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Channel

成都怡红院选妃榜

@CD_yhyhk

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

28,980subscribers

+3,244 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002880177336
TypeChannel
Username@CD_yhyhk
Description成都怡红院: https://t.me/CD_yhy
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live25 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/CD_yhyhk

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 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 why it has no browse page of its own yet.

Growth

25,59228,98027,2868 August 2026 — 25,736 subscribers9 August 2026 — 25,713 subscribers10 August 2026 — 25,661 subscribers11 August 2026 — 25,681 subscribers12 August 2026 — 25,678 subscribers13 August 2026 — 25,665 subscribers14 August 2026 — 25,691 subscribers16 August 2026 — 25,668 subscribers17 August 2026 — 25,632 subscribers18 August 2026 — 25,623 subscribers19 August 2026 — 25,594 subscribers20 August 2026 — 25,610 subscribers21 August 2026 — 25,600 subscribers23 August 2026 — 25,592 subscribers25 August 2026 — 26,647 subscribers25 August 2026 — 26,631 subscribers27 August 2026 — 26,668 subscribers27 August 2026 — 26,592 subscribers28 August 2026 — 26,818 subscribers29 August 2026 — 26,762 subscribers30 August 2026 — 26,794 subscribers1 September 2026 — 26,877 subscribers3 September 2026 — 26,862 subscribers5 September 2026 — 26,907 subscribers7 September 2026 — 27,140 subscribers10 September 2026 — 27,130 subscribers12 September 2026 — 27,088 subscribers14 September 2026 — 27,188 subscribers16 September 2026 — 27,226 subscribers18 September 2026 — 27,349 subscribers25 September 2026 — 28,980 subscribers8 August 202625 September 2026
31 measurements spanning 48 days, net +3,244. 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 25,084–29,488 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
25 Sept 2026, 03:1928,980+1,631
18 Sept 2026, 18:4127,349+123
16 Sept 2026, 10:1927,226+38
14 Sept 2026, 12:1727,188+100
12 Sept 2026, 19:1527,088-42
10 Sept 2026, 19:3727,130-10
7 Sept 2026, 21:5627,140+233
5 Sept 2026, 00:3826,907+45
3 Sept 2026, 09:0426,862-15
1 Sept 2026, 02:2626,877+83
30 Aug 2026, 23:5226,794+32
29 Aug 2026, 21:3726,762-56
28 Aug 2026, 20:5426,818+226
27 Aug 2026, 21:2826,592-76
27 Aug 2026, 00:4626,668+37
25 Aug 2026, 21:2826,631-16
25 Aug 2026, 00:3826,647+1,055
23 Aug 2026, 09:4425,592-8
21 Aug 2026, 18:2625,600-10
20 Aug 2026, 14:0425,610first reading

Engagement

112 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 72 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.88%
avg views ÷ 28,980 subscribers
Avg views / post
833
40 posts measured
Reaction rate
0.222%
reactions ÷ views · ER floor
Posts in window
40
of 112 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 19 of 40 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 1 October 2026
Posts held112 (7 August 2026 – 1 October 2026)
Views total33,328
Reactions total35
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 12:50 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
≈3,650
Videos
≈288
Links
≈898

Lifetime counters from Telegram’s own channel header, read 1 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
5m 47s
Average length
11s

Measured directly from 32 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

61 reactions across 35 posts, in 4 distinct kinds. The most used accounts for 95.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5895.1%
👍11.64%
👎11.64%
💩11.64%

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 46 of the 112 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 61 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 112 most recent posts we hold, published 7 August 2026 to 1 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
2
of 112 we hold a reading for · 2%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CD_yhyhk. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 112 most recent posts we hold for this entry, published 7 August 2026 to 1 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

1 Oct 2026, 07:42 UTC152 viewsread 1 October 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 怡红院选妃榜 【编 号 】:#M819 【花 名 】:#苒苒 【地 区 】:#动物园 【课 费 】:600/p 1200/pp #6/12 【标 签 】:#动物园 #丰满车 #感觉车 #良家感 #嫩妹 #初下水 #态度车 【车 牌 】:@az7758258123 【硬件详情】: 年龄18身高165体重50罩杯D 【软件详情】:深吻 舔胸 共浴 做 【综合评分】:硬件+软件综合得8.5 【总结评价】:老师刚来成都,第一次做,还不是很熟悉,但态度和服务好,听话,做的时候有女盆友的感觉,胸大,喜欢嫩妹和胸控的可以冲 【验证报告】:#已验证 报告1 报告2 你爱你的林黛玉,我爱我的杨贵妃!

29 Sept 2026, 10:09 UTC673 views1 reactionsread 1 October 2026
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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_109111213

❤1

29 Sept 2026, 10:09 UTC593 viewsread 1 October 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 怡红院选妃榜 【编 号 】:#M818 【花 名 】:#小奴 【地 区 】:#成华区 【课 费 】:600/p 1000/pp #6/10 【标 签 】:#sm #成华区 #御姐 #颜值车 #身材车 【车 牌 】: @xiaonu666 【硬件详情】: 年龄24身高160体重90罩杯C 【软件详情】:SM,鸳鸯浴,口,漫游,69,制服等 【综合评分】:硬件+软件综合得9 【总结评价】:情绪价值给的很足,服务上非常有特点,身材也好,还有符文攻速,主动叫爸爸,完美炮架子 【验证报告】:# 报告1 报告2 你爱你的林黛玉,我爱我的杨贵妃!

29 Sept 2026, 01:50 UTC628 viewsread 1 October 2026
Photo

📊 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 怡红院选妃榜 【编 号 】:#M817 【花 名 】:#琪琪子 【地 区 】:#武侯区 大源 【课 费 】:600/p 1000/pp #6/10 【标 签 】:#武侯区 #少妇车 #人照有差 #代聊 #颜值车 #身材车 #超级服务车 #态度车 #感觉车 #欧版梨型身材 #微胖 #丰满 #巨乳 #蛇蛇精 #大蟒蛇 #深喉 #冷白皮 #毒🐉 #褐色蝴蝶逼 #良家感 #6/10 【车 牌 】: @qiqizi_99 【硬件详情】: 年龄28左右,身高165左右,体重110左右,罩杯D。 【软件详情】:鸳鸯浴,按摩,胸推,臀推,过水,吸皮,口莎,舌漫,毒龙,顶缸,海底捞月,亲咪咪,舔蛋,吸蛋,无套吹箫,深喉…

28 Sept 2026, 15:58 UTC613 views2 reactionsread 1 October 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 怡红院选妃榜 【编 号 】:#M816 【花 名 】:#清水 【地 区 】:#红牌楼 【课 费 】:600/p 1000/pp #6/10 【标 签 】: #武侯区 #嫩妹 #SM #颜值车 #感觉车 #舌吻 #6p 【车 牌 】: @qingshui_11 【硬件详情】: 年龄19,身高165,体重60,罩杯C,人照一致,身材BBW 【软件详情】:陪洗,舌吻,裸口,舔胸,做,以自己体验到的服务为准 【综合评分】:硬件+软件综合得 8.5 【总结评价】:从江苏来的嫩妹,脸好看,人照一致,身材丰满BBW,八字胸C,皮肤白皙细腻,进入较紧,适合喜欢舌吻,丰满BBW,SM服务的狼友。 【验证报告】:#…

❤2

27 Sept 2026, 04:34 UTC791 views1 reactionsread 30 September 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 怡红院选妃榜 【编 号 】: #M815 【花 名 】: #朵儿 【地 区 】:#钻石广场 【课 费 】:600/p 1000/pp #6/10 【标 签 】:#成华区 #身材车 #服务车 #敏感车 #6p 【车 牌 】: @duoer223 【硬件详情】: 26 160 45kg c 【软件详情】:口、舔胸、舔耳、舌吻、乳胶、爱爱、熊莎、背莎、毒龙、69、态度好不催人 【综合评分】:8 【总结评价】:好看 身材棒 该细的地方细 该大的地方大,服务细致 种类多,体验非常棒,还会按摩,口莎,熊莎,老师经常锻炼,下面特别紧 还会一字马 ,倒立口交,特别是毒龙,给你上下左右的舔,牛逼炸了,适合喜欢服务的…

❤1

26 Sept 2026, 12:43 UTC713 views2 reactionsread 30 September 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 怡红院选妃榜 【编 号 】:#M814 【花 名 】:#小瑞 【地 区 】:#@xiaorui333521 【课 费 】:600/p 1000/pp #6/10 【标 签 】:#少御车 #服务车 #敏感车 #反差感 #代聊 【车 牌 】:@xiaorui333521 【硬件详情】: 年龄26身高160体重105,胸B挺拔乳头乳晕小,鲍鱼浅褐色水多较紧 【软件详情】:三件套、舌吻、舌漫、吸皮、制服、深喉、按摩 【综合评分】:硬件+软件综合得8.8 【总结评价】:颜值还可以的少御类型,很热情性格活泼,比较骚有反差感,胸B挺拔手感不错,服务也是比较细致,爱爱水多较紧反差感不错 【验证报告】:# 报告…

❤2

26 Sept 2026, 04:00 UTC≈1,150 viewsread 28 September 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178997634858 🎰 福利来袭!! ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! 2.本次活动兑奖有效期为开奖后1天内,逾期作废。 💁 参与情况:560达标 / 773报名 🔋 人品加成:0票 ⚡️ 🎅 联系领奖:@CD_linlin 1. 我是一颗小虎牙 奖品:口令红包20 2. 温温的小日常 奖品:口令红包20 3. Ray 奖品:口令红包20 4. 猫语翻译官 奖品:口令红包20 5. 朝小树 奖品:口令红包20 6. 长得很抽象 奖品:通用优惠券100 7. JianKe 奖品:通用优惠券100 8. 蜜蜂 奖品:通用优惠券100 9. 不教而诛 奖品:通用200 优惠券 10. mike007 奖品:通用200 优惠券 11. oow 奖品:通用200 优惠券 12. 桑…

26 Sept 2026, 03:31 UTC≈1,070 viewsread 28 September 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 怡红院选妃榜 【编 号 】:#M813 【花 名 】:#菲莉娅 【地 区 】:#fly3678 【课 费 】:700/p 1200/pp 【标 签 】:#成华区 #嫩妹 #代聊 #大长腿 【车 牌 】:@fly3678 【硬件详情】: 年龄 18 身高 165体重 50kg罩杯 天然C🐻 【软件详情】:陪浴,口,大蟒蛇,昆 【综合评分】:8.5 【总结评价】:老师颜值耐看,年青,身材好,没有赘肉,很会撩人,日感好,服务偏少了点,肩部有一小块纹身,总体来说还是值得一试的,特别是喜欢温柔,日感好,嫩妹的老哥可以冲 【验证报告】:# 报告1 报告2 你爱你的林黛玉,我爱我的杨贵妃!

25 Sept 2026, 08:17 UTC≈1,150 views3 reactionsread 28 September 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 怡红院选妃榜 【编 号 】:#M812 【花 名 】:#涵宝宝 【地 区 】:#昭觉寺 【课 费 】:400/p 700/pp #4/7 【标 签 】:#bbw #昭觉寺 #4p 【车 牌 】: @dEbaozi 【硬件详情】: 19 170 70kg E 【软件详情】:三件套+🐍 【综合评分】:8 【总结评价】:妹妹态度极好,进门妹妹很热情,一起共浴,帮洗特别认真,站好双手握住妹妹的大E,真男人就得开大E,躺床上,妹妹开始舔咪咪,口。口活不错,有感觉后进入,由于妹妹刚下水,所以特别紧。后入体验好,容易被秒。4p挺有性价比的 【验证报告】:# 报告1 报告2 你爱你的林黛玉,我爱我的杨贵妃

❤3

25 Sept 2026, 00:39 UTC≈1,020 viewsread 26 September 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 怡红院选妃榜 【编 号 】:#M812 【花 名 】:#咪咪 【地 区 】:#武侯区 【课 费 】:600/p 1000/pp #6/10 【标 签 】:#御姐车 #武侯区 #代聊 #6p #态度车 #舌吻 #大胸 【车 牌 】:@mimianqu 【硬件详情】: 25 163 115 胸D 【软件详情】:帮洗/水中箫/胸推/舔咪咪/深喉/69/舌吻/爱爱 【综合评分】:8.7 【总结评价】:老师年龄25岁、御姐车、易沟通,服务样式多,态度好,口无齿感,日感佳、姿势配合。 【验证报告】:# 报告1 报告2 你爱你的林黛玉,我爱我的杨贵妃!

24 Sept 2026, 17:22 UTC853 views1 reactionsread 25 September 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 怡红院选妃榜 【编 号 】:#M811 【花 名 】:#葡萄 【地 区 】:#市中心 【课 费 】:700/p 1200/pp #7/12 【标 签 】:#嫩妹 #舌吻 #细枝硕果 #颜值车 #女友感 【车 牌 】:@putao99961 【硬件详情】: 165 90 C罩杯 蝴蝶型 【软件详情】:陪洗,口 69 舌吻 爱爱 【综合评分】:8.8 【总结评价】:颜值很高的嫩妹,人照9,刚下水又紧又润实在舒服,大蟒蛇管够,不抽烟无烟味,各种姿势可配合,态度很好,服务稍微生疏。喜欢颜值嫩妹大蟒蛇的狼友可冲。 【验证报告】:# 报告1 报告2 你爱你的林黛玉,我爱我的杨贵妃!

❤1

Showing the 12 most recent of 112 posts we hold for @CD_yhyhk. 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

@CD_yhyhk edited 1 post 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
1 September 2026
Most recent edit
1 September 2026

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.

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

“成都怡红院选妃榜” (@CD_yhyhk), 28,980 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/CD_yhyhk.

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.