罐 3180 的房包含60罐 4480 的房包含90罐 5080 的房包含110罐 以上房间低消都要加收15%服务费 低消过后啤酒加酒780/2打 低消过后啤酒加酒780/2打 地址: 荣钻KTV 广东省深圳市龙华区龙观东路金龙华广场5楼 联系方式手机微信同号:15006019127

15 Mar 2026, 15:27 UTC≈1,230 viewsread 8 August 2026
Forwarded from @fujianxiuche111Photo

#福建商k #漳州KTV #漳州真空场 名字: 豪门~国色天香 特点: 上真空场,妹子玩的比较开,价格优惠,性价比高 演员: 高台500/真空600 地址: 福建省漳州市芗城区延安北路36号商业大厦4/6楼 飞机联系人: @GTKTV999999 微信手机同号: 15006019127

15 Mar 2026, 15:25 UTC≈1,060 viewsread 8 August 2026
Forwarded from @fujianxiuche111Photo

#福建KTV #泉州KTV #丰泽商k天花板 名字: 东方荟 特点: 泉州环境最高端,妹子颜值巅峰,接待高端客户 价格: 演员: 800/1000/1200/1500 经理: 600 公主: 600 少爷: 200 地址: 福建省泉州市丰泽区丰田路8号5楼东方荟国际艺术中心Partyroom 飞机联系人: @GTKTV999999 微信手机同号: 15006019127

Showing the 9 most recent of 9 posts we hold for @fj_lsja. 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 — 537,684 of 1,628,524entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

“福建(泉州厦门福州漳州)商务KTV娱乐会所(全国可订)” (@fj_lsja), 3,916 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/fj_lsja.

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.