Telegram RegisterThe public register of Telegram

Channel

围城(江浙沪)

@xiaodxiweicheng

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

3,091subscribers

+13 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003640887243
TypeChannel
Username@xiaodxiweicheng
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/xiaodxiweicheng

Growth

3,0783,0913,084.56 August 2026 — 3,078 subscribers7 August 2026 — 3,080 subscribers11 August 2026 — 3,087 subscribers14 August 2026 — 3,091 subscribers6 August 202614 August 2026
4 measurements spanning 7 days, net +13. 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 3,076–3,093 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 03:243,091+4
11 Aug 2026, 01:133,087+7
7 Aug 2026, 17:313,080+2
6 Aug 2026, 20:313,078first 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
64.3%
avg views ÷ 3,091 subscribers
Avg views / post
1,990
14 posts measured
Reaction rate
0.085%
reactions ÷ views · ER floor
Posts in window
14
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 9 of 14 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 total27,830
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:59 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
31s
Average length
10s

Measured directly from 3 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

19 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 89.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1789.5%
👍210.5%

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 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 19reactions 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, 04:50 UTC750 viewsread 7 August 2026
Photo

别点外卖了,送不过来了,别喝什么秋天第一杯奶茶了,球球了。

4 Aug 2026, 15:45 UTC≈1,360 views2 reactionsread 7 August 2026
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这次约了pp,早就听闻bing的大名了,到了她家楼下找了挺久的,上楼也等她收拾挺久的,因为名气非常大,所以期望值也很大。当门打开的一瞬间,发现人照7分左右吧,还是那句话期望越大失望越大。但好在硬件什么的都没什么问题,简单聊了几句,就洗漱了。 她会很仔细的洗刷你身上的每一个角落,洗的非常仔细,应该是有洁癖,还有就是检查身上有无皮肤病吧,在我思考的时候,她蹲了下去,一口含住你的巨根,卖力的吸吮着,眼睛好会盯着你,眨巴眨巴的,这杀伤力非常强啊,谁顶得住啊,没一会儿就擎天一柱了。 到了床上之后,带套,正面猛凿,她的小学非常紧致就是一指的宽度,阻尼感非常强,也不知道今天状态好,还是差,做了差不多10几分钟,最后在她的一声一声爸爸中交谁了,第二发屁屁,就不多赘述了,最后因为实在出不来手打了,对着她的小嘴狠狠撸了下去。 最后临别的时候拿了一些她家的小零食补充了一下体力。

2

4 Aug 2026, 15:44 UTC≈1,180 viewsread 7 August 2026
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舔狗日记 11/*日,天气阴天,毛毛雨。气温18℃。 我穿着蓝色牛仔外套,跟牛仔裤,驱车1小时,去见之前的上海名师。 心里非常忐忑,因为老师非常低调,没有资料,仅有范伟一篇报告。 到了目的地之后,推门进入,迎面而来,香气扑鼻,很香,黄色卷发,黑色西服,黑色包臀裙,有点像职场商业女性。脸上妆造很精致,偏网红一些,桌上摆满了寿司,很丰盛,还有星巴克。 那双眼睛,很迷人,仿佛会说话一般,眼角一点泪痣,很勾魂。这一桌子的菜,佳人相伴,聊的很开心。 洗漱一番,她在厕所盯着我看,我这个人比较害羞,她直勾勾盯着我,我老脸一红呀,她打趣道,你居然会害羞,哈哈哈哈哈哈哈哈。我洗完之后,这小妮子居然直接关厕所门,切你不是比我还害羞嘛,还好意思说我。 我在床边擦拭的脚上的水渍,她穿着丝绒睡衣,走进了卧室,躺在了我的身边,我像拆礼物一样,一点点解开了,她的蝴蝶结,扑通扑通,咚咚咚声,我一口肥

4 Aug 2026, 15:44 UTC≈1,090 views0 reactionsread 7 August 2026
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阳光刺眼,熙熙攘攘的人群,拥挤的街道,我穿梭在车水马龙的街道上,买好了麦当当,带上礼物,轻车熟路的停到了她家楼下。 我叩响了她的大门,迎面而来的是穿着一身黑色薄纱蕾丝丝绸亮光质感睡衣,深邃迷人的眼睛,高挺的鼻梁精致网红脸庞,乌黑亮丽的头发,不知道的以为这是回家了呢 你来了宝宝,快进来。我放好麦当当。快来吃宝宝,你最近怎么样……我有一句没一句的打开她的话匣子,觥筹交错,杯光见影,有说有笑的聊着天。。。 酒足饭饱,洗漱过后,她穿着睡衣进来了,她躺在我的边上,有一丝恍惚,我是回家了,她是我对象。 我一点点亲吻着她她的朱唇,另一只手慢慢爬山葡萄支架,去摘那颗成熟的葡萄,又从葡萄支架上慢慢滑落去探索那百草园。 ………她如八爪鱼一般死死扣住我整个人,她的喘息声,呼出的热气一丝一丝传入我的耳朵,进入我的脑袋…… 一阵天旋地转之后,我已经忘了我是我,我在哪,我是来干嘛来的……… 她还是她,依然的美丽动人可爱。温婉。如果时间可以慢一点,再慢一点就

4 Aug 2026, 07:25 UTC≈1,100 viewsread 7 August 2026
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这次去了宁波找她(对象),可能最近几个月会在杭州开。就是上面这个2500没舌,别问了,我对象,想操?等着吧。

3 Aug 2026, 11:45 UTC≈1,280 views0 reactionsread 7 August 2026
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这次我们要介绍的是富二代美女,出来体验生活,她本身就有性瘾 对做爱这个东西呢,跟我们一样,都是病人,既能治病,又能赚钱,何乐而不为。 认识她是在北京的一个老师群里,说是素人也不为过,天天约课还要问别人帅不帅,感觉是她来挑人一样,跟她聊了有小半年吧,去年11月份来了上海,我就偷偷拿小号去出击他。嘿嘿,她应该想不到吧。 到了她家门口了,她盯着我痴痴的笑,问我热不热什么的,有一句没一句的回她,她突然蹦出来一句,我们是不是好像哪里见过了,我心里咯噔一下,完了,认出来了,专业的演员是不能笑场的,除非忍不住,我一脸严肃,没有,别人都说我大众脸,可能跟某个路人甲撞脸了吧。 洗漱过后,我们躺在床上,她有点害羞,不让舌吻,等渐入佳境之后,她骚话连篇,会打开小学让你不停进攻,会让你切换姿势猛猛输出,因为是pp,第二炮时间非常久,事后她表示头晕了,还不停的给我发消息,来确定是不是我,嘿嘿 我常年手机静音,你肯定不知道我啦。 爽过之后非常得劲啊,约炮就

3 Aug 2026, 07:21 UTC≈1,100 views2 reactionsread 7 August 2026
Forwarded from @yigechuanmei2Photo

Photo, posted without a caption

👍2

3 Aug 2026, 06:57 UTC≈1,190 viewsread 7 August 2026
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好好享受生活,发现嫖娼的钱可以吃一个月。

2 Aug 2026, 10:32 UTC≈2,930 views3 reactionsread 7 August 2026
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酒足饭饱思淫欲,兄弟们一定得记住了咯,人不能吃的太饱,要不然容易吃饱了没事干,洗漱过后,没事看tg,一个小烧杯后台私信我,都怪自己自制力太差,穿上裤子就开一小时车去找她了。 到了老师家楼下,肚子疼死了,总不能找个公厕就走吧,直接到老师家,推门,放钱,厕所,一气呵成。 爽完了之后,我坐在沙发上,老师不停的挑逗我,指划不错,很酥麻的感觉,人照一致,她说我们开始上班吧,男人脱裤子永远是最快的,哈哈哈哈。 到了床上,老师比较怕痒,也很敏感,没一会儿豆豆起立了,我一只手,一点点探索他的花园,她穴口比较紧致,水很多。 以下我知道你们不爱看,省略一万字。事后,看着床单上的水渍,怔怔出神,我有这么厉害吗,她挺耐艹的,后腰上有个继续,也是个小魅魔了,她给我递来了水和冰杯,真爽,她的口技是很用力,且很有包裹感并很认真的在吃你。 我们随后聊了一下,她说她可以一天接10个,那也是挺厉害的,天生桩基圣体,体力好的可以来体验一下咯。搞死他。 @babia

3

31 Jul 2026, 04:13 UTC≈2,140 views2 reactionsread 7 August 2026
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推门而入,yuki坐沙发上,是奶糕给我开门的,身上香水味,沁人心脾,yuki皮肤非常白,白白嫩嫩的,像邻居妹妹,非常可爱,有点大学生味道。奶糕呢,御姐风,非常外向开朗,因为经常健身,身材非常好,有马甲线。 我自觉的坐在餐桌边,我不敢坐到他们俩中间,我怕,羊入虎口,奶糕一直拍着沙发,来嘛来嘛,中间给你坐中间给你坐。 这位置能坐的啊,大姐,坐了今天我估计不是吃饭这么简单的事儿了。 经过一次一次的心里建设,我还是半推半就坐到了中间,左边奶糕,右边yuki,yuki那低胸装,呼之欲出的大白兔。左边仿佛要把人随时吃掉的奶糕,我脑子一片空白,也不知道哪根搭错了,情不自禁的直接摸了上去,她满脸错愕,我一脸懵逼。 她随后一笑,人之常情嘛,我懂得,随后跟我说她胸超大的,就把衣服撩起来了 ……大真的大,笑死了,太狂野了。 随后我们去吃饭,去吃了乔街,一路上聊了很多故事,跟未来的一些规划。对于他们来杭州开3-5天我是很费解的,我希望他们能留下来常开,

2

24 Jul 2026, 17:34 UTC≈2,880 views4 reactionsread 7 August 2026

台风将至,我心如铁坚不可摧,心有所想,使命必达,冥冥之中,缘分自有天意。 带了两杯上海没有的奶茶人肉给老师带奶茶 。 老师准时准点回复我,这点我很诧异,一般都是晚点的多,大多数老师基本罚站,现在天气这么热,真的希望大多数“老师”能准时准点。 小区非常的大,不好找,但是我有缺德地图,没一会儿就到老师家了。老师就跟照片里面的一样,穿了一身白衣,居家气息比较重,家里放了音乐,有点家的感觉。 我将奶茶放桌上,迫不及待的脱了衣服,因为实在太热了。跟老师攀谈起来,聊了一下日常,过往,以及对未来的期许。 简单洗漱过后,她细心的帮我擦拭身上的水渍,我躺好,看着她那曼妙的身姿,俩颗圆润笔挺的乳房,圆润且富有弹性的大屁股,她穿上了连体黑丝(开档,我不是很喜欢,但是可以尝试一下,所以没跟老师说。),看上去非常性感,我亲吻了她的嘴唇,没一会儿她就让我亲胸,她说比较敏感。我一只手揉捏她的乳房,一只手,抚摸她的小学。没一会儿,手上就黏糊糊的。 戴好小伞,开

4

Showing the 12 most recent of 14 posts we hold for @xiaodxiweicheng. 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 — 261,545 of 1,350,102entries 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.

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.

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

“围城(江浙沪)” (@xiaodxiweicheng), 3,091 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/xiaodxiweicheng.

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.