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Channel

每天都想睡大觉

@duohereshuishentiyebuhuihao

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

9,867subscribers

+293 since we began measuring on 24 October 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003308719735
TypeChannel
Username@duohereshuishentiyebuhuihao
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 October 2026
Last confirmed live25 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/duohereshuishentiyebuhuihao

Growth

9,5749,8679,720.524 Oct 2026, 22:22 — 9,574 subscribers25 Oct 2026, 17:41 — 9,867 subscribers24 Oct 2026, 22:2225 Oct 2026, 17:41
2 measurements taken within a single day, net +293. 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 9,530–9,911 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Oct 2026, 17:419,867+293
24 Oct 2026, 22:229,574first reading

Engagement

12 posts held, back to 11 October 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
33.0%
avg views ÷ 9,867 subscribers
Avg views / post
3,260
10 posts measured
Reaction rate
0.072%
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 3 of 10 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 24 October 2026
Posts held12 (11 October 2026 – 24 October 2026)
Views total32,560
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 22:22 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
29s
Average length
10s

Measured directly from 3 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

7 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍685.7%
🤔114.3%

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 3 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 7 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 11 October 2026 to 24 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

24 Oct 2026, 17:41 UTC≈2,760 viewsread 24 October 2026
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🎰 南京比奇堡支教老师福利放送 📮 抽奖条件: 🎫 加入-南京比奇堡同人学生会3.0 🎫 加入-南京比奇堡出击日报(信息发布) 🎫 加入-每天都想睡大觉 🎫 加入-榣亦榣的小窝 🎫 加入-南京拿铁频道入口在南京 🎫 加入-南京拿铁定期杭州上海 🍀 每88分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 比奇堡100京东e卡 × 3 拿铁100京东e卡 × 3 榣亦榣单p半价优惠券 × 1 💡 活动说明: 比奇堡:@bqbsbbot 拿铁:@latte123330 榣亦榣:@aiyao033 此活动由南京开水哥冠名😁,中奖联系发奖人领取,红包e卡3天内联系领取,老师优惠券老师开课后5天内有效,最终解释权由各个发奖人,祝各位开心每一天,出击不踩坑! 📅 开奖日期:(UTC+8) 2026年10月29日 11时33分33秒

24 Oct 2026, 04:00 UTC≈2,830 viewsread 24 October 2026
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💐💐💐开奖了💐💐💐 李李老师联动抽奖 开奖了! 本期总参与人数: 566 1- 华为牛逼 获得:100元京东E卡 2- 冷岐 获得:100元京东E卡 3- D Sixgou 获得:100元京东E卡 谨祝中奖用户大吉大利万事顺意 中奖用户请尽快联系

23 Oct 2026, 13:52 UTC≈3,630 views3 reactionsread 24 October 2026
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我去,我居然成日更博主了,虽然都是朋友去的,但奖励自己点什么好呢

👍3

23 Oct 2026, 13:48 UTC≈1,540 viewsread 24 October 2026
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【老师名字】:南月 @Miaomhuayuan_bot 【人照评分】:9.5 【颜值评分】:9 【身材评分】:9.5 【服务评分】:9 【态度评分】:9.5 【环境评分】:9 【过程描述】: 朋友们都强烈推荐,说必须冲,高低来试试水。课室位置在建邺的小区,没有门禁,到达科室十分顺利。屋子不大,但装修挺新,房间干净整洁没有什么异味。 刚一见到南月,脸蛋是那种看着舒服的类型,没有任何班味,很有青春女大的感觉,年龄看上去二十岁左右的样子。进屋子里先聊了一会天,聊天沟通上很舒服自然,活人感很强,一点不像是做老师这个行当的,真正的刚下海。 脱了衣服,皮肤雪白干净,虽然有点纹身但无伤大雅。熊摸起来很舒服,有点肉感,软硬适中,可称上品。虽然南月无蛇,但可以简单亲亲,有点可惜。 因为我对服务要求不高,所以简单服务之后就戴套开始正戏。正面进入比较顺利,皮肤摸起来丝滑柔软。侧面做了一会转后入。后入体验极佳,鼙鼓雪白肥美,臀型很漂亮,臀浪一波…

22 Oct 2026, 06:00 UTC≈2,040 viewsread 24 October 2026
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【老师名字】:豆豆 @doudou91dou 【人照评分】:8.5 【颜值评分】:9 【身材评分】:9 【服务评分】:8.5 【态度评分】:9.5 【环境评分】:9 【过程描述】: 由于身边狼友的盛情难却,必须品尝一下这位我也感兴趣了很久的嫩妹老师,直接起手约了pp,超大杯。 老师在建邺区,地方很好找条件也不错。带着激动的心上楼进门,我还有点不好意思,但早有耳闻豆豆是一个很主动放的开的老师。果不其然她主动来搭话,拿拖鞋放包给我还问我要不要休息,一些来自于嫩妹的心理阴影即刻一扫而空。自己洗澡后豆豆给我贴心的擦后背擦腿还上床擦脚,态度这一块。她拍拍床要我躺下,在主动的舌吻和舔胸之间来回几轮,在牛子梆硬后我直接提出69。意外的是豆豆的口技不像嫩妹般青涩,反倒是有很多舌头上的小动作。不过可惜她很敏感,69她觉得很痒,坚持一会儿就倒下了。 接下来继续口+刺激,完全不像嫩妹般的服务让我心花怒放,提出带伞开始。当然,女上她主动来了但不是…

21 Oct 2026, 12:38 UTC≈3,390 viewsread 24 October 2026
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🎰 李李老师联动抽奖 📮 抽奖条件: 🎫 加入-每天都想睡大觉 🎫 加入-潮喷女王李李的贵宾厅 🎁 奖品内容: 100元京东E卡 × 3 💡 活动说明: 化缘了三张100的京东E卡 当福利发给大家了 顺便安利一波身材好气质佳的李李老师 @lilichaopl 📅 开奖日期:(UTC+8) 2026年10月24日 12时00分00秒

21 Oct 2026, 02:12 UTC≈2,350 views0 reactionsread 24 October 2026
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【老师名字】:饺子 @Jzz5311 【人照评分】:8 【颜值评分】:8.5 【身材评分】:9.5 【服务评分】:9 【态度评分】:9 【环境评分】:9 【过程描述】: 二刷饺子,这老师本是尼克和兄弟们的自留款,但是奈何老师哭诉一天只有一两单,心软的神只得把自留款推荐出来了。 人照七八分像,但是真人更有少妇感。课室在江宁的高桥门附近,人是最纯正的云贵川小少妇,人小奶子大,说实话这个身体比例不是从小到大吃洋芋粑估计是吃不出来的,奶子真有F+的奶量,600p的价格陪浴+🐍,再加个顶级乳交,尼玛有点爽。可能是我见识的少,这奶子是我现实生活里见过最牛逼的奶子,没有之一,除了乳交做起来也是蛮舒爽的,冷不丁或有意或无意的叫床实在让我顶不住,次次五分钟缴械。 唉自留款推荐出来了,希望老师如果以后真火了以后可以不忘初心吧,毕竟现在这个南京市场屎里淘金真的太难了,好老师是真不敢推荐出来。

13 Oct 2026, 02:45 UTC≈4,620 viewsread 24 October 2026
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情义千斤不敌胸前四两,只有伪君子和男同才会拒绝丰满的乳房 青春肉体加平E近人,态度超好还超会夸夸的大胸嫩妹小红薯登场 胸奴人绝对不能错过的一款 联系方式: @jieyuhua8 报告: https://t.me/duohereshuishentiyebuhuihao/389

12 Oct 2026, 03:34 UTC≈5,700 viewsread 24 October 2026
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【老师名字】:李李 @lilichaopl 【人照评分】:8.5 【颜值评分】:9 【身材评分】:9.5 【服务评分】:9.5 【态度评分】:9.5 【环境评分】:9 【过程描述】: 看到上了一个御姐系新人老师,点开频道资料写会潮喷,顿时来了兴趣,遂约课前往。 老师课室位置在汉中门附近公寓民宿,不算著名景点,课室进出方便,环境算比较干净的,空气里没什么异味,离地铁也比较近,交通算十分便利的。 打开门映入眼帘的就是一对大胸,人照八成多,可以看出是本人皮肤磨白后的版本。老师主动寒暄递水递拖鞋,闲聊几句一起走进浴室开始陪浴,陪浴服务有花活,此时牛子已经被老师弄的很硬了,打了沐浴露在老师背身过来臀部来回在牛子上蹭,感觉很爽,顺手抓住老师的胸揉捏,真胸,手感很不错,正好一手握,胸型很挺,接近水滴胸。冲洗后就到床上开始正戏。 老师换上黑色小妈裙(就那种旗袍漏修长大腿的裙子,好像是这么叫的),爬上床舔胸起手,舔胸和口的时间很久,大胸在…

11 Oct 2026, 15:36 UTC≈3,700 views4 reactionsread 24 October 2026
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如何注销tg账号: 见上图 别把我当百度用了兄弟姐妹们

👍3🤔1

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

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

“每天都想睡大觉” (@duohereshuishentiyebuhuihao), 9,867 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/duohereshuishentiyebuhuihao.

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.