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Channel

福州出击部

@fzchuji666

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

199subscribers

+0 since we began measuring on 4 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002174195202
TypeChannel
Username@fzchuji666
Description狼友出击水流成河/欢迎写下你的出击体验 认证老师:https://t.me/laoqv 关联群:https://t.me/jibaosiqj
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 October 2026
Last confirmed live4 October 2026
Measurements held2
On Telegramt.me/fzchuji666

Growth

1994 Oct 2026, 15:47 — 199 subscribers4 Oct 2026, 16:22 — 199 subscribers4 Oct 2026, 15:474 Oct 2026, 16:22
2 measurements taken within a single day. 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 198–200 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 16:22199no change
4 Oct 2026, 15:47199first reading

Engagement

20 posts held, back to 8 February 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.80%
avg views ÷ 199 subscribers
Avg views / post
19.5
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 20 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 30 September 2026
Posts held20 (8 February 2025 – 30 September 2026)
Views total39
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Oct 2026, 16:22 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
7
Links
10

Lifetime counters from Telegram’s own channel header, read 4 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.

Reaction mix

3 reactions across 2 posts, 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 8 of the 20 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 8 February 2025 to 30 September 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

30 Sept 2026, 04:31 UTC18 viewsread 4 October 2026

【妹妹花名】:桃子 【报告署名】:匿名 【验证时间】: 2026年3月20日 【验证地点】:高新区 【服务类别】:98(大项) 【修车水费】:1200 【妹妹类型】:甜妹型 【颜值身材】:娇小型,人照8-9分相似 {年龄}:22-24 {颜值}: 8分,与照片相差不了多少 {皮肤}:黄皮,有少许纹身。 {罩杯}:唯一的缺憾就是胸没有很大,一手掌握 {身高}:160左右 {体重}:50kg左右 {赘肉}:腹部无赘肉,主要穿的情趣,实在看不出来 {颜值综合打分}:8分 {身材综合打分}:8分 【服务质量】: {服务内容}:胸滑,臀滑,口爆,69,助浴,毒龙。课表有的基本上都做了。 {服务水平}:课表有95,98。算是专业老师了。 {服务态度}:老师帮忙陪浴,本狼属于娇羞型,直接拒绝自己洗了 {服务综合打分}:9.5分 【课室环境】:酒店式公寓课室环境还算比较干净。房间宽敞,布置的也挺温馨的 【过程概述】:下午看到高新区新…

29 Sept 2026, 16:20 UTC21 viewsread 4 October 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_7046693230

30 Aug 2026, 16:12 UTC59 viewsread 4 October 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_7046693230

31 Jul 2026, 16:07 UTC131 viewsread 4 October 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_7046693230

1 Jul 2026, 16:01 UTC201 viewsread 4 October 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_7046693230

22 Mar 2026, 16:02 UTC890 views0 reactionsread 4 October 2026

【妹妹花名】:桃子 【报告署名】:匿名 【验证时间】: 2026年3月20日 【验证地点】:高新区 【服务类别】:98(大项) 【修车水费】:1200 【妹妹类型】:甜妹型 【颜值身材】:娇小型,人照8-9分相似 {年龄}:22-24 {颜值}: 8分,与照片相差不了多少 {皮肤}:黄皮,有少许纹身。 {罩杯}:唯一的缺憾就是胸没有很大,一手掌握 {身高}:160左右 {体重}:50kg左右 {赘肉}:腹部无赘肉,主要穿的情趣,实在看不出来 {颜值综合打分}:8分 {身材综合打分}:8分 【服务质量】: {服务内容}:胸滑,臀滑,口爆,69,助浴,毒龙。课表有的基本上都做了。 {服务水平}:课表有95,98。算是专业老师了。 {服务态度}:老师帮忙陪浴,本狼属于娇羞型,直接拒绝自己洗了 {服务综合打分}:9.5分 【课室环境】:酒店式公寓课室环境还算比较干净。房间宽敞,布置的也挺温馨的 【过程概述】:下午看到高新区新…

3 Feb 2026, 15:15 UTC690 viewsread 4 October 2026

【老师花名】 【联系方式】 【所在区域】 【上课茶费】 【狼友留名】 【验证时间】 《颜值》( )分 《身材》( )分 《态度》( )分 《环境》( )分 {上课技术}( )分 {配合程度}( )分 {体验过程}( )分 评价老师以打分模式区分,1~10分。 👇 👇 极差(1~2)分,很差(3~4)分 一般(5~6)分,很好(7~8)分 非常好( 9 )分,完美( 10 )分 【体验细节】: ⚠️温馨提示:此报告为个人体验结论,仅供参考 提交报告 @hxr8889bot 【修车频道】 https://t.me/laoqv 【修车老群】https://t.me/jibaosiqj

6 Jul 2025, 07:25 UTC≈2,600 viewsread 4 October 2026

🥳😜😜😝 🥇以下 为永久航路友群 福利群 有免费上榜 🥇也有收费老群 😤🔨 武汉中转站 😤🔨 南京中转站 😤🔨 杭州中转站 😤🔨 西安中转站 😤🔨 上海中转站 😤🔨 珠海中转站 😤🔨 嘉兴中转站 😤🔨 南宁中转站 😤🔨 宁波中转站 😤🔨 合肥中转站 😤🔨 长沙中转站 😤🔨 苏州中转站 😤🔨 东莞中转站 😤🔨 广州中转站 😤🔨 义乌中转站

28 Jun 2025, 14:28 UTC≈2,390 viewsread 4 October 2026

🥳😜😜😝 友群 福利群 免费上榜 😤🔨 广州交友会 😤🔨 长沙交友会 😤🔨 东莞交友会 😤🔨 上海交友会 😤🔨 苏州交友会 😤🔨 西安交友会 😤🔨 南宁交友会 😤🔨 武汉交友会 😤🔨 嘉兴交友会 😤🔨 合肥交友会 😤🔨 南京交友会 😤🔨 杭州交友会 😤🔨 珠海交友会 😤🔨 义乌交友会 😤🔨 宁波交友会

Showing the 12 most recent of 20 posts we hold for @fzchuji666. 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.

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

“福州出击部” (@fzchuji666), 199 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/fzchuji666.

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.