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Channel

苏州桃花坞报告

@thwbaogao

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

49,015subscribers

+33,044 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002840806474
TypeChannel
Username@thwbaogao
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 26 October 2026
On Telegramt.me/thwbaogao

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 83% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

12,11049,12730,618.57 August 2026 — 15,971 subscribers8 August 2026 — 15,600 subscribers9 August 2026 — 15,278 subscribers10 August 2026 — 15,043 subscribers11 August 2026 — 14,832 subscribers12 August 2026 — 13,574 subscribers13 August 2026 — 13,194 subscribers15 August 2026 — 12,954 subscribers16 August 2026 — 12,702 subscribers17 August 2026 — 12,469 subscribers18 August 2026 — 12,335 subscribers19 August 2026 — 12,225 subscribers20 August 2026 — 12,110 subscribers22 August 2026 — 26,313 subscribers23 August 2026 — 26,244 subscribers25 August 2026 — 26,049 subscribers26 August 2026 — 25,801 subscribers27 August 2026 — 25,667 subscribers28 August 2026 — 25,607 subscribers29 August 2026 — 25,380 subscribers30 August 2026 — 25,279 subscribers31 August 2026 — 25,149 subscribers1 September 2026 — 25,005 subscribers2 September 2026 — 24,908 subscribers3 September 2026 — 24,745 subscribers4 September 2026 — 24,630 subscribers7 September 2026 — 24,261 subscribers10 September 2026 — 24,046 subscribers12 September 2026 — 23,862 subscribers14 September 2026 — 23,656 subscribers15 September 2026 — 20,425 subscribers18 September 2026 — 20,312 subscribers30 September 2026 — 19,567 subscribers5 October 2026 — 19,053 subscribers10 October 2026 — 18,825 subscribers13 October 2026 — 18,623 subscribers14 October 2026 — 18,520 subscribers15 October 2026 — 18,492 subscribers17 October 2026 — 18,425 subscribers17 October 2026 — 18,393 subscribers19 October 2026 — 18,349 subscribers19 October 2026 — 18,321 subscribers21 October 2026 — 18,282 subscribers22 October 2026 — 39,677 subscribers23 October 2026 — 49,127 subscribers24 October 2026 — 49,069 subscribers25 October 2026 — 49,055 subscribers26 October 2026 — 49,015 subscribers49,0157 August 202626 October 2026
48 measurements spanning 79 days, net +33,044. 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 6,557–54,680 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
26 Oct 2026, 02:4149,015-40
25 Oct 2026, 04:1649,055-14
24 Oct 2026, 06:3549,069-58
23 Oct 2026, 04:2649,127+9,450
22 Oct 2026, 07:2639,677+21,395
21 Oct 2026, 02:1818,282-39
19 Oct 2026, 22:0718,321-28
19 Oct 2026, 01:0618,349-44
17 Oct 2026, 23:3618,393-32
17 Oct 2026, 00:5918,425-67
15 Oct 2026, 22:4918,492-28
14 Oct 2026, 22:5118,520-103
13 Oct 2026, 17:2718,623-202
10 Oct 2026, 00:3618,825-228
5 Oct 2026, 18:3619,053-514
30 Sept 2026, 03:5719,567-745
18 Sept 2026, 03:5520,312-113
15 Sept 2026, 23:0020,425-3,231
14 Sept 2026, 05:2023,656-206
12 Sept 2026, 16:1823,862first reading

Engagement

337 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.41%
avg views ÷ 49,015 subscribers
Avg views / post
1,180
63 posts measured
Reaction rate
0.063%
reactions ÷ views · ER floor
Posts in window
63
of 337 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 11 of 63 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 October 2026
Posts held337 (6 August 2026 – 25 October 2026)
Views total74,341
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 20:00 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 10s
Average length
12s

Measured directly from 6 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

28 reactions across 25 posts, in 3 distinct kinds. The most used accounts for 92.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2692.9%
💩13.57%
😴13.57%

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 34 of the 337 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 337 most recent posts we hold, published 6 August 2026 to 25 October 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 Oct 2026, 15:45 UTC49 views0 reactionsread 25 October 2026
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【时间】:2026-10-25 【老师】:苍井 【留名】:HisnameisWagner 【人照】:8.8 【颜值】:8 【身材】:8.5 【服务】:10 【态度】:10 【环境】:10 【综合】:9.22 【过程】:今晚喝了一两白酒,想出击,结果看到苍井老师,1p还有优惠,结果就去了,觉得整体风格挺合我审美,就直接约了。老师住在一个小区里,环境还算干净舒适。约的十点半,我十点二十就到了,因为是在开课教室,我提前到了,开门就是一个大大的拥抱,映入眼帘的是熟悉的少妇型身材——皮肤光滑细腻, 简单寒暄几句后,老师就带着我去洗澡了,我当然也不能闲着,洗澡摸着奶子,老师用胸在我后背摩擦,当然是打了沐浴露,摩擦完,老师直接蹲下给我口,那口的叫一个舒服,洗好后老师给你擦干。 上床后,先b后a。毒龙配合吸皮,还加上自行车姿势,整个人瞬间放松下来。她嗦得我一阵阵发酥,毒龙也快顶不住了。特别是毒龙比较舒服,小舌头一直往里面顶,喜欢的一定得亲自来试…

25 Oct 2026, 13:38 UTC≈1,070 viewsread 25 October 2026
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工兵专用模板: 【时间】:2026.10.25 【老师】: @abcdewxq 静灵 【留名】:soi6街溜子 【人照】:8.5 【颜值】:8.5 【身材】:8.5 【服务】:8 【态度】:8 【环境】:8 【综合】 老师教室在新区著名的公寓,抢到工兵如约来到地点,由于前一个大哥拖堂,在下面等了十来分钟,进到教室后,老师和照片差不多,介于嫩妹与御姐之间,闲聊两句开始洗澡,简单洗完,上床开始,御姐三件套,吹了会直接带套干,妹子被上个哥们时间干长了,服务有点打折,体力不行,女上已经没力气了,整体情趣价值还行,啪啪反馈也可以,水不少,换了两个姿势缴枪洗澡走人,整体推荐刷一刷的

25 Oct 2026, 11:31 UTC≈1,130 viewsread 25 October 2026
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【时间】:2026-10-25 【老师】:柠檬茶 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:8 【服务】:10 【态度】:9 【环境】:8 【综合】:8.83 【过程】:陪浴,然后AB面时间很长,全身每一寸角落都有,du的时间很久。服务态度很好。 【总结】:

25 Oct 2026, 10:10 UTC202 viewsread 25 October 2026
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【时间】:10.25 【老师】: @yyyiua6 【留名】:叶良辰 【人照】:8.5 【颜值】:8.5 【身材】:8.5 【服务】:8.5 【态度】:8.5 【环境】:9 【综合】8.58 【过程】老师属于瘦小型,颜值中上,皮肤没我白,胸B挺软,下面毛不多,户型很润,老师感冒了没有🐍没有亲。脱衣一起洗澡,然后直接进入主题,老师挺活泼的,找话题聊。服务过程中给舔胸,给口,口活不错,硬了后直接带套开干,女上起手,随后转成后入,下腰视觉感觉不错,后入有反馈,感觉挺不错。瘦小型的还是得多后入,推荐! 【总结】老师之前干快餐的,懂的还不是很多,需要广大狼友多多调教,是个好苗子,整体感觉还不错,快点去冲!

25 Oct 2026, 09:43 UTC≈1,150 viewsread 25 October 2026
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【时间】:2026-10-25 【老师】:林婉婉 【留名】:davidmarsk 【人照】:9.5 【颜值】:10 【身材】:9 【服务】:9.5 【态度】:10 【环境】:9.5 【综合】:9.58 【过程】:今天难得的好天气,闲来无事,遂欣赏最近的老师,当划到婉婉老师时,被老师的颜值惊艳,当即联系老师约课,匆匆赶到后,一进门,老师便微笑着迎接,眼前一亮,老师人照一致,并无什么区别,皮肤微微偏白,黑色小披肩,白色长裙,给人一种领家姐姐的初恋感,随即交水费,沐浴,全程老师帮洗,面面俱到,擦干水上床,迫不及待的抱着老师啃嘴子,后老师口的很温柔舒服,硬的不行了,立马带上进入,桩了老师许久,便啃嘴子边桩,约摸10分钟后出货,结束后老师再次帮忙清洗,最好依依不舍的离开,值得二刷,最后希望老师多吃饭多长肉,要是再多点肉,那摸上去手感会更好 【总结】:人照一致,所见即所得,颜值高,待人温柔,就是老师有点瘦,偏骨感,值得二刷

25 Oct 2026, 09:42 UTC104 viewsread 25 October 2026
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【时间】:2026-10-25 【老师】:林婉婉 【留名】:CC_edgeX 【人照】:8 【颜值】:8.5 【身材】:9 【服务】:7 【态度】:10 【环境】:9 【综合】:8.58 【过程】:看到有新上老师,看照片心动,也有白嫖拍卖,但我有自知之明啊,我抢不过,就自费冲了。 先说脸,算好看,但没达到顶美,路上也会回头看一眼那种,脸涂的比较白,实际上是浅黄皮,颈部下方有个小纹身。 再说身材,以瘦为美的时代,是好身材了,对我来说太瘦了,没一点肉,竹竿腿,皮肤略粗糙。胸部是没发育的状态,还没我的一半大呢。 最后,服务的话,我个人原因,没体验,但应该就是嫩妹三件套水平,昆感一般,没达到嫩妹水平,略松。 好评的是妹子很开朗,四川的老师都挺开朗的,聊天氛围很不错。 总结,非常瘦,0胸,浅黄皮,性格开朗的嫩妹。 【总结】:非常瘦,0胸,浅黄皮,性格开朗的嫩妹。

25 Oct 2026, 08:45 UTC≈1,130 views1 reactionsread 25 October 2026
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工兵专用模板: 【时间】:10/25 【老师】: 慧慧 @HQHhuihui 【留名】:再来一杯冰美式 【人照】:7 【颜值】:7 【身材】:7 【服务】:7 【态度】:7 【环境】:7 【综合】7 【过程】: 偶尔刷到老师,刚好早上有些晨勃,那2张吃个嫩妹应该不过分吧;遂联系管理约时间出击;进门,一个有肉嫩妹,哈哈,皮肤还可以,四川出品的老师整体皮肤还不错,整体没啥服务,无kiss,舔奶,奶头也不让摸,fine,fine,也不要求多的啦,口了几下后,dt开干,紧度喜人,确实阻尼感很强,稍微插几下都要射的水平,但该有姿势还得有,后入不错,爸爸爸爸的叫着,最后传教士吃货;

❤1

25 Oct 2026, 04:36 UTC≈1,210 viewsread 25 October 2026
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【时间】:2026-10-25 【老师】:苍井 【留名】:马赫 【人照】:7 【颜值】:7 【身材】:8.5 【服务】:9 【态度】:9 【环境】:8 【综合】:8.08 【过程】:朋友出击回来强烈向我推荐,说老是服务特好还骚,立马就约了课,依然遥控指挥进入教室,老是穿着性感蕾丝情趣。交了水费后依然开始了令人着迷的鸳鸯浴,其中的水中萧更是销魂。上床后开始和正反面的服务,老是口活可以,口了会要求69互舔了一会,老是的BB水很多。要求先女上,老是大长腿,一遍看着老师上下深蹲抽插一遍揉捏着大奶子甚是享受。后有换了后入,桩了一会,忽然老师下体一阵抽搐,瞬时射出了全部库存,真是爽死了。最后还给我全身洗干净。 总结:老师年龄30左右,照片稍有偏差,身材好,大长腿,胸大,服务态度好。 【总结】:总结:老师年龄30左右,照片稍有偏差,身材好,大长腿,胸大,服务态度好

25 Oct 2026, 03:54 UTC156 viewsread 25 October 2026
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【时间】:2026-10-25 【老师】:元宝 【留名】:渣渣A 【人照】:8 【颜值】:8 【身材】:8 【服务】:9.5 【态度】:9.5 【环境】:9 【综合】:8.67 【过程】:地方在小区很好找,进门先快速冲了个澡,然后就是老师轻柔地按摩(可以要求力度,但毕竟是放松不是盲人按摩),老师说话很温柔普通话也很标准(这点加分,个人听到一些奇奇怪怪的方言会有点不舒服)会问你力度够不够温度合不合适,服务过程会陪你聊天手法很舒服,最后超时了也没有催,第一次体验有没有用目前为止但确实很放松生理和心理都很愉悦😊 【总结】:冲态度和服务,以后还会来的,也想验证一下抓🐉筋有没有用

25 Oct 2026, 03:51 UTC≈1,180 viewsread 25 October 2026
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【时间】:2026-10-25 【老师】:小宝贝 【留名】:小鱼儿 【人照】:8.5 【颜值】:8.5 【身材】:8.5 【服务】:9.5 【态度】:9.5 【环境】:9 【综合】:8.92 【过程】:无聊和花无缺兄弟 探讨附近老师巧了刚好小宝贝老师和闺蜜都还没睡觉 然后就一起约了老师本人其实比照片要好看 进去看到本人完全就是一个青春靓丽的美女,小宝贝老师是穿着jk和黑丝迎接我的,随后聊聊天和老师洗完上床服务。其实感受下来老师有点谦虚了,会舔会做,随后戴套插入挺滑的。果然还是得插入,一插入老师就浪叫起来了,听的我心潮澎湃一边做一边揉小宝贝的大奶子,腰细但是屁股大胸大的身材,胸跟大馒头一样,又圆又挺拔。换后入一边抽插一边拍打大屁股还是很爽的 【总结】:8.8

25 Oct 2026, 03:51 UTC≈1,150 viewsread 25 October 2026
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【时间】:2026-10-25 【老师】:夏天 【留名】:花无缺 【人照】:8 【颜值】:8 【身材】:8.5 【服务】:9 【态度】:9.5 【环境】:8.5 【综合】:8.58 【过程】:闲来无事,刚好小鱼儿兄弟来苏,这下不是巧了吗哈哈,绝代双娇共同出击一次,本来约的小宝贝老师,准备来个双龙戏凤,去了过后发现小宝贝跟夏天是闺蜜,经过商议小鱼儿选择了小宝贝我则是跟着夏天老师亲密肉搏了一次,说实话老师比较健谈也很放得开,两个老师不停的夸赞我与小鱼儿的帅气不凡此处省略三万字,随后老师跟我洗澡开始服务,说实话别的不说,服务这一块真的很顶,先是B面,夏天老师的毒龙是真的不错顶的很深,情不自禁的叫了起来,老师说自己是一个大骚逼问我是不是小骚唧唧我被老师调戏的脸红,随后给我来了一个倒挂金钩爽歪歪。进行A面开始口的时候奈何我的好兄弟小鱼儿已经在小宝贝老师的攻势下败下阵来,我只好勉强提枪上阵,为了不让好兄弟等的太久123结束。随后抽了老师的烟…

24 Oct 2026, 16:14 UTC≈1,150 views1 reactionsread 25 October 2026
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【时间】:2026-10-25 【老师】:树叶 【留名】:嗦脚boy 【人照】:9 【颜值】:9.5 【身材】:9.5 【服务】:9.5 【态度】:10 【环境】:9.5 【综合】:9.5 【过程】:树叶妹妹本人其实比照片要好看,身材也不像照片那样有点肉肉的。进去看到本人完全就是一个青春靓丽的小嫩妹,也不知道课表为啥标23,感觉18差不多。 树叶妹妹是穿着jk和黑丝迎接我的,本人还挺容易害羞,看到妹妹羞涩的脸庞配合着装扮一下子就硬了。随后和妹妹一起洗澡,洗完上床服务。妹妹还羞涩的说口活不太会,其实感受下来妹妹有点谦虚了,会舔会裹,其实还不错的。69是有的我没做,随后戴套插入,嫩妹还是挺紧挺滑的。果然还是得插入,一插入妹妹就浪叫起来了,听的我心潮澎湃,就和妹妹舌了起来,不是大蟒蛇但是也配合。 舌完一边做一边揉树叶妹妹的大奶子,树叶妹妹属于那种肉不多腰细但是屁股大胸大的身材,胸跟大馒头一样,又圆又挺拔。换后入一边抽插一…

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Showing the 12 most recent of 337 posts we hold for @thwbaogao. 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 26 October 2026 — this entry's latest reading, not the date you are reading this.

“苏州桃花坞报告” (@thwbaogao), 49,015 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/thwbaogao.

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.