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Channel

西安树洞•故事汇

@XASDGSH

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

1,037subscribers

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

Register entry

Telegram ID-1003988294944
TypeChannel
Username@XASDGSH
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 September 2026
Last confirmed live29 September 2026
Measurements held1
On Telegramt.me/XASDGSH

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Sept 2026, 09:221,037first reading

Engagement

12 posts held, back to 19 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
67.7%
avg views ÷ 1,037 subscribers
Avg views / post
702
12 posts measured
Reaction rate
0.492%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 10 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 29 September 2026
Posts held12 (19 September 2026 – 29 September 2026)
Views total8,425
Reactions total35
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 09:22 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

Photos
16
Links
3

Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

35 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 20.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤720.0%
👍720.0%
😨720.0%
😱720.0%
🤣617.1%
😁12.86%

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 10 of the 12 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 35 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 19 September 2026 to 29 September 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

29 Sept 2026, 06:14 UTC200 views6 reactionsread 29 September 2026

#洞友投稿 转发某位大V 做个简单开局甄别老师会不会下菜的 1.进门就只玩手机招呼也不打的,放下手机就是要收钱的 2.精神状态不佳看着就萎靡不振的,妹子状态都不好的情况哪怕她有性瘾的这时候估计也没兴致 3.你跟她说话她都有一句没一句的回的,脸上挤不出一点笑容的 4.房间脏乱差的 中了一点如果你本身就在犹豫的话就赶紧走吧,不要想着来都来了或者你放不下面子硬着头皮上了那就只能是钱也花了还买回来气愤和后悔。不要觉得转身有什么不好意思的,本来就是陌生人或者这辈子都不会在见面的人没必要为了一点面子花钱买教训。况且这些老师估计自己也经常被转身早就习惯了,你走了她都不知道你长啥样。 当然这些只能甄别百分之八十的做不到百分百如果还有狼友想到其他的欢迎补充 再说说优秀的老师的开头 1.进门就微笑着打招呼,关心一下狼友冷不冷热不热之类的寒暄话,分享一些趣事 2.主动去挽着狼友的手靠在狼友的肩上,毕竟等会都要进入身体。挽个手这也没…

❤4👍2

28 Sept 2026, 15:36 UTC451 views0 reactionsread 29 September 2026
Photo

#洞友投稿 心疼洞友一秒🤣被骗子骗199 洞友原话: 听说不管被谁骗了都能找正主,卡面哥给我发个200老师优惠🤣

28 Sept 2026, 11:59 UTC561 views0 reactionsread 29 September 2026
Photo

🎰 国庆西安福利大放送 📮 参与条件: 🪪 必须设置用户名 🎫 加入-西安玩乐即时资讯 🎫 加入-西安树洞•故事汇 🎫 加入-西安狼友出击情报站OvO └ 🎟️ 发言数大于 8 条 🎫 加入-《西安狼友出击指南》 🎫 加入-西安扫街站街妹相册-仙踪林 🎫 加入-西安扫街站街妹相册群-仙踪林 └ 🎟️ 发言数大于 8 条 🎁 奖品内容: 💰️ 1️⃣688现金红包 × 1 💰️ 2️⃣168现金红包 × 2 💰️ 3️⃣68现金红包 × 4 💰️ 4️⃣《出击指南》通用金卡 × 4 💰️ 5️⃣《出击指南》通用银卡 × 6 ⚠️ 抽奖说明: 🥹国庆来西安不知道怎么玩,西安树洞联合《出击指南》和仙踪林将给您最优解。 🌺不论是楼凤扫街、会所商K、外围外卖、地陪包养、私影丝足、按摩spa、小树林甚至包括西安美食,我们都能为您提供最真实的测评、攻略以及最好的资源推荐。 🍃闲暇之余,欢迎狼友来树洞吐槽提问,分享旅途故事,为您的…

27 Sept 2026, 14:42 UTC549 viewsread 29 September 2026

#洞友投稿 没想到聪明如我也有被骗的一天😭😭😭 操你大爷的js排名,买排名的骗子

27 Sept 2026, 11:13 UTC593 views5 reactionsread 29 September 2026

#洞友投稿 很多人都知道,卖淫嫖娼的核心界定标准是“不特定对象之间以财物为媒介发生性关系”,这一表述实际上包含三层核心逻辑:一是服务对象具有开放性、不特定性;二是双方达成自愿的“以钱换性”合意;三是行为最终目的为发生性关系。其中后两点理解门槛较低,大众最容易产生困惑的往往是“不特定对象”的界定,这也是区分嫖娼与婚外情、包养等道德范畴行为的核心边界。 所谓“不特定对象”,核心特征是卖淫人员以牟利为核心目的,本质上“认钱不认人”,服务面向不固定的社会群体开放,只要对方支付的对价符合预期,无论身份、年龄如何都可以达成交易。与之相对的是,婚外情、包养关系中的性对象是专属且固定的,双方的钱款往来多为情感维系性质的赠与,不存在面向不特定群体的性交易属性,只要不构成重婚,仅属于道德调整范畴,不涉及行政违法。 不少人会提出疑问:如果和固定的卖淫人员长期发生付费性关系,算不算对象“特定”?是不是就不构成嫖娼? 此前就有这样一起典型案例:某…

👍5

25 Sept 2026, 04:23 UTC717 views6 reactionsread 29 September 2026

#洞友投稿 我就佩服两个运动员,一个刘翔,一个王楚钦。刘翔打破了黑人对田径运动的垄断,王楚钦打破了中国对乒乓球的垄断

🤣6

24 Sept 2026, 13:35 UTC764 viewsread 29 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8338713895

24 Sept 2026, 13:34 UTC803 views2 reactionsread 29 September 2026

#老师投稿 深思熟虑了很久 还是决定休息几天反省自己 反省自己的服务脾气和性格 其实我一直都有在关注所有人对我的评价 我总结出以下几点 1.服务态度一般 见人下菜 玩手机 (见人下菜:从始至终我从来没有对任何ly下过菜 除了那些在群里经常聊天的ly我见面时露出我的大大咧咧 其余的几乎同样的态度 这个是我需要改进的地方 服务一般:从我开始在鸡头手里做事到现在 我都以为有口 有亲嘴 有69就算有服务 所以在ly说我没有服务时我会感到疑惑 后来才知道所谓的女友感到底是什么意思 今后我会在上课时改进 玩手机:这是很久以前的一句评价了 有在改) 2.太注意流量 一心扑在所谓的《话题》上 这个我承认确实是这样的 我很焦虑 因为没流量就没有客人 今后会将重心转移到服务好客人 3.性格问题 脏话不过脑 没有女孩子样 做事不想后果 养成这样的性格 我承认我缺爱 从小到大父母连一句鼓励和关心的话都没有说过 从始至终只在意我的成绩 所有没有办…

❤2

21 Sept 2026, 05:24 UTC≈1,040 views8 reactionsread 29 September 2026
File

合肥小诺诺老师被开朗米奇罗凿到杀猪叫的语音

😱7😁1

21 Sept 2026, 05:24 UTC947 views1 reactionsread 29 September 2026
Forwarded from @suzhouyingyingPhoto

#外地瓜 起因:7.7日 合肥新来了一位狼友 开朗米奇罗 @LL0616(已经注销) 出击暴力驾驶,导致后面约课狼友无课可上。 受害老师: 夏树 :老师被桩出血。 瓜瓜:被暴力驾驶后愤怒将其推出门外,拉黑。 小诺诺:被凿到杀猪叫,后面去医院花了2000多,阴道撕裂。 蛋蛋:刚开课,3点被凿下线去了医院。 狼友开朗米奇罗说享受这种给老师干到崩溃的感觉。 该行为导致后面的狼友被取消课程,一个人吃饱不管后面狼友死活被开盒警告。 开盒警告帖 8.25日 空虚寂寞 冷啊,暴力驾驶合肥漫漫老师,套子干破内射。后被指认就是开朗米奇罗。 空虚寂寞冷啊聊天记录 漫漫老师指认 开朗米奇罗和漫漫对线 9.20日 总共受害老师累计到10+ 再次暴力驾驶合肥老师一诺后,被忍无可忍的狼友开盒。 一诺老师指认(该帖已被删除) 目前该狼友被开了全家信息,包括小孩。部分狼友持续对该狼友家人短信轰炸。 后续:开朗米奇罗选择报警,帽子叔叔已受理。

❤1

21 Sept 2026, 05:16 UTC820 views0 reactionsread 29 September 2026

#狼友提问 提问大佬,我是处男最近欲望膨胀,打飞机已经不能满足了,推荐我去会所还是找老师?或者有没有推荐的会所或老师

19 Sept 2026, 10:13 UTC980 views7 reactionsread 29 September 2026
Photo

#老师避雷 98群公开榜榜单的老师,结果去了以后引导我提前付款。 现在已经联系管理下榜了,还好没骗到人钱。 榜单现在也不可靠了么?

😨7

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

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 3 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.

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

“西安树洞•故事汇” (@XASDGSH), 1,037 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/XASDGSH.

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.