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Telegram profile photo for 西安怡红院【认证榜单】

Channel

西安怡红院【认证榜单】

@xianyhyls

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

111,155subscribers

+35,323 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002249079327
TypeChannel
Username@xianyhyls
CreatedBetween 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/xianyhyls

Topic

Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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

75,832111,15593,493.57 August 20267 November 2026
62 measurements spanning 92 days, net +35,323. 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 70,534–116,453 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
7 Nov 2026, 21:19111,155+9
6 Nov 2026, 19:36111,146+399
5 Nov 2026, 16:18110,747+614
4 Nov 2026, 15:15110,133+404
3 Nov 2026, 18:30109,729+260
2 Nov 2026, 20:54109,469+594
1 Nov 2026, 22:54108,875+413
31 Oct 2026, 22:56108,462+453
30 Oct 2026, 22:34108,009+426
29 Oct 2026, 22:15107,583+527
29 Oct 2026, 00:06107,056+669
27 Oct 2026, 21:57106,387+524
26 Oct 2026, 20:27105,863+424
25 Oct 2026, 22:27105,439+420
24 Oct 2026, 21:40105,019+466
23 Oct 2026, 22:16104,553+342
23 Oct 2026, 00:17104,211+365
22 Oct 2026, 02:21103,846+438
20 Oct 2026, 21:49103,408+521
19 Oct 2026, 20:59102,887first reading

Engagement

430 posts held, back to 7 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 188 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.53%
avg views ÷ 111,155 subscribers
Avg views / post
1,700
149 posts measured
Reaction rate
0.101%
reactions ÷ views · ER floor
Posts in window
149
of 430 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 124 of 149 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 November 2026
Posts held430 (7 August 2026 – 7 November 2026)
Views total253,847
Reactions total233
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 17:49 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
31m 33s
Average length
10s

Measured directly from 197 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

732 reactions across 303 posts, in 14 distinct kinds. The most used accounts for 91.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤67291.8%
👍182.46%
🖕81.09%
🥰81.09%
🤔60.82%
🤡60.82%
😁40.546%
👏20.273%
😨20.273%
😱20.273%
❤‍🔥10.137%
🌚10.137%
🔥10.137%
🥴10.137%

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 359 of the 430 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 732 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 430 most recent posts we hold, published 7 August 2026 to 7 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: 11 of 149 posts held from the last 30 days (7.38%) 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).

7 Nov 2026, 14:02 UTC≈1,080 views2 reactionsread 7 November 2026
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西安性价比第一 1️⃣:4️⃣9️⃣9️⃣/6️⃣0️⃣分钟 初恋体验:🉑拥抱+😘嘴+搂腰+摸🐻+摸腿+撕丝袜(丝袜可带走) 2️⃣:6️⃣9️⃣9️⃣/6️⃣0️⃣分钟 热恋体验:包含基础套餐一和基础,另解锁抓🐲筋按摩手法,让您放松身心,提高免疫力。 ❗️延时套餐:9️⃣9️⃣9️⃣/9️⃣0️⃣分钟 要是套餐内容延时体验30分钟 ❗️惊喜套餐一:1️⃣0️⃣9️⃣9️⃣/6️⃣0️⃣分钟 深度释放9️⃣5️⃣ ❗️惊喜套餐二:5️⃣9️⃣9️⃣/3️⃣0️⃣ 分钟 深度释放9️⃣5️⃣ 新客立减一百活动截止到11月11日 🔤:@sxxxx00111 双向:@beimibinggan_bot

❤2

7 Nov 2026, 10:57 UTC≈1,460 views2 reactionsread 7 November 2026
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📊 1条车评,综合分 9.2 好评 100% | 人照 9.0 | 服务 9.0 中评 0% | 颜值 9.0 | 态度 9.5 差评 0% | 身材 9.5 | 环境 9.0 👆 【点击查看评价】 ✅【西安怡红院认证】 💠新人 花名: #芊芊 地址: #雁塔区 课费: #700P/1200PP 私聊: @qianqian758 频道: https://t.me/qianqian0123 备注: 🈲无🍑,吃药,桩基 标签: #700 #嫩妹 #B奶 #白虎 🤐私聊限制点⬇️方机器人进行私聊: @qianqian758bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

❤2

7 Nov 2026, 09:22 UTC≈1,560 views2 reactionsread 7 November 2026
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📊 1条车评,综合分 9.2 好评 100% | 人照 9.0 | 服务 9.0 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 ✅【西安怡红院认证】 💠新人 花名: #小梦 地址: #雁塔区 课费: #600P/1100PP 私聊: @xiaomen898 频道: https://t.me/xiaosicun 备注: 🈲无🍑,吃药,桩基 标签: #600 #嫩妹 #B奶 🤐私聊限制点⬇️方机器人进行私聊: @xiaosicunbot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

❤2

7 Nov 2026, 09:17 UTC≈1,470 views1 reactionsread 7 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅【西安怡红院认证】 💠新人 花名: #洋洋 地址: #雁塔区 课费: #500P/900PP 私聊: @yangy1106 频道: https://t.me/yangyangxw1106 备注: 🈲无🍑,吃药,桩基 标签: #500 #御姐 #C奶 🤐私聊限制点⬇️方机器人进行私聊: @yangyxg_bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

❤1

7 Nov 2026, 05:36 UTC102 viewsread 7 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅【西安怡红院认证】 💠新人 花名: #娇娇 地址: #高新区 课费: #600P/1000PP 私聊: @jiaojiao025 频道: https://t.me/jiaojiao253 备注: 🈲无🍑,吃药,桩基 标签: #600 #嫩妹 #C奶 #上门 #包夜 🤐私聊限制点⬇️方机器人进行私聊: @yanxi250_bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

7 Nov 2026, 05:33 UTC138 viewsread 7 November 2026
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📊 6条车评,综合分 9.5 好评 100% | 人照 9.6 | 服务 9.2 中评 0% | 颜值 9.6 | 态度 9.7 差评 0% | 身材 9.6 | 环境 9.3 👆 【点击查看评价】 ✅【西安怡红院认证】 花名: #思思 地址: #未央区 课费: #700P/1300PP 私聊: @sisiYa168 频道: https://t.me/sisidehouhuayuan 备注: 🈲无🍑,吃药,桩基 标签: #700 #嫩妹 #B奶 🤐私聊限制点⬇️方机器人进行私聊: @sisidamowang123_bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

7 Nov 2026, 03:52 UTC556 viewsread 7 November 2026
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📊 29条车评,综合分 9.1 好评 97% | 人照 9.0 | 服务 9.3 中评 3% | 颜值 9.1 | 态度 9.0 差评 0% | 身材 9.3 | 环境 9.0 👆 【点击查看评价】 ✅【西安怡红院认证】 花名: #小柚子 地址: #未央区 课费: #600P/1000PP 私聊: @ranran55883 频道: https://t.me/lc998344 备注: 🈲无套,桩机,喝酒 标签: #600 #嫩妹 #C奶 #上门 #包时 #包夜 🤐私聊限制点⬇️方机器人进行私聊: @ranranquan_bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

6 Nov 2026, 17:38 UTC≈1,580 views4 reactionsread 7 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅【西安怡红院认证】 💠新人 花名: #冰淇淋 地址: #莲湖区 课费: #600P/1000PP 私聊: @bingqilinw 频道: https://t.me/bingqilinp 备注: 🈲无套,喝酒,磕药 标签: #600 #嫩妹 #B奶 🤐私聊限制点⬇️方机器人进行私聊: @bingqilin8_bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

❤3😱1

6 Nov 2026, 16:00 UTC544 views0 reactionsread 6 November 2026

🎁 西安怡红院11月白嫖活动第一弹 积分抽奖(定时开奖) ├开奖时间: 2026-11-07 00:00 ├参与需加入: │⭐ 西安怡红院【三次重生版】 │└消耗积分: 200 │🎫 西安怡红院【认证榜单】 │🎫 西安修车认证榜单 ├奖品列表: ├本群榜单600内老师白嫖 × 2 ├加成上限: 100次 ├抽奖说明:为防止小号和广告,中奖者需在本群有出击报告,否则奖励作废。 老师和商家不参与奖励兑换。 ├已参与人数: 104 ├已加成次数: 222 已开奖! 中奖名单如下: Steven(25) 中奖!奖品为:本群榜单600内老师白嫖 迟渡(58) 中奖!奖品为:本群榜单600内老师白嫖

6 Nov 2026, 12:42 UTC≈1,200 views3 reactionsread 6 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅【西安怡红院认证】 💠新人 花名: #书瑶 地址: #雁塔区 课费: #900P/1600PP 私聊: @shuyao0089 频道: https://t.me/H8a81 备注: 🈲无套,喝酒,磕药 标签: #900 #嫩妹 #C奶 #上门 🤐私聊限制点⬇️方机器人进行私聊: @H8a28_bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

❤3

6 Nov 2026, 12:39 UTC≈1,130 views2 reactionsread 6 November 2026
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📊 2条车评,综合分 9.2 好评 100% | 人照 9.2 | 服务 10.0 中评 0% | 颜值 8.5 | 态度 10.0 差评 0% | 身材 9.0 | 环境 8.5 👆 【点击查看评价】 ✅【西安怡红院认证】 花名: #林林 地址: #高新区 课费: #400P/700PP 私聊: @linli666 频道: https://t.me/+3IPZ8l38R7AyMGU1 备注: 🈲无套,喝酒,磕药 标签: #400 #少妇 #D奶 #包夜 🤐私聊限制点⬇️方机器人进行私聊: @xuanxuan66ylinli_bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

❤2

6 Nov 2026, 11:11 UTC≈1,260 views0 reactionsread 6 November 2026
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📊 3条车评,综合分 8.8 好评 100% | 人照 8.7 | 服务 8.7 中评 0% | 颜值 8.3 | 态度 9.5 差评 0% | 身材 8.3 | 环境 9.0 👆 【点击查看评价】 ✅【西安怡红院认证】 花名: #小楠 地址: #未央区 课费: #600P/1100PP 私聊: @nannan1520 频道: https://t.me/+jMEkR_NffhY0YTM5 备注: 🈲无套,喝酒,磕药 标签: #600 #嫩妹 #C奶 #包时 #包夜 #包天 🤐私聊限制点⬇️方机器人进行私聊: @Yinan6669bot #本群不提倡定金约课 上榜请联系客服 @yhygl_bot

Showing the 12 most recent of 430 posts we hold for @xianyhyls. 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.

Posts edited after publishing

@xianyhyls edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
27 August 2026
Most recent edit
5 November 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @xianyhyls as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
17 August 2026
Most recent seen missing
18 August 2026
Median time before seen missing
15 hours
Seen missing in the last 30 days
0

Mentions

Named by 22 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“西安怡红院【认证榜单】” (@xianyhyls), 111,155 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xianyhyls.

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.