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Channel

桃酥🍑后花园

@taosu1998

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

427subscribers

+57 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003944680357
TypeChannel
Username@taosu1998
CreatedBetween 1 April 2026 and 18 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/taosu1998

Growth

370427398.58 August 2026 — 370 subscribers9 August 2026 — 382 subscribers15 August 2026 — 427 subscribers8 August 202615 August 2026
3 measurements spanning 8 days, net +57. 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 361–436 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 20:23427+45
9 Aug 2026, 00:53382+12
8 Aug 2026, 08:01370first reading

Engagement

14 posts held, back to 18 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
257.9%
avg views ÷ 427 subscribers
Avg views / post
1,100
12 posts measured
Reaction rate
0.11%
reactions ÷ views · ER floor
Posts in window
12
of 14 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 6 of 12 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 7 August 2026
Posts held14 (18 July 20267 August 2026)
Views total13,215
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 08:01 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.

Reaction mix

8 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8100.0%

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 6 of the 14 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 18 July 2026 to 7 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

7 Aug 2026, 06:36 UTC234 views1 reactionsread 8 August 2026

杭州半套馆测评模板:https://t.me/spa_union 【出击时间】: 8月6日 【出击老师/商家】:#桃酥/ @taosu099 【出击留名】: 小伟 【开课位置】:滨江区 【修车水费】:400P 【人照评分】:8.5 【颜值评分】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:9 【综合评分】:9 【服务点评】:妹妹口技一流,一对大奶让我爱不释手,服务跟时间一点都没打折扣!性价比无敌 【过程描述】: 环境卫生:小区房没门禁,房间整洁温馨 初见印象:第一眼就看到了雪白的大白兔 深入了解:真正是服务型 情绪价值:全身放松😎。嘎嘎爽 总体印象:性价比高!服务无敌!妹妹可爱😍 直得二刷,好像还可以98 忘记问了 流程细节:进门就看到雪白的大奶子,捏了两下然后赶紧去洗澡。出来全自动擦干,上床后给擦脚。再趴下之前先给妹妹卸个甲,先脱性感小内内,摸了下小妹妹,再脱内衣,肉球就弹出来了。 趴着

1

4 Aug 2026, 07:43 UTC610 viewsread 8 August 2026

【位置坐标】: 杭州滨江区 【验证留名】:贵哥 【女神花名】: 桃酥 【验证时间】:2026.8/3 【修车水费】:700P 【凶器罩杯】:C+ 【体验细节】:决定去体验一下,提前约了P,按照她给定位到达,很好停车,我迟到了3分钟,停好车后直接上楼,没有罚站,开门一身包臀裙,大胸引入眼帘,背对着我弯腰给我拿水和一次性浴巾的时候,白白的屁股直接就露了出来,当时就硬了,以为没穿内裤,这么骚的吗,洗澡完出来,老师非常会撩人,特骚,就像是多年未见的情人一样,一对柔软的大白兔在我身边游荡,果然是一绝啊,超级爽,老师的小嘴和舌头是真的牛,毫无齿感让我忍不住想射出来。老师吮自己手指的那个表情绝了,和AV电影一摸一样,就像到了片场一样,老师说她自己受不了,想我操她,带上雨伞后扒开小穴,插入,老师小穴,水量可以,很湿润,她和我说对我很有感觉,我也不知道是不是真的,反正湿答答,然后变换姿势,舒服的忍不住,射了,抽支烟,聊天洗澡走人,骨子里的骚,

1 Aug 2026, 06:03 UTC921 views1 reactionsread 8 August 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】颜值身材均在线,肉感极强、口技顶级、阴道湿热紧致包裹感一流、节奏掌控完美、叫床真实又骚、服务投入度高,小穴浅,敏感,日感好 【不足】暂无明显缺点(可能对极瘦身材控吸引力稍弱,但对喜欢丰满肉感的玩家是顶级享受)。 【妹子花名】:#桃酥 【联系方式】:@taosu099 【妹子年龄】:25+ 【验证留名】:强盛的盛 【验证时间】:7月31日 【大概位置】:滨江 【修车水费】:1400pp 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 没要 【人照相似】:人照9分和频道视屏完全一致,颜值很乖的一个丰满且不显胖类型,穿搭也在线 【身高身材】:身高165,体重50kg左右,s身材大长腿无敌,皮肤白皙透粉,有小纹身 【凶器罩杯】:天然B罩杯,乳头粉嫩,乳头和乳晕

1

26 Jul 2026, 08:22 UTC≈1,260 views1 reactionsread 8 August 2026

哥哥们!老号掉了,刚换的新号,联系我这个号 @taosu099

1

24 Jul 2026, 04:50 UTC≈1,570 views1 reactionsread 8 August 2026
Forwarded from @HZdianping

杭州开课小助理分享: 颜值:9 身材:9 服务:10 时间:7.22 联系方式:@taosu098 细节:憋了大半个月,今天总算得空,必须得出击一趟泄泄火。翻了翻群里面,锁定了桃酥老师,看着就来电,约好时间直接杀过去。 进门老师挺热情,轻声细语的,一点不尴尬。身材确实顶,前凸后翘没啥赘肉,穿了件小制服,那感觉“噌”一下就上来了。简单聊两句直接去洗白白,老师很仔细,搞得我都有点不好意思了。 上床服务是重头戏,先趴着做背面,老师的舌头是真会玩,指滑、漫游、胸推整得明明白白,浑身酥麻麻的。毒龙也到位,不敷衍。翻到正面更来劲,从上舔到下,尤其口活那两下子,直接给你整根没入,还带旋转的,差点没绷住。 看时间差不多了,戴上雨衣开搞。老师女上很有东西,坐上来那几下扭得,感觉魂都要被吸走了,跟看大片儿似的。赶紧让她换个姿势,后入拍拍屁股,那声音听着就带劲。最后传教士收尾,抓着大灯一顿冲,123交出作业。 完事儿不催人,还跟老师聊了会儿天,态度

1

23 Jul 2026, 07:00 UTC≈1,570 views3 reactionsread 8 August 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】服务型 大长腿。屁股大 胸大 【不足】 【妹子花名】:#桃桃酥 【联系方式】:@taosu098 【妹子年龄】:25+ 【验证留名】:啊盛 【验证时间】:7月22日 【大概位置】:滨江 【修车水费】:700p 【高端服务】:有的打✅ ① 舌吻 ✔️ ② 69舔逼 ✔️ ③ 情绪价值 ✔️ ④ 毒龙 ✔️ 【人照相似】:人照相似程度8.5分,颜值9分,气质好/穿搭性感 【身高身材】:身高165,大腿长,无纹身,皮肤光滑细腻 【凶器罩杯】:C罩杯,乳头粉嫩,手感柔软有弹性 【湿度紧度】:比比蝴蝶型的,粉嫩,水超多,很紧度,毛量一般 【环境细节】:交通便利/出入方便,房间整洁 【个人卫生】:不抽烟,有漱口水/牙刷/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务点评】:

3

20 Jul 2026, 05:08 UTC≈1,730 views1 reactionsread 8 August 2026

🐴杭州无内鬼报告模板2.0 【位置艺名】:桃酥 【联系方式】:@taosu098 【喝茶留名】:大力 【喝茶时间】:7月19日 【喝茶价格】:700P 【芳龄身高】:小少妇/165 【罩杯手感】:C🐻 弹性强 【服务内容】:都有 【优点缺点】:服务卖力 不机车 【体验细节】:约好时间,到地方遥控上楼,见面看到老师,让我眼前一亮,桃酥老师和照片上面差不多好看.便脱衣服和老师洗澡去了,陪浴时老师还是十分细心的,背也有照顾到,C真胸手感很好,围还是不错的,老师比较健谈,和她聊天给我的感觉就很舒服,不是那种为了情绪价值而一直迎合着你的那种,就好像认识好久的朋友之间的畅聊,好久没有碰到聊天这么舒服的老师了,洗完澡后擦干身子躺床上等进入正题,老师舔胸起手,一路向下,一路亲着过去,口起来太TM爽了,我提出了69,也是欣然接受,粉粉嫩嫩秀色可餐,得好好品鉴一翻,没有异味,挺不错的,老师又接着给我口了,时不时来个深喉,时不时舔一下蛋蛋,欲仙欲死

1

Showing the 12 most recent of 14 posts we hold for @taosu1998. 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 — 573,218 of 1,480,975entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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

“桃酥🍑后花园” (@taosu1998), 427 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/taosu1998.

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.