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Channel

杭州CJ好声音

@yanzhide123

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

6,460subscribers

+164 since we began measuring on 21 August 2026

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

Register entry

Telegram ID-1002516867739
TypeChannel
Username@yanzhide123
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded21 August 2026
Last confirmed live1 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/yanzhide123

Growth

6,2966,4606,37821 August 2026 — 6,296 subscribers23 August 2026 — 6,334 subscribers26 August 2026 — 6,376 subscribers29 August 2026 — 6,425 subscribers1 September 2026 — 6,460 subscribers21 August 20261 September 2026
5 measurements spanning 10 days, net +164. 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 6,271–6,485 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 09:256,460+35
29 Aug 2026, 05:186,425+49
26 Aug 2026, 06:286,376+42
23 Aug 2026, 08:386,334+38
21 Aug 2026, 23:026,296first reading

Engagement

11 posts held, back to 16 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
39.2%
avg views ÷ 6,460 subscribers
Avg views / post
2,530
11 posts measured
Reaction rate
0.133%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 9 of 11 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 21 August 2026
Posts held11 (16 August 202621 August 2026)
Views total27,880
Reactions total32
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Aug 2026, 23:02 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

Video runtime
1m 05s
Average length
9s

Measured directly from 7 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

32 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 90.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2990.6%
🎉26.25%
👍13.13%

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 9 of the 11 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 16 August 2026 to 21 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

21 Aug 2026, 08:57 UTC≈1,490 viewsread 21 August 2026
Video

232 #小小夏 @xiaoxiai520 8P 星晚小姐妹,必须去刷一下啦。 人照有9,见到人之后感觉很好,属于我很喜欢的那种冷艳脸。 高挑,修长,科技胸,黄偏白,滑肤。商K模特型。 这个颜值我还真挺好这口的,冷艳御姐,看着就蠢蠢欲动。外形上在8这个价位的御姐里没什么好说的,给到夯。 床戏上,口活很好,属于没花活,但就是纯舒服的那种,吸力也合适,速度也合适,口得我中间有想射的苗头,还好她提了一下69中间断开一下让我冷却一下,不然真有可能被她口出。69还行,属于小肥鮑。 女上开始,这个紧致程度是让我喜出望外的,我也没料到这个御姐也这么紧致,女上一顿桩得我嗷嗷叫,女上时间很足,体力也好。换姿势后正面感觉更加紧了,bb反馈明显,又出水又收缩又夹人。最后后入出货,这次也出货轻松,舒服。 冷艳脸,紧致,口活好,科技巨乳,身材好。 #好菜 #紧致 #心尖尖

21 Aug 2026, 02:01 UTC≈1,550 views1 reactionsread 21 August 2026
Video

@muwanbb 以前都穿个家居服拍抽象,跟她说了 要擦边,擦了个大的

1

20 Aug 2026, 15:22 UTC≈2,160 views5 reactionsread 21 August 2026
Video

什么叫做tm御姐的快乐! @xiaoxiai520 @xingwan8888

5

20 Aug 2026, 07:35 UTC≈2,240 viewsread 21 August 2026
Video

@aiwoji 要不是今天约了人 我肯定去的 便宜了菜花花,让他爽到了。 报告写得挺骚,这个我也要去

20 Aug 2026, 01:44 UTC≈3,120 views6 reactionsread 21 August 2026
Photo

231 #安若溪 @gee432s 15P 七夕想简简单单吃个巨乳,看中了新来的F奶,主要就是这个常服照跟认证对照着看看感觉颜值靠谱的,就给自己安排个七夕课。 跟上面资料人照9,甜妹乖巧长相,东亚感的黄肤,滇缅混血,天然F巨乳,这个大小中算挺拔了,手感很厚实,很弹,软塌程度低,平躺仍有耸立。 性格上我以为是个内向妹子,其实蛮热情的,甜甜的,聊了蛮多。 口技很好,三件套老师中口活前排了,水中萧质量就不错,床上捧着鸡儿吃好久,轻重缓急都有。人工白虎,69敏感,舔到豆子她就停住在嘤嘤嘤。 紧度不错,很容易高潮的感觉,做爱投入,很会各种姿势上配合发力,做到中间还有个小插曲,外卖来电话了,我正要拔出,让她接,她一把压住我屁股插了回去:哥哥,你继续干呐。然后开始接电话,这种情节机会不多,趁她接电话的几秒中疯狂发力。成功让她忍不住发出半秒娇喘:你放门~啊~口就行了。 哈哈哈好玩好玩,这次出货顺利,十分钟内结束战斗。

4🎉2

19 Aug 2026, 03:00 UTC≈3,450 views6 reactionsread 21 August 2026
Photo

一番回顾 #阮秀 @xiu192 10P 时间飞快,她刚来去工兵她一下过去四个月了,她拍的视频还是肉嘟嘟的,其实感觉更偏照片,小个,瘦子,胸大、挺、天然、白,这次换了个发型,超减龄,感觉好幼态,御变萝了。 第二次来,体感上升。甜甜的,夹夹的,声音跟逼逼都是。 适配度很高的啪啪,是一个做爱充满亮点的妹子,女上技术好,花样多,我以为我姿势图鉴快点满了,但在她这还是体验到了没试过的女上姿势,看她自己女上就玩得好开心。 啪啪反馈依旧跟之前一样出彩,高潮脸、吐舌头,翻白眼、收缩的bb、颤抖的腿,嘤嘤嘤的夹子叫床、潮红的脸。 适配度很高的妹子,射完感觉透了。 #好菜 #心尖尖 #颜值

6

18 Aug 2026, 06:54 UTC≈2,590 views2 reactionsread 21 August 2026
Photo

230 #安九 @anjanj883 12P cj随机匹配得有点牛逼,刚cj完嫌我不够快不够爽的桃子,就给我匹配了一个cj史上的最脆皮ls,给我抬自信了。 人照跟认证差不多8.7,小御姐,天然美胸前排,好看的翘弹果冻C,肥硕巨臀,腰线又细,身材挺猛,黄白皮,有阑尾疤很可惜,后续可以穿个小Jk裙。 服务三件套,口活还舒服的。 bb很小很浅,触底明显,紧度OK,床感屌感都不错,反馈也不错,好脆的宝宝,做完了肚子疼得蜷缩在那,搞得我有点尴尬有点自责,自述两次黄体破裂,所以大了深了都会触发旧伤,又很长时间没开课,一来被我给强度了,扛不牢。 很前排的美胸,肥臀,敏感,无蛇,服务三件套,紧致,属于tg新人。 想二刷,但感觉她扛不住,等她耐受度上升吧。还是悠着点,桩伤就麻烦了。 PS:干休了。。。。。这个我认 #美乳 #肉身 #紧致 #脆皮

2

18 Aug 2026, 03:31 UTC≈2,380 views2 reactionsread 21 August 2026

杭州颜值嫩妹报告 https://t.me/hzyanzhi 【综合评价】:#超级好评 【妹子花名】:#JoJo 【联系方式】:@JoJobaobao 【妹子年龄】:25? 【验证留名】:@akonkk2 【验证时间】:8月17日 【大概位置】:萧山区 【修车水费】:抽奖半价+2 【高端服务】: ① 舌吻 ✅ ② 69舔逼 想做没提,比较腼腆 ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似9.5分,网感美女 【身材皮肤】:曲线,背部小纹身,皮肤观感手感 【凶器罩杯】:胸型C+?饱满有弹性,底部微科技,乳头小挺立褐色,含着很有口感 【湿度紧度】:户型紧致,颜色浅,小阴唇,白虎,水多压缩龟头 【环境细节】:交通 方便,房间仔细布置,有只小兔子 【个人卫生】:无烟味,干净整洁 【时间管理】:开课宽松,不敷衍 【服务总结】:也是吃上好菜了,情绪价值拉满 【流程小文】: 关注jojo账号可久了,这

2

17 Aug 2026, 02:34 UTC≈2,740 views3 reactionsread 21 August 2026
Video

229 #桃子 @iytnik 7P 这种小萝其实并不算我的菜,但是一直以来收到报告反馈都很好,竞拍分又高,挂i的狼友又多,群里的舔狗 粉丝又多,实在好奇,就冲了。 一冲就知道原因了。 硬件上,人照8.7,嫩妹脸,黄皮,贫乳,皮肤一般。 软件上就有点牛逼了,有种集大成者的感觉,进门蛇,沙发play,掏裆,浴室泡泡play,各种撒娇搞笑。进门三分钟给我搞立正了。 我以为是萝身御心,事后聊天才知道"xx是狼友A教的,xx是狼友B教的,xx是雨萱报告里学的,耐桩是大智凿的“原来还是个养成系。 口活甚吊,超出了这个年纪的水平(也是狼友教的),除了嗓子浅,深喉深度还浅,别的花样都不错,舔蛋水平也在线。 床上日不过,女上开始,说自己女上不大行,结果哐哐哐给我一顿桩,我被日得吐槽:你管这个叫不行。。。后入会塌腰,各种要,各种求大力,求快。老腰马达档位拉到最高了,她还在求快,让我突然有种无力感。 细节很多,玩得很开心,很有趣

3

16 Aug 2026, 18:18 UTC≈2,660 views1 reactionsread 21 August 2026
Voice message

Voice message, posted without a caption

👍1

16 Aug 2026, 03:16 UTC≈3,500 views6 reactionsread 21 August 2026
Photo

228 #星晚 @xingwan8888 8P/10P 探一下这个三超上榜的御姐。 也是一个被拍照耽误的老师,频道照片生图偏多,显得脸大,bbw,其实是个瓜子尖脸,身材凹凸有致。 175只多不少,圆盘大胸,底部科技,大上加大 手感可以,腰是腰来臀是臀。黄肤,肤质一般,颜值满意,商K水平。情绪较高。 自述新下海,体感也差不多,服务什么的有些生涩,但反馈和敏感度这边就比较高了。巨乳舔起来敏感。bb好像跟体格也关系不大,小小的。 紧度可以,特定动作能蹭到一片有褶皱感的区域,后入姿势完美,自己会塌腰,能把脸和胸都自己压在床上,撅起巨臀。没有体验女上有点遗憾,长时间不出击敏感度有点高,正入侧入后入就biu了。小马拉大车的快乐还没有体验够。 8z这样的高个御姐,硬件软件这个价位都没毛病,也不算服务系。是我会二刷的妹子。 #好菜

6

Showing the 11 most recent of 11 posts we hold for @yanzhide123. 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.

Forward network

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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“杭州CJ好声音” (@yanzhide123), 6,460 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/yanzhide123.

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.