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Channel

无锡鱼舟夜色【报告频道】

@WUXIYH

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

9,754subscribers

+56 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-1002280032967
TypeChannel
Username@WUXIYH
Description【无锡】江南一夜听春雨,深巷雏鸡卖杏B! 无锡第一测评报告!
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/WUXIYH

Growth

9,6989,7549,7267 August 2026 — 9,698 subscribers7 August 2026 — 9,698 subscribers7 August 2026 — 9,701 subscribers10 August 2026 — 9,728 subscribers13 August 2026 — 9,739 subscribers16 August 2026 — 9,754 subscribers7 August 202616 August 2026
6 measurements spanning 10 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 9,690–9,762 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 17:359,754+15
13 Aug 2026, 13:479,739+11
10 Aug 2026, 03:579,728+27
7 Aug 2026, 05:219,701+3
7 Aug 2026, 04:309,698no change
7 Aug 2026, 04:189,698first reading

Engagement

42 posts held, back to 1 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.87%
avg views ÷ 9,754 subscribers
Avg views / post
572
42 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
42
of 42 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 17 August 2026
Posts held42 (1 August 202617 August 2026)
Views total24,028
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 02:14 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
140
Videos
33
Links
49

Lifetime counters from Telegram’s own channel header, read 18 August 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 02s
Average length
10s

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.

Recent posts

17 Aug 2026, 09:15 UTC139 viewsread 18 August 2026
Forwarded from @SUSUZHENXUANPhoto

🍀花名: 欧拉 😮😮 😮😮 😮 😮😮 🐳亮点🐳 一天安排了3个 第二个没回复 后面第一个和第三个老客户都是爆赞👍值得出击!优惠安排中! 👩‍🦱妹子驻地👩‍🦱 一键关注无锡白嫖抽奖 #梁溪区东岭锡上大厦 🪙🪙价目 特惠🪙🪙 安排联系👍 @WUXISUSU ⚡️⚡️ 今日总资料出勤 ❤️料理测评A: https://t.me/WUXIYH/32441 ❤️料理测评B: https://t.me/WUXIYH/32448

17 Aug 2026, 09:14 UTC236 viewsread 18 August 2026
Photo

【出击时间】: 【出击留名】:8.17 【老师艺名】:洋酒 【老师课费】:2200 【人照差距】:8 【服务评价】:100 【体验报告】:上周去过五分钟结束之后,一直还想在她走之前再去一次,是我头一回想来第二次甚至第三次的。进门之后,依旧像老友一样打招呼,然后就是亲吻。我向她表明我的来意是因为上次体验太好了以至于我天天晚上想的睡不着,她就开始媚眼如丝的看着我。洗完之后两个人就抱在床上拥吻了好久,紧接着就赶紧去掏套套,她也没舍得从我怀里离开,我们就抱着坐在一起,把套套戴上就开始干了,中间翻云覆雨的就省略了,让我欲罢不能的是她跟我说 i can feel you ,我感觉我们交融在了一起,换了两个姿势,最后后入趴在她身上抽插了一会,她就和我说im coming ,最后在她浑身颤抖了一会后,我从后面拥抱着与她接吻,继续顶了她两分钟后,我也出货了。因为感觉太像我的外国女友了,所以走之前都有些不太想离开,想在玩一会,问她下次啥

16 Aug 2026, 04:29 UTC573 viewsread 18 August 2026
Video

新人,台球助教下海什么都能玩 什么都愿意学,求大哥支持一下小弟刚忽悠过来的!

15 Aug 2026, 06:11 UTC578 viewsread 18 August 2026
Photo

#无锡修车报告 #无锡 #无锡外围 #无锡修车 苏苏声明:所有报告都带有个人主观性,报告均为参考,请理性看待! ----------【基本信息】---------- 【出击时间】:2026.8.15 【群友留名】:匿 【老师名称】:欧拉 ①服务与课表是否相同:相同 ②老师风格类型:洋酒,性感 出击时间 人照&年龄 20 肤色肤质:白 胸围&胸型:大、挺 氛围&态度:东岭,氛围好 科技(含疑似)&纹身:一点点小纹身,基本看不到 上课环境 ----------【主观评语】---------- 一进门就惊艳到了,一对车灯晃瞎我,纯正的洋妞,资料卡里有几张照是黑皮,实际肤色很白,皮肤很嫩,态度也很好。洗完澡出来就看到一位金发碧眼的洋妞穿着情趣内衣躺在床上撩动我的心弦,激动的直接就冲上去了,口活很舒服,车灯大,人也骚,打桩的时候时不时来两句fuck,又来两句god,再来两句yes,太有代入感了。只能说洋马还是不一样嗷,太骚

15 Aug 2026, 04:19 UTC608 viewsread 18 August 2026
Video

#无锡修车报告 #无锡 #无锡外围 #无锡修车 苏苏声明:所有报告都带有个人主观性,报告均为参考,请理性看待! ----------【基本信息】---------- 【出击时间】:7.25 【群友留名】:豆先生 【老师名称】:小布丁 ①服务与课表是否相同: ②老师风格类型: 出击时间 人照&年龄 :20多把 肤色肤质:小麦色 胸围&胸型:A-B 氛围&态度:爱唠嗑 科技(含疑似)&纹身:小纹身好几个 上课环境: 公寓还行 ----------【主观评语】---------- 我比较嫌麻烦,市中心人多还不好停车,去也不方便,正好到锡东这边有事,开车很方便,就是有点远!这天气高温黄色预警在空调间里吹的人没精神,就翻了翻出勤,看上个喜欢的偏萝莉的甜妹,苏苏直接安排上楼!进门给我眼睛一亮,姑娘大眼睛高鼻梁,脸就是小脸偏圆,挺好!身材小小的!拉去洗洗,简单帮你,对视给我看美了!擦干上楼操作,对这种小姑娘没啥服务要求,随便弄

13 Aug 2026, 15:58 UTC657 viewsread 18 August 2026
Photo

老哥 吃上 好的洋酒 建议我把其他的中国妹子都下了 绝了

13 Aug 2026, 05:46 UTC563 viewsread 15 August 2026
Photo

吹水号:@WUXISUSU 认准苏苏:@WUXISUSU_1 每日资料:https://t.me/JiangnanStyle_1 声明:所有报告都带有个人主观性,报告均为参考,请理性看待! ----------【基本信息】---------- 【出击时间】:3 14 【群友留名】:白羊 【老师名称】:小七陌 【老师榜上链接】:https://t.me/WUXIGAODUANZHENXUAN/384 ----------【客观体验】---------- 【基本内容】 ①服务与课表是否相同: ②老师风格类型:嫩妹 ③卫生:正常公寓 ④时间:不催 ①人照&年龄:基本相符 20不到 ②肤色肤质:黄皮 ③身高&体重:160 80 ④胸围&胸型:圆润的一笔的b杯 ⑤氛围&态度:不事儿逼 ⑥科技(含疑似)&纹身:看不出科技,纹身就是上臂加腿上 ⑦工作室情况 ----------【主观评语】---------- 【亮点】:嫩 好

13 Aug 2026, 05:46 UTC508 viewsread 15 August 2026
Photo

吹水号:@WUXISUSU 认准苏苏:@WUXISUSU_1 每日资料:https://t.me/JiangnanStyle_1 声明:所有报告都带有个人主观性,报告均为参考,请理性看待! ----------【基本信息】---------- 【出击时间】:3.6 【群友留名】:匿 【老师名称】:小七陌 【老师榜上链接】: ----------【客观体验】---------- 【基本内容】 ①服务与课表是否相同: ②老师风格类型:嫩妹 ③卫生:差 ④时间:90 ①人照&年龄: ②肤色肤质:正常偏暗 ③身高&体重:不到160,瘦小 ④胸围&胸型:b ⑤氛围&态度:一般 ⑥科技(含疑似)&纹身:多处 ⑦工作室情况 ----------【主观评语】---------- 卫生差了点,服务还可以,水多进去没几下那种湿润的感觉就来了,甭管是真是假妹子在叫声上挺到位也挺自然的 【亮点】:水多 【综合短评】:紧 【缺点和建议】:

13 Aug 2026, 05:45 UTC438 viewsread 15 August 2026
Photo

吹水号:@WUXISUSU 认准苏苏:@WUXISUSU_1 每日资料:https://t.me/JiangnanStyle_1 声明:所有报告都带有个人主观性,报告均为参考,请理性看待! ----------【基本信息】---------- 【出击时间】: 【群友留名】: 【老师名称】:小七陌 【老师榜上链接】:https://t.me/WUXIGAODUANZHENXUAN/384?single ----------【客观体验】---------- 【基本内容】 ①服务与课表是否相同: ②老师风格类型:嫩妹 ③卫生: ④时间: ①人照&年龄:不知道成年没有 ②肤色肤质:正常肤色 ③身高&体重:155左右 ④胸围&胸型:b+,但是饱满,握起来舒服,软 ⑤氛围&态度:不错 ⑥科技(含疑似)&纹身:有 ⑦工作室情况 ----------【主观评语】---------- 进门,洗澡,不过妹子说冷,躲被窝里面,吹的话一般

Showing the 12 most recent of 42 posts we hold for @WUXIYH. 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 — 34,049 of 1,548,671entries 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.

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 9 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“无锡鱼舟夜色【报告频道】” (@WUXIYH), 9,754 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/WUXIYH.

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.