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Channel

福州【公开榜】

@fuzhougkb01

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

28,803subscribers

+3,684 since we began measuring on 27 August 2026

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

Register entry

Telegram ID-1001604555798
TypeChannel
Username@fuzhougkb01
Description🎫个人/中介/会所/外围 认证中心 只做最真实的娱乐资源,真实即可认证 认证通过即可公示! 认证联系: @TShengdi_bot 福州/莆田交流群: @fuzhouxc01
CreatedBetween 1 November 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 August 2026
Last confirmed live25 October 2026
Measurements held31
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/fuzhougkb01

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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 why it has no browse page of its own yet.

Growth

24,71228,80326,757.527 August 2026 — 25,119 subscribers27 August 2026 — 25,119 subscribers28 August 2026 — 25,125 subscribers29 August 2026 — 25,156 subscribers30 August 2026 — 25,164 subscribers30 August 2026 — 25,114 subscribers31 August 2026 — 25,074 subscribers1 September 2026 — 24,994 subscribers3 September 2026 — 24,846 subscribers4 September 2026 — 24,712 subscribers7 September 2026 — 24,793 subscribers10 September 2026 — 25,420 subscribers12 September 2026 — 25,194 subscribers14 September 2026 — 25,040 subscribers15 September 2026 — 25,203 subscribers18 September 2026 — 25,088 subscribers1 October 2026 — 26,038 subscribers6 October 2026 — 26,583 subscribers10 October 2026 — 27,023 subscribers13 October 2026 — 27,520 subscribers15 October 2026 — 27,699 subscribers16 October 2026 — 27,838 subscribers17 October 2026 — 27,969 subscribers17 October 2026 — 28,084 subscribers18 October 2026 — 28,214 subscribers19 October 2026 — 28,057 subscribers20 October 2026 — 28,419 subscribers22 October 2026 — 28,526 subscribers23 October 2026 — 28,606 subscribers24 October 2026 — 28,641 subscribers25 October 2026 — 28,803 subscribers27 August 202625 October 2026
31 measurements spanning 59 days, net +3,684. 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 24,098–29,417 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
25 Oct 2026, 06:2028,803+162
24 Oct 2026, 04:5928,641+35
23 Oct 2026, 04:2128,606+80
22 Oct 2026, 07:3428,526+107
20 Oct 2026, 21:5628,419+362
19 Oct 2026, 23:2728,057-157
18 Oct 2026, 23:1428,214+130
17 Oct 2026, 21:3428,084+115
17 Oct 2026, 00:1027,969+131
16 Oct 2026, 01:0827,838+139
15 Oct 2026, 00:3927,699+179
13 Oct 2026, 21:4027,520+497
10 Oct 2026, 13:5627,023+440
6 Oct 2026, 10:4026,583+545
1 Oct 2026, 09:2126,038+950
18 Sept 2026, 06:2225,088-115
15 Sept 2026, 21:3725,203+163
14 Sept 2026, 05:3725,040-154
12 Sept 2026, 16:0025,194-226
10 Sept 2026, 18:1625,420first reading

Engagement

22 posts held, back to 19 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.33%
avg views ÷ 28,803 subscribers
Avg views / post
2,400
13 posts measured
Reaction rate
0.115%
reactions ÷ views · ER floor
Posts in window
13
of 22 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 25 October 2026
Posts held22 (19 August 2026 – 25 October 2026)
Views total31,178
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 07:37 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
996
Videos
95
Links
29

Lifetime counters from Telegram’s own channel header, read 25 October 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
2m 07s
Average length
11s

Measured directly from 12 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

60 reactions across 22 posts, in 6 distinct kinds. The most used accounts for 31.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1931.7%
🔥1830.0%
🥰1321.7%
😁58.33%
👏35.00%
🎉23.33%

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 22 of the 22 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 19 August 2026 to 25 October 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

25 Oct 2026, 03:25 UTC88 views1 reactionsread 25 October 2026
Photo

昵称: 嘟嘟 省份:#福建 城市:#福州 年龄:20 身高:172 体重:110 罩杯:b+ 职业:雪生 是否chu: 否 能否口:能 能否SM:一点点 能否无套(体检/试纸后):加钱 能否内设: 加钱 能否过夜:可 能否同居:可 可否其他城市: 可 可否飞飞外省:可 亲戚日期:不准 可陪伴天数: 3天 期望零花钱: 7000 零花钱分几次:2次 最早出发时间:随时 自我介绍加分项(很重要): 情绪稳定 面相好 会旺人,高情商 本人有气质,性格温和开朗 不做作 好相处,皮肤光滑细腻白嫩,懂事听话会配合 床上反差,善于提供情绪价值。 MBH2 介绍费:6888 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 唯一包养客服 @Baoyxin 双向私聊限制 @Baoyxin_bot

🔥1

18 Oct 2026, 12:40 UTC≈1,760 views3 reactionsread 25 October 2026
Photo

【老 师 艺 名】#暖允禾 【所 在 位 置】#莆田 #荔城 【茶 位】#8P #16PP 【服 务 类 型】#全套 【联 系 方 式】@nuan1112 【老 师 频 道】@nuan1112_bot 【双向机器人】@nuan77811 备注: #个人老师 #视频认证

👍1🔥1🥰1

18 Oct 2026, 11:11 UTC≈1,700 views4 reactionsread 25 October 2026
Photo

🍷 #福州 洋酒一手 🌸小医仙🌸 ➡️【日韩欧美 周周更新】 专注国外进口,保证绝无国内妹 🇯🇵日🇰🇷韩🇬🇧英🇷🇺俄🇳🇱荷 更多… ➡️【高端全套服务】 69 🐍舌吻🥚舔蛋🛀按摩🐲毒龙 💦自慰秀👚情趣衣👅舔鲍🧦丝袜 ➡️【特殊玩法加购订制】 💥口爆 🍑无套 🚪三通 🐦‍🔥双飞🌙 包夜 ✈️唯一安排:@rmrmrm168 🤖双向联系:@rmrmrm168_bot 🌸频道选妃:@fuzhouygou 💎评价交流:@fuzhouygroup ❤️底价直出 欢迎同行合作❤️

👍2🔥1🥰1

15 Oct 2026, 03:22 UTC≈1,930 views3 reactionsread 25 October 2026
Photo

心动💗世界 主题莞式会所 #福州 📱📱八大主题房间 尽享心动💓 📱📱📱 各类情景再现,麻豆剧情演绎 如果普通玩法不满足那🤓🤓🤓🤓 📱 上百套情趣制服,丝袜高跟鞋盛宴 📱 搭配各类皮鞭眼罩道具类玩转4T 📱 00后美女无套口爆,深入体验插入 😀更有莞式十八式之红绳空中飞人 😀又有倒立旋转飞人吹箫 😀再现水磨干磨莞式spa 😀😀😀😀😀😀😀😀😀😀😀 🤣全场海选,组选,每天出勤👍👍 ➕ 🤣主打嫩模,各类兼职,KTV小妹下海捞金 🤣🤣🤣 停车方便😀送红牛中华香烟😀 😀😀😀😀😀😀😀😀😀😀😀 📱📱🤣🤣 🤣🤣🤣🤣 客服号 : @hhhuoddd 双向限制: @hhuodbot 频道: @xingdunai

👍1🔥1🥰1

11 Oct 2026, 13:45 UTC≈3,150 views3 reactionsread 24 October 2026
Photo

【老 师 艺 名】#静静 【所 在 位 置】#莆田 #荔城 【茶 位】#8P #16PP 【服 务 类 型】#全套 【联 系 方 式】@jing9799 【老 师 频 道】@jing88912 【双向机器人】@jing9799_bot 备注: #个人老师 #视频认证

👍1🔥1🥰1

11 Oct 2026, 07:11 UTC≈1,810 views4 reactionsread 18 October 2026
Photo

【老 师 艺 名】#欣雨 【所 在 位 置】#莆田 【茶 位】#6P #12PP 【服 务 类 型】#全套 【联 系 方 式】@UDUni168 【老 师 频 道】@yangASD168 【双向机器人】@waojsjd2026_bot 备注: #个人老师 #视频认证

👍2🔥1😁1

10 Oct 2026, 16:07 UTC≈2,540 views1 reactionsread 14 October 2026
Photo

🔥🔥🔥🔥🔥🔥🔥 #风逝全国包养 整个飞机最靠谱的包养 售后no1 —————————————— 联系 @fsvipby 备用客服 @fsvipxx —————————————— 主频道 @fsby520 精品群 @fsbyjp 导航 https://t.me/fsby520/5375221 特价频道 @fsbytjhj —————————————— 官方认证 全网最靠谱 全网最第低价 本群已有人验证过,已交押 —————————————— 首单介绍费6⃣折! 单单打折!!单单打折!!

👏1

1 Oct 2026, 06:09 UTC≈4,290 views3 reactionsread 14 October 2026
Photo

#福州 #晋安 #东二环泰禾 快2,全3 主打性价比,每日更新,车子量大经常会有不错的 加好友备注品茶,CJ了可在评论区反馈下 电报号 @fzkc2 晋安火车站👇 QQ号:3916722642 2228092029 微信:mi062tao 仓山万达附近👇 QQ号:3669384806 3874888675 微信:mi002tao

👏1🔥1😁1

30 Sept 2026, 12:40 UTC≈2,890 views1 reactionsread 11 October 2026
Photo

【老 师 艺 名】#恩熙 【所 在 位 置】#莆田 #城厢 【茶 位】#8P #16PP 【服 务 类 型】#全套 【联 系 方 式】@enxi1121 【老 师 频 道】@enxi112 【双向机器人】@enxi1121_bot 备注: #个人老师 #视频认证

🥰1

28 Sept 2026, 17:08 UTC≈3,020 views3 reactionsread 10 October 2026
Photo

#全果94 4️⃣推 #福州 #晋安 #极致养生 #spa 技师均是95后至00后 选择多多 欢迎到店体验 位置:晋安区岳峰镇桂香街90号(康元舒养生Spa) 4推养生:399/50分钟 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(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。 无限释放: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,…

🔥2👍1

27 Sept 2026, 03:03 UTC≈4,050 views4 reactionsread 10 October 2026
Photo

心动💗世界 主题莞式会所 #福州 📱📱八大主题房间 尽享心动💓 📱📱📱 各类情景再现,麻豆剧情演绎 如果普通玩法不满足那🤓🤓🤓🤓 📱 上百套情趣制服,丝袜高跟鞋盛宴 📱 搭配各类皮鞭眼罩道具类玩转4T 📱 00后美女无套口爆,深入体验插入 😀更有莞式十八式之红绳空中飞人 😀又有倒立旋转飞人吹箫 😀再现水磨干磨莞式spa 😀😀😀😀😀😀😀😀😀😀😀 🤣全场海选,组选,每天出勤👍👍 ➕ 🤣主打嫩模,各类兼职,KTV小妹下海捞金 🤣🤣🤣 停车方便😀送红牛中华香烟😀 😀😀😀😀😀😀😀😀😀😀😀 📱📱🤣🤣 🤣🤣🤣🤣 客服号 : @hhhuoddd 双向限制: @hhuodbot 频道: @xingdunai

😁2👍1👏1

26 Sept 2026, 15:08 UTC≈2,520 views3 reactionsread 1 October 2026
Photo

【老 师 艺 名】#安娜 【所 在 位 置】#福州 #晋安 【茶 位】#5P #9PP 【服 务 类 型】#全套 【联 系 方 式】@fuzhouannaanna 【老 师 频 道】@fuzhouanna 【双向机器人】@fuzhouannaanna_bot 备注: #个人老师 #视频认证

👍1🔥1🥰1

Showing the 12 most recent of 22 posts we hold for @fuzhougkb01. 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

@fuzhougkb01 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
2 October 2026
Most recent edit
2 October 2026

Forward network

Republished by

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

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

Named by 4 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“福州【公开榜】” (@fuzhougkb01), 28,803 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/fuzhougkb01.

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.