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Channel

呆什么羊

@Daidaiyang159

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

1,249subscribers

+26 since we began measuring on 11 October 2026

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

Register entry

Telegram ID-1003035410999
TypeChannel
Username@Daidaiyang159
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 October 2026
Last confirmed live5 November 2026
Measurements held10
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/Daidaiyang159

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 25 October 2026 and assigned it the closest of 31 fixed categories, at 70% 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

1,2221,2571,239.511 October 2026 — 1,223 subscribers14 October 2026 — 1,222 subscribers17 October 2026 — 1,240 subscribers20 October 2026 — 1,243 subscribers23 October 2026 — 1,247 subscribers25 October 2026 — 1,249 subscribers28 October 2026 — 1,255 subscribers31 October 2026 — 1,257 subscribers3 November 2026 — 1,254 subscribers5 November 2026 — 1,249 subscribers1,24911 October 20265 November 2026
10 measurements spanning 26 days, net +26. 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 1,217–1,262 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Nov 2026, 23:411,249-5
3 Nov 2026, 02:291,254-3
31 Oct 2026, 02:511,257+2
28 Oct 2026, 08:451,255+6
25 Oct 2026, 17:561,249+2
23 Oct 2026, 00:351,247+4
20 Oct 2026, 02:181,243+3
17 Oct 2026, 10:001,240+18
14 Oct 2026, 02:061,222-1
11 Oct 2026, 11:221,223first reading

Engagement

16 posts held, back to 14 April 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
18.0%
avg views ÷ 1,249 subscribers
Avg views / post
225
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 16 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 October 2026
Posts held16 (14 April 2026 – 10 October 2026)
Views total225
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Oct 2026, 11:22 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

Video runtime
8s
Average length
8s

Measured directly from 1 video 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

32 reactions across 11 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤32100.0%

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 11 of the 16 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 14 April 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 1 post 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).

7 Oct 2026, 12:42 UTC526 views1 reactionsread 11 October 2026

宝宝们🈶🈳位置啦 🉑⬆️🚪 🉑夜🉑包时 🉑包天 自带工作🏠 @DaidaiYang

❤1

29 Sept 2026, 06:38 UTC≈1,320 views3 reactionsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名: 匿名 上课时间:9.28 老师花名:#呆呆羊 位置坐标:海口 上课花费:800 颜值身材:看起来确实十八九的样子,比较呆萌,跟照片不算特别像,不过还算可爱,巴掌小脸,大大的眼睛。身材绝佳,165苗条又挺拔,手脚都很细长,身上毫无赘肉。胸和小妹妹都是极品,腰臀比绝佳。 服务内容:嫩妹三件套,可以有浴中萧,舌吻比较勉强。 出击体验:描述尽量客观中立。来海口出差,顺便感受一下椰城的人文景观。呆呆羊妹子是我看照片一下觉得就有眼缘那种,典型的初恋脸,毕竟没有什么比青春的美好身体更吸引人的了。很顺利的约上,中间推后了一次时间也没问题。我是骑着单车欣赏海边夜景溜达过去的,遥控上楼,妹子躲在门后。 讲真,跟照片也就7分像,不过看起来确实是少女。身材十分高挑,眨巴眨巴大眼睛问我,可以吗可以吗?没有穿内衣,两个苹果一般的胸透过T恤,勾勒出致命的形状。本来还有些犹豫的我一下子心…

❤3

4 Sept 2026, 07:02 UTC≈3,090 views2 reactionsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名: 匿名 上课时间:9.2 老师花名:#呆呆羊 位置坐标:海口 上课花费:800 颜值身材:妹妹跟照片一样 嫩妹 三点粉 很可爱 非常好的一次体验 服务内容:课表上的都有 出击体验:9.5分 优点缺点:没有缺点 推荐程度:非常推荐 联系方式:@DaidaiYang

❤2

2 Sept 2026, 05:37 UTC≈2,720 viewsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名: 匿名 上课时间:9.1 老师花名:#呆呆羊 位置坐标:海口 上课花费:800 颜值身材:10 服务内容:嫩妹三件套 出击体验:海口必吃,三点粉嫩,初恋女友般的体验,正儿八经嫩妹,下面又紧水又多。服务态度也好,吃了还想吃。 优点缺点:胸太大,腿太长,腰太细,下面太紧 推荐程度:10 联系方式:@DaidaiYang

9 Aug 2026, 10:21 UTC≈4,240 views1 reactionsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名: 匿名 上课时间:8.8 老师花名:#呆呆羊 位置坐标:海口 上课花费:800 颜值身材:10 服务内容:如图介绍 出击体验:已经不止第一次了,看到开课马上出击,已经初恋的小香风,亲抚全身口后马上就马上开始正赛,很快就交枪了。 优点缺点:都是优点 推荐程度:10 联系方式:@DaidaiYang

❤1

11 Jul 2026, 07:26 UTC≈5,990 views2 reactionsread 11 October 2026
Photo

📍#海口 💕#呆呆羊 🛍#800p 📸#视频认证 🎁 https://t.me/Daidaiyang159 ⚡️@Daidaiyang

❤2

10 Jul 2026, 07:39 UTC≈5,750 views3 reactionsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名: 匿名 上课时间:6.27 老师花名:#呆呆羊 位置坐标:海口 上课花费:3000 颜值身材:顶级 服务内容:初恋女友的陪伴 出击体验:顶级 优点缺点:优点拉满了 推荐程度:满分 过程体验:邂逅与呆呆羊,让我的烦恼忘却了些许,如春风拂过,只留下淡淡的余香,令人难以忘怀。 近来无事,偶见佳人,颇为心动,奈何身缠疾病,无可奈何,久病初愈,又逢佳人红休,更是寤寐思服,辗转反侧,幸得假期重逢,我也如愿以偿与呆呆羊共渡月夜,缠绵今宵。 入门而见,一番别样的风景映入眼帘,我不禁慨叹如此贫瘠之海南,竟生出如此秀丽的芙蓉花,呆呆羊见我静立不动,便主动引我到客室坐下,非常熟练地向我交谈,“还可以吗?”呆呆羊稚嫩的声音响起,我毫不犹豫回答:“自然,超出我的预料。”呆呆羊不禁贫嘴一笑,仿佛一切都是预料之内 青丝三千垂于腰,玉手纤纤细如葱,笑容春风白如月,亭亭玉立柳如风。这或许是呆…

❤3

1 Jun 2026, 10:36 UTC≈7,450 views5 reactionsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名: 匿名 上课时间:5.31 老师花名:#呆呆羊 位置坐标:海口 上课花费:800 颜值身材:腰细胸软 服务内容:陪浴,口,做 出击体验:自带课室,私密性强,老师确实嫩,做的时候还有点害羞 优点缺点:年轻,嫩 推荐程度:9 过程体验:8 联系方式:@DaidaiYang

❤5

31 May 2026, 10:56 UTC≈6,240 views3 reactionsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名: 匿名 上课时间:5.31 老师花名:#呆呆羊 位置坐标:海口 上课花费:800 颜值身材:9 服务内容:8 出击体验:9 优点缺点:嫩妹 推荐程度:9 过程体验:呆呆羊妹妹在嫩妹中属于比较顶的,身体曲线刚刚好,比较乖巧的躺着可以随便玩的那种妹妹。这次cj体验还是比较不错的 联系方式:@DaidaiYang

❤3

31 May 2026, 10:56 UTC≈5,380 viewsread 11 October 2026

出击报告 (https://t.me/Hainanbang) 验证留名:匿名 上课时间:5.30 老师花名:#呆呆羊 位置坐标:海口 上课花费:1500 颜值身材:8 服务内容:9 出击体验:这次约到的老师很亲切,进门就显得自然大方,沟通顺畅。环境干净整洁,服务流程规范,洗浴和休息安排得很妥当。老师态度温和,配合度高,聊天轻松有趣,带来愉快的放松感,仿佛回到大学时的甜蜜时光。整体体验舒适,既有情绪价值又让人身心放松。价格合理,性价比高,会考虑回访。 优点缺点:优点:亲和力强、服务细致;缺点:体型看着瘦但手感较柔软。推荐程度:高,下次会尝试更长时间的服务以体验更完整。 推荐程度:7 出击过程: 联系方式:@DaidaiYang

Showing the 12 most recent of 16 posts we hold for @Daidaiyang159. 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 1 registered channel — 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.

“呆什么羊” (@Daidaiyang159), 1,249 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/Daidaiyang159.

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.