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Channel

💖四叶草测评基地💖

@hangzhousiyecao5

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

302subscribers

+23 since we began measuring on 26 August 2026

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

Register entry

Telegram ID-1002517966850
TypeChannel
Username@hangzhousiyecao5
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded26 August 2026
Last confirmed live12 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/hangzhousiyecao5

Growth

279302290.526 August 2026 — 279 subscribers26 August 2026 — 279 subscribers27 August 2026 — 282 subscribers4 September 2026 — 290 subscribers12 September 2026 — 302 subscribers26 August 202612 September 2026
5 measurements spanning 16 days, net +23. 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 276–305 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 10:38302+12
4 Sept 2026, 15:41290+8
27 Aug 2026, 17:43282+3
26 Aug 2026, 23:15279no change
26 Aug 2026, 23:00279first reading

Engagement

19 posts held, back to 26 July 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
62.2%
avg views ÷ 302 subscribers
Avg views / post
188
4 posts measured
Reaction rate
0.403%
reactions ÷ views · ER floor
Posts in window
4
of 19 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 2 of 4 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 25 August 2026
Posts held19 (26 July 202625 August 2026)
Views total751
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Aug 2026, 23:15 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
4s
Average length
4s

Measured directly from 1 video 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

14 reactions across 12 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14100.0%

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 15 of the 19 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 26 July 2026 to 25 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

25 Aug 2026, 10:19 UTC133 views1 reactionsread 26 August 2026

店铺:#四叶草 女仆:#小小 类型:#美手玉足,温婉可人,反差御妹,长发飘飘的才女一枚,可喷水的无毛绝美户型! 出击人:#牛牛 出击时间:2025.08 环境: A,小区房 人照相似度:人照8 罩杯:胸B 身材:人瘦加之锻炼和学过舞蹈,臀翘,腹部有薄肌,站姿挺立,身形很好可惜胸不大,敏感度适中 身高:166 体重:90 皮肤:白度高,弹性正常,平滑度(正常)。 态度:S 聊天交流:带有一种江南诗人的温婉 敏感处: 背部,胸, 抽烟:无 纹身:无 唇钉舌钉:无 吻技:吻技可,舌头伸的蛮长 过程:今天小小是我的第二钟,晴晴第一钟,晴晴表现也可但是马上退役,测评则免。初见小小穿着长裙,十分符合江南女子的气质,坐下聊天后得知妹妹居然是陕西人,属实 反差太大。 妹妹蛇纹开始后配合度可,但大蟒蛇算不上,但是舌头可以伸的蛮长,解开上衣后露出盈盈可握的胸部,大约b略减一点,但是皮肤纯白,增加了几分美度,妹妹敏感处比较均衡,乳头亲上后开始有反应

1

25 Aug 2026, 09:17 UTC131 viewsread 26 August 2026

#目录 #模板 模板A 返回频道导航 #No8196 店铺:#四叶草 女仆:萱萱 类型:少女型 价格:600单钟 出击人:小哥哥 出击时间:8月23日 首次服役时间:不详 环境: 10 人照相似度:相似 罩杯:b 身材:高挑 身高:172左右 体重:90 皮肤:偏白 态度:配合 敏感处: 三点 抽烟:电子烟 纹身:无 唇钉舌钉:无 吻技:大蟒蛇 过程:复刷萱萱多次了,最近才上班,趁现在我有空过几天又要忙了!中间出了小插曲,萱萱失联了,不过最后还是联系上了,楼下看到妹妹,萱萱属于瘦高型的,一起上楼到房间后。随及一起躺床上,聊天中知道萱萱也玩金铲铲,这不是兴趣相同吗,直接开铲,此时发现萱萱是个十足的吃货,这么能吃还这么瘦,也是天赋异禀,一把游戏结束,双方也熟悉差不多了,开始轻吻,萱萱属于大蟒蛇,吻的很卖力!褪去上衣和bra,轻舔🐻部,妹妹给予回应,感觉到位会喊人,手略过小腹下探,隔裤操作,妹妹反应愈发强烈,此时堵住妹妹的嘴,不

25 Aug 2026, 09:16 UTC124 viewsread 26 August 2026

#No1866 店铺:#四叶草 女仆:#图图 💯评分标准 店铺链接: t.me/hangzhousiyecao3 店铺资料: t.me/standingmanhz/1125 类型:#大蟒蛇 #女大 #M #敏感 价格:测评价 600/h 出击人:#小哥哥 出击时间:2026.0823 首次服役时间:未知 环境: B,新场地,住宅小区,交通方便,房间温馨 人照相似度:人照9分模卡右下,白幼瘦 罩杯:B 身材:身材比较排骨 很喜欢 身高:162左右 体重:82 皮肤:皮肤光滑 敏感 态度:配合度高 尺度内拉满 敏感处:全身 抽烟:否 纹身:否 唇钉舌钉:否 吻技:大蟒蛇,管饱管够 🌱初见 四叶草上了新人图图,看照片是最喜欢的白白瘦瘦的类型,跟小草第一时间约了下午的钟,早早来到店里,路上看到刚出炉的模卡,感觉很像4月份老东西的满姐,翻阅文献看到了孔无水当时的测评,果然是她!懂了好妹妹,冲就完了! 到店妹妹头钟还

21 Aug 2026, 06:58 UTC363 views1 reactionsread 26 August 2026
Forwarded from @whointheworldamiPhoto

#No1723 店铺:#四叶草 女仆:#图图 💯评分标准 店铺链接: t.me/hangzhousiyecao3 店铺资料: t.me/standingmanhz/1125 类型:#大蟒蛇 #女大 #M #敏感 价格:测评价 500/h 出击人:#lili 出击时间:2026.08 首次服役时间:未知 环境: B,新场地,住宅小区,交通方便,房间温馨 人照相似度:人照9分模卡右下,白幼瘦 罩杯:B 身材:身材比较排骨 很喜欢 身高:160 体重:80 皮肤:皮肤光滑 敏感 态度:配合度高 尺度内拉满 敏感处:全身 抽烟:否 纹身:否 唇钉舌钉:否 吻技:大蟒蛇,管饱管够 🌱初见 四叶草上了新人图图,看照片是最喜欢的白白瘦瘦的类型,跟小草第一时间约了下午的钟,早早来到店里,路上看到刚出炉的模卡,感觉很像4月份老东西的满姐,翻阅文献看到了孔无水当时的测评,果然是她!懂了好妹妹,冲就完了! 到店妹妹头钟还未下,

1

17 Aug 2026, 11:19 UTC646 views1 reactionsread 26 August 2026

店铺:#四叶草 女仆:#梦蝶 类型:#细枝硕果,真🐻大D,美手玉足,可惜皮肤偏暗 出击人:#牛牛 出击时间:2025.08 环境: A,小区房 人照相似度:人照8 罩杯:胸C+,挺拔直立,是真牛逼,嫩妹完全不下垂 身材:人瘦但胸大,甚至还有腹肌可以摸到,臀形可,腰细,腿细 身高:168 体重:90 皮肤:白度正常,弹性正常,平滑度(正常)。 态度:S 聊天交流:较为主动,还让我点歌,妹妹清唱 敏感处: 背部,胸 抽烟:无 纹身:无 唇钉舌钉:无 吻技:吻技一般,因为妹妹有牙套,不好深吻 过程:今日随意查看,询问客服后得知还有一位大熊妹,本人就爱出击有特色之妹妹,没有特色一律pass.初见妹妹穿了白色紧身牛仔裤,十分显得腰细腿长,简单聊天后开始拥抱,妹妹主动卸上半身甲,漏出了那完全不下垂甚至昂首挺立的胸部,乳头可,乳晕大圈类型,随后开始舌吻,奈何妹妹有牙套,本人对舌吻也不做过多要求,开始对妹妹进行洗澡流吃胸,随后妹妹反手开始服务

1

17 Aug 2026, 09:28 UTC624 views1 reactionsread 26 August 2026

#No 店铺:#四叶草 女仆:#梦蝶 链接:https://t.me/hangzhousiyecao3/62078?single 类型:#超御 价格:600 出击人:小宝贝 出击时间:2026.08 首次服役时间:2026.08 环境:小区 人照相似度:人照9 罩杯:32D 身材:高挑,协调 身高:168 体重:86 皮肤:白度4.5,弹性4.5,平滑度4.5 态度:A,女友感 聊天交流:该聊天的时候话痨,该闭嘴的时候会嗯嗯 敏感处: 全部 抽烟:无 纹身:无 唇钉舌钉:无 舌吻:蟒蛇 看到新人果断出击,见面后,果然没错,就这颜值,魔鬼天使,哪怕陪我坐着聊天也值了。和摩卡相似度9,有点淡淡烟熏妆,168的个子,86的重量,偏偏挂了一对大D,杀伤力太强了。简单聊天后,事实上应该我都没听清楚妹子聊什么,只顾欣赏着妹子的美貌了。妹子看出了我的小心思,宽衣解带,独留一甲,我被眼前风景迷倒了。一对大D却一点都不耷拉,妹子说是沙漏

1

17 Aug 2026, 06:37 UTC578 viewsread 26 August 2026

#目录 #模板 模板A 返回频道导航 #No 店铺:四叶草 女仆:晴晴 类型:#邻家妹 出击时间:2026.08 环境: a 人照相似度:9 罩杯:胸B 有弹性 身材:瘦 身高:没问 体重:偏瘦 皮肤:嫩 弹性:QQ的 平滑度:丝滑 态度:A 聊天交流:不太擅长聊天 可能是我也不太擅长的关系 敏感处: 豆豆 抽烟:未闻到烟味 纹身:无 唇钉舌钉:牙套有点萌 吻技:吻技一般 较为被动 过程:第二次点晴晴了 感觉属于那种比较容易害羞的类型 问一些涩涩的问题的时候会不好意思回 答 柔柔弱弱的样子惹人疼 抱起来也是软软的 话不多但比较主动 配合度很好 不过分的要求都会满足 豆豆很敏感 不算水娃但很容易高潮 总体来说是很不错的一位小姐姐 完美符合邻家女妹妹的感觉 月底就要回去上学了 想去的同学可以抓紧时间预约了 以下为六维评分,分项目评分(严格按照评分标准打分,不要带有太多感情色彩,不要遗漏六维评分) 颜值:8 尺度:10 敏感

17 Aug 2026, 03:39 UTC917 views1 reactionsread 26 August 2026

店铺:#四叶草 女仆:#梦蝶 链接:https://t.me/hangzhousiyecao3/62078?single 类型:#超御 价格:600 出击人:BBQ 出击时间:2026.08 首次服役时间:2026.08 环境:小区 人照相似度:人照8 罩杯:D 身材:细枝硕果 身高:168 体重:86 皮肤:白度4.5,弹性4.5,平滑度4.5 态度:女友感 聊天交流:健谈不冷场 敏感处: 全部 抽烟:无 纹身:无 唇钉舌钉:无 舌吻: 配合 今天约到了新人头钟,进入房间妹妹已在等候,颜值还不错,人照8分。168的身高肯定是御姐型,一问年龄才19,反差感拉满。闲聊后立马上床迫不及待抱在一起,妹妹自动卸甲,撕下乳贴露出一对大D,蜜桃般视觉效果拉满,手感很软又不失Q弹,立马品尝一番,妹妹比较敏感马上有了反应,马上转到舌吻,随后加速在妹妹身上游走。妹妹也主动对我发起进攻,舌技+手法比较娴熟,很快让小弟弟升华,事后继续温存聊

1

16 Aug 2026, 01:18 UTC702 views0 reactionsread 26 August 2026

#No 店铺:#四叶草 女仆:#小小 类型:#温柔御姐,属性难辨 出击人:#匿名 出击时间:2025.08 环境: 酒店外派 人照相似度:人照8,真人比照片自然 罩杯:B,中度敏感 身材:人瘦,腰细,腿细,比例好 身高:165 体重:85 皮肤:较白 弹性:很弹 平滑度:很滑 态度:S,情绪价值满分,会观察你的反应给反馈 聊天交流:主动,话题源源不断,有分享欲 敏感处: 耳朵脖子中度,豆豆高度 抽烟:无 纹身:无 唇钉舌钉:无 吻技:大蟒蛇,你不停她也不停,你停了她还能继续 过程:看过很多测评以及群里分享的信息,但是本人都是以亲身体会为准,小姐姐上班比较佛系,前面2次都没约上,这回终于如愿。 见到真人脸型感觉比照片的好,气质是那种江南小家碧玉型,没有那么御,说话柔柔的会让你不知不觉卸下防备。 破冰后就是洗澡,出来已自动卸完全甲,上床后主动大蟒蛇狂吻了5分钟,听说是小M,把百战百胜的S套装拿出来,结果失效了,说好的水娃呢,无奈转

14 Aug 2026, 14:52 UTC648 views1 reactionsread 26 August 2026

#目录 #模板 模板A 返回频道导航 #No 店铺:四叶草 女仆:kk 类型:#邻家妹 出击时间:2026.08 环境: B 人照相似度:9 罩杯:胸C,稍软 身材:人瘦,臀部大,腰细,腿细 身高:162 体重:85 皮肤:正常 弹性:正常, 平滑度(选择:很糙,较糙 态度:A 聊天交流:很擅长聊天 敏感处: 耳朵脖子敏感 抽烟:未闻到烟味 纹身:无 唇钉舌钉:无 吻技:吻技一般,时间长,大蟒蛇 过程:在摩卡就相中了kk,也是跨越了二十多公里来找的妹妹,妹妹一进来给我眼前一亮的感觉,进房间妹妹先让我躺着给我身上擦拭一下,然后聊天没聊一会她就直接吻了过来,给我整的一愣一愣的,中间我都快换不过气了她还一直吻着,太訥了兄弟,妹妹很主动,我说让妹妹干啥妹妹就干啥,甲也是全卸了,第一次来摩卡体验感直接拉满 以下为六维评分,分项目评分(严格按照评分标准打分,不要带有太多感情色彩,不要遗漏六维评分) 颜值:9 尺度:10 敏感度:1

1

14 Aug 2026, 14:51 UTC644 views0 reactionsread 26 August 2026

#No 店铺:#四叶草 女仆:#梦蝶 链接:https://t.me/hangzhousiyecao3/62078?single 类型:#超御 价格:600 出击人:小宝贝 出击时间:2026.08 首次服役时间:2026.08 环境:小区 人照相似度:人照9 罩杯:32D 身材:高挑,协调 身高:168 体重:86 皮肤:白度4.5,弹性4.5,平滑度4.5 态度:A,女友感 聊天交流:该聊天的时候话痨,该闭嘴的时候会嗯嗯 敏感处: 全部 抽烟:无 纹身:无 唇钉舌钉:无 舌吻:蟒蛇 看到新人果断出击,见面后,果然没错,就这颜值,魔鬼天使,哪怕陪我坐着聊天也值了。和摩卡相似度9,有点淡淡烟熏妆,168的个子,86的重量,偏偏挂了一对大D,杀伤力太强了。简单聊天后,事实上应该我都没听清楚妹子聊什么,只顾欣赏着妹子的美貌了。妹子看出了我的小心思,宽衣解带,独留一甲,我被眼前风景迷倒了。一对大D却一点都不耷拉,妹子说是沙漏

8 Aug 2026, 04:02 UTC952 views0 reactionsread 26 August 2026

#牌局复盘 【麻友】:乌萨奇大哥哥 【棋牌室】:#四叶草 【麻将搭子】:#梵星 【搭子链接】:https://t.me/hangzhousiyecao3/58800 【台费】:500(测评价) 【胡牌牌型】:#大班 【牌局特点】:#小蟒蛇 【各项得分】:(0-10,6 为及格) 环境:8 人照:8 身材:9 皮肤:9 态度:10 敏感度:9 抽烟:无 纹身:无 各种钉:无 【综合得分】:9 【牌局体验】: 四叶草搬家后还没来过,午后收到小草急call,来了个顶美新人,据小草描述夯爆了,必须来看看怎么个事。 老小区,地面停车比较方便,上楼后,妹妹已经在沙发坐着等候,只一眼,瞬间就想进房了,奈何小草拉着抽根烟聊了聊,火速抽完烟立刻拉着妹妹进房了。老规矩,新人总归要破破冰,山东妹妹,身材和音色却完全不像,有种江南水乡的韵味。第一次接触这行,非常的紧张一直在抖,对待这种类型的妹妹只能温

Showing the 12 most recent of 19 posts we hold for @hangzhousiyecao5. 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

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

“💖四叶草测评基地💖” (@hangzhousiyecao5), 302 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/hangzhousiyecao5.

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.