Sticker, posted without a caption

Channel
西安会所推荐
@xian88996
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,021subscribers
+1,734 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003984166384 |
|---|---|
| Type | Channel |
| Username | @xian88996 |
| Description | 本频道只做西安会所推荐,非诚勿扰,诚信第一。 |
| Created | Between 1 April 2026 and 10 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/xian88996 |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 01:07 | 6,021 | +22 |
| 1 Nov 2026, 18:37 | 5,999 | +37 |
| 29 Oct 2026, 18:58 | 5,962 | -3 |
| 26 Oct 2026, 16:57 | 5,965 | +1 |
| 23 Oct 2026, 12:35 | 5,964 | +3 |
| 20 Oct 2026, 14:09 | 5,961 | -6 |
| 17 Oct 2026, 22:36 | 5,967 | +14 |
| 14 Oct 2026, 17:20 | 5,953 | +24 |
| 10 Oct 2026, 23:17 | 5,929 | +11 |
| 4 Oct 2026, 21:36 | 5,918 | +176 |
| 25 Sept 2026, 16:36 | 5,742 | +160 |
| 17 Sept 2026, 00:40 | 5,582 | +161 |
| 12 Sept 2026, 23:16 | 5,421 | +107 |
| 9 Sept 2026, 09:20 | 5,314 | +225 |
| 3 Sept 2026, 21:42 | 5,089 | +133 |
| 31 Aug 2026, 16:46 | 4,956 | +84 |
| 28 Aug 2026, 09:47 | 4,872 | +97 |
| 25 Aug 2026, 14:12 | 4,775 | +62 |
| 22 Aug 2026, 21:17 | 4,713 | +56 |
| 19 Aug 2026, 10:12 | 4,657 | first reading |
Engagement
29 posts held, back to 10 July 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 7 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 46.2%
- avg views ÷ 6,021 subscribers
- Avg views / post
- 2,780
- 8 posts measured
- Reaction rate
- 0.075%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 29 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 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 29 (10 July 2026 – 4 November 2026) |
| Views total | 22,244 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 17:24 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
- 199
- Videos
- 27
- Links
- 92
Lifetime counters from Telegram’s own channel header, read 5 November 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.
- Video runtime
- 2m 05s
- Average length
- 8s
Measured directly from 15 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
90 reactions across 23 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 90 | 100.0% |
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 25 of the 29 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 10 July 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
目前营业店铺栏目表 点击下方蓝色字体🔥🔥 💗口爆半套95店铺(780-1550) 蜜桃半套口爆(西关) 轻语半套口爆(电视塔) 相依半套口爆(大明宫) 💗泻火全套98店铺(598-798) 唐朝泻火公寓(青龙寺) 醉美泻火公寓(电视塔) 小馋猫泻火公寓(大明宫) 白雪泻火会所(北二环) 💗情景水床98店铺(998-1998) 北关情景洗浴(北大街) 星湖情景洗浴(红庙坡) 大唐情景洗浴(电视塔) 三悦情景洗浴(大寨路) 清泉情景洗浴(太白南路) 明湖情景洗浴(凤城五路) 💗顶奢环境98店铺(2900-3700) MT私人餐厅(太白南路) 玫瑰餐厅W(曲江池) 京秀普通高端(北二环) 🆒🆒客户评价: @kehupingjia1 🚓🚑🚒🚐🛻 😳靠谱昭昭:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: @xianxiu99
❤3
Sticker, posted without a caption
🌈🌈🌈天气在变,服务不变 季节在变,态度不变 时代在变,品质不变 不管世界怎么变,昭昭真诚不会变 😘😘😘 主营西安洗浴大选,位置全方位覆盖,请放心消费🌈🌈🌈 95海选半套——👩🎤👩🎤👩🎤👩🎤👩🎤 98海选全套——👩🎤👩🎤👩🎤👩🎤👩🎤 ✒️🧡🧡💚🖤 真实客户评价: https://t.me/kehupingjia1 😳靠谱昭昭:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: https://t.me/xianxiu99 🖇科普频道:https://t.me/kepu3
❤1
Photo, posted without a caption
😘😝😜😍 🌈在岗🌈有房🌈有技师 💗提前预约 💗私密环境 💗主打靠谱 妹妹战衣以备好等待为您卸甲,一流的质量,一流的服务。 🥰🥰包间私密豪华,隔音超强 🥰🥰服务贴心技师颜值身材在线 🥰🥰专业到您腿软 预约认准昭昭🖇🖇🖇 🆒🆒真实客户评价: https://t.me/kehupingjia1 🚓🚑🚒🚐🛻 😳靠谱昭昭:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: https://t.me/xianxiu99
❤3
🌈🌈🌈营业店铺请私聊昭昭,推荐性价比最顶级店铺,希望各位大哥有个愉快的一天😘😘😘 主营西安洗浴大选,位置全方位覆盖,请放心消费🌈🌈🌈 95海选半套——👩🎤👩🎤👩🎤👩🎤👩🎤 98海选全套——👩🎤👩🎤👩🎤👩🎤👩🎤 ✒️🧡🧡💚🖤 真实客户评价: https://t.me/kehupingjia1 😳靠谱昭昭:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: https://t.me/xianxiu99 🖇科普频道:https://t.me/kepu3
❤3
目前营业店铺栏目表 点击下方蓝色字体🔥🔥 💗口爆半套95店铺(780-1550) 蜜桃半套口爆(西关) 轻语半套口爆(电视塔) 相依半套口爆(大明宫) 💗泻火全套98店铺(598-798) 唐朝泻火公寓(青龙寺) 醉美泻火公寓(电视塔) 小馋猫泻火公寓(大明宫) 白雪泻火会所(北二环) 💗情景水床98店铺(998-1998) 北关情景洗浴(北大街) 星湖情景洗浴(红庙坡) 大唐情景洗浴(电视塔) 三悦情景洗浴(大寨路) 清泉情景洗浴(太白南路) 明湖情景洗浴(凤城五路) 💗顶奢环境98店铺(2900-3700) MT私人餐厅(太白南路) 玫瑰餐厅W(曲江池) 京秀普通高端(北二环) 🆒🆒客户评价: @kehupingjia1 🚓🚑🚒🚐🛻 😳靠谱昭昭:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: @xianxiu99
❤4
目前营业店铺栏目表 点击下方蓝色字体🔥🔥 💗口爆半套95店铺(780-1550) 蜜桃半套口爆(西关) 轻语半套口爆(电视塔) 相依半套口爆(大明宫) 💗泻火全套98店铺(598-798) 唐朝泻火公寓(青龙寺) 醉美泻火公寓(电视塔) 小馋猫泻火公寓(大明宫) 💗情景水床98店铺(998-1998) 北关情景洗浴(北大街) 星湖情景洗浴(红庙坡) 大唐情景洗浴(电视塔) 三悦情景洗浴(大寨路) 清泉情景洗浴(太白南路) 明湖情景洗浴(凤城五路) 💗顶奢环境98店铺(2900-3700) MT私人餐厅(太白南路) 玫瑰餐厅W(曲江池) 🆒🆒客户评价: @kehupingjia1 🚓🚑🚒🚐🛻 😳靠谱昭昭:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: @xianxiu99
国庆佳节,与国同庆! 各位老大,上一条菜单是昭昭精挑细选出来合适出击的会所,国庆内需要安排也可以随时选择。 并且国庆7天内出击都会爆小惊喜哦!!!
❤1
目前营业店铺栏目表 点击下方蓝色字体🔥🔥 💗口爆半套95店铺(780-1550) 蜜桃半套口爆(西关) 轻语半套口爆(电视塔) 相依半套口爆(大明宫) 💗泻火全套98店铺(598-798) 唐朝泻火公寓(青龙寺) 醉美泻火公寓(电视塔) 小馋猫泻火公寓(大明宫) 💗情景水床98店铺(998-1998) 北关情景洗浴(北大街) 星湖情景洗浴(红庙坡) 大唐情景洗浴(电视塔) 三悦情景洗浴(大寨路) 清泉情景洗浴(太白南路) 明湖情景洗浴(凤城五路) 💗顶奢环境98店铺(2900-3700) MT私人餐厅(太白南路) 玫瑰餐厅W(曲江池) 🆒🆒客户评价: @kehupingjia1 🚓🚑🚒🚐🛻 😳靠谱昭昭:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: @xianxiu99
❤1
😅😇😢😍😗🙊🥰 #西安会所 #西安半套 #西安全套 😝🤩😜🤪 开始营业🈺西安各区95,98会所 🐉🐉😀🐉🐉🐉🐉🐉 联系客服发送精确地址 提前告知客服预约 几位老板 需要安排什么项目 西安全套顶级【全套场】 😢北郊大明宫(小馋猫98会所) 修车水费💸 🔢: 598全套爱爱一次,带莞式调情服务(服务时间60分钟) 🔢:798全套爱爱无限次,带莞式调情服务(服务时间80分钟) 服务以做爱为主,帝王享受,花式调情,高山流水,新式臀推 ,AB面过水等 莞式调情一条龙服务 认准西安推荐官会所不迷路 🚓🚑🚒🚐🛻 😳靠谱客服:@vip87315 🤖双向联系:@Zhaozhao1_bot 💎唯一大群: https://t.me/xianxiu99 😝🤩😜🤪本频道为西安修车靠谱推荐频道,请放心消费
❤9
Showing the 12 most recent of 29 posts we hold for @xian88996. 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.
Mentions
Named by 5 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“西安会所推荐” (@xian88996), 6,021 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/xian88996.
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.