老师名字: 小泡芙 老师电报号: @x_paofu520 硬件: 颜值 4.0(人照完全一致,混血异域风情,大睛萌妹,甜甜的软软的,轻声细语,艺术生妹子。) 妆品 4.25(妆容精致有特点,卧蚕、美瞳,自然且好看。) 身高体重 165cm 49kg (标准身材) 皮肤 3.75(皮肤柔软,手感软滑,有肉感且不胖,好喜欢抱着、搂着。) 胸 4.25(天然脂肪真胸C,手感超好,柔软敏感,乳晕乳头略大。) 腰 4.0(腰部人工马甲线,无赘肉。) 臀 4.25(屁股大且肉感柔软,有弹性。) 腿 3.75(标准腿型,不算长) 足 4.0(小脚嫩,脚型好看) 逼 4.25(人工白虎,很干净,阴唇粉嫩。) 软件: 陪浴 4.5(主动洗鸳鸯浴,洗的很细致。水中箫把我从软口到硬,有素股,从后面抱着她,鸡巴在屁股沟摩擦,双手揉摸大奶子。) 亲嘴 4.25(她的舌吻很软很温柔,瞬间把我拉回校园恋爱的感觉。) 口活 4.25(…

Channel
《屌丝男士》
@diaoshi69
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
6,744subscribers
-28 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002531517219 |
|---|---|
| Type | Channel |
| Username | @diaoshi69 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/diaoshi69 |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 |
|---|---|---|
| 12 Nov 2026, 10:58 | 6,744 | -1 |
| 8 Nov 2026, 07:00 | 6,745 | -16 |
| 4 Nov 2026, 15:59 | 6,761 | -4 |
| 1 Nov 2026, 12:44 | 6,765 | -14 |
| 29 Oct 2026, 22:31 | 6,779 | -7 |
| 26 Oct 2026, 14:14 | 6,786 | -9 |
| 23 Oct 2026, 05:35 | 6,795 | -9 |
| 20 Oct 2026, 10:34 | 6,804 | -5 |
| 17 Oct 2026, 18:55 | 6,809 | -8 |
| 14 Oct 2026, 09:57 | 6,817 | +13 |
| 11 Oct 2026, 05:59 | 6,804 | -2 |
| 5 Oct 2026, 02:39 | 6,806 | +9 |
| 26 Sept 2026, 07:41 | 6,797 | -36 |
| 17 Sept 2026, 00:58 | 6,833 | +4 |
| 13 Sept 2026, 11:39 | 6,829 | -11 |
| 9 Sept 2026, 15:40 | 6,840 | -9 |
| 3 Sept 2026, 23:39 | 6,849 | -8 |
| 28 Aug 2026, 09:26 | 6,857 | +19 |
| 22 Aug 2026, 09:58 | 6,838 | +30 |
| 19 Aug 2026, 10:58 | 6,808 | first reading |
Engagement
42 posts held, back to 22 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 24 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 32.2%
- avg views ÷ 6,744 subscribers
- Avg views / post
- 2,170
- 9 posts measured
- Reaction rate
- 0.123%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 42 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.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 42 (22 April 2026 – 10 November 2026) |
| Views total | 19,540 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 18:13 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
- 169
- Videos
- 49
- Links
- 65
Lifetime counters from Telegram’s own channel header, read 12 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 10s
- Average length
- 10s
Measured directly from 13 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
203 reactions across 39 posts, in 7 distinct kinds. The most used accounts for 88.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 179 | 88.2% | |
| 👍 | 14 | 6.90% | |
| 🔥 | 3 | 1.48% | |
| 👏 | 2 | 0.985% | |
| 🤣 | 2 | 0.985% | |
| 🥰 | 2 | 0.985% | |
| 😁 | 1 | 0.493% |
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 41 of the 42 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 203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 22 April 2026 to 10 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: 1 of 9 posts held from the last 30 days (11.1%) 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).
#小芸 @LLxx321 《论:什么是女友感?》 什么是女友感? 女友感就是见面先抱一会,培养一下感情,不着急走流程。 我让她骑在我腿上,抱着她,摸摸乳头,慢慢硬了,深情接吻。 什么是女友感? 女友感就是毫无风尘味,是良家女子,只因缺钱下海。 和小芸见面,我的感觉不是来嫖娼的,是和女友见面的。 聊聊多日不见的相思算起来已有四个月没见了非常想念~~ 什么是女友感? 女友感就是不固定流程,陪浴、陪床都随意发挥,自然就好。 鸳鸯浴两人全都都打满泡泡,拥抱在一起,激吻素股。 前戏够长,口活六九,亲遍全身。 做爱随心,身体心理同时愉悦。 什么是女友感? 女友感就是事后不催离开,坐在一起抱着聊天。喝水,吃水果,感受释放后的松弛、惬意。 小芸有陪伴,慢慢调情,无风尘味,就像女友一样洗澡做爱,而且特别嫩、特别紧,让我体会到了久违的女友感,别的老师我当炮友,小芸我当作女友。
❤3
📢 《团建活动第二期》 各位家人: 第一期大家参加非常踊跃,现组织第二期团建活动。具体安排如下: 一、活动名额 由团建供应商 小泡芙 @x_paofu520 提供团建补贴 -300优惠券*5人。 1200p-300 = 900p 2000pp-300 =1700pp 二、报名方式 本通知评论区回复 1,即视为报名。先到先得,满 5 人截止。 请确定能参加的同事再报名,不参加的请勿占用名额,已报名同事如无法出席,名额按报名顺序顺延。 需7天内出击,出击2天内提交短评。 三、活动总结 活动结束后须向大鹏提交 100 字以内心得体会一份。 5 份心得将汇编为《小泡芙的团建报告》,于本频道统一发布。 欢迎大家踊跃报名,效果好,就会吸引更多老师报名活动,福利给到各位家人。 特此通知。
👍1👏1🔥1
#兔闪闪 @bulinbulin66 特点: 嫩妹 情绪 爱爱 年龄:⭐️⭐️⭐️ 颜值:⭐️⭐️⭐️ 身材:⭐️⭐️⭐️ 蛇吻:⭐️⭐️⭐️ 服务:⭐️⭐️⭐️ 情绪:⭐️⭐️⭐️ 硬件: 颜值 4(眼睛好看,脸型标准,颜值中上,妈生脸。) 妆品 4.25(妆容不错,美瞳睫毛好看,眼睛灵动,增色不少。) 身高体重 164cm 48kg (标准身材,胸不错) 皮肤 4.25(皮肤偏白,皮肤滑嫩,无瑕疵无纹身) 胸 4.5(C杯🐻,手握感很好,大大的软软的,摸着很舒服,乳晕乳头粉) 腰 4.25(细腰身材,没有赘肉) 臀 4.5(翘臀,屁股有肉,加上手感好,不错) 腿 4.5(大长腿很直很白) 足 4.5(白净小脚干净,有美甲,舔了感觉不错,有情趣) 逼 4.75(下面有修剪,小穴很粉,馒头穴) 软件: 陪浴 4.75(陪浴边洗边抱着缠绵,拥抱亲吻素股+水中萧) 亲嘴 5(用了漱口水后,随意亲吻,爱到…
❤2
📢 《团建活动通知》 各位同事: 为增强团队凝聚力,丰富业余生活,经研究决定,现组织本年度第一次团建活动。具体安排如下: 一、活动名额 由团建供应商 小芸 @LLxx321 提供团建补贴 -300优惠券*5人。 1200p-300 = 900p 2300pp-300 = 2000pp 二、报名方式 本通知评论区回复 1,即视为报名。先到先得,满 5 人截止。 请确定能参加的同事再报名,不参加的请勿占用名额,已报名同事如无法出席,名额按报名顺序顺延。 需7天内出击,出击2天内提交短评。 三、活动总结 活动结束后须向大鹏提交 100 字以内心得体会一份。 5 份心得将汇编为《小芸的团建报告》,于本频道统一发布。 本次为第一次团建,反响良好的话,后续将持续开展。 特此通知。
👍3❤2🔥1
🌸花名:#小芸 💍区域:#闵行区 💦课费:#12p #23pp 联系老师:@LLxx321 老师频道:@xiaoyun6868 小芸岸了一段时间,刚回来,约的抓紧哦 非常不错的妹子,报告: 《小芸成年礼》 https://t.me/diaoshi69/441 《我和青春有个约会》 https://t.me/diaoshi69/436
❤1👍1🔥1
#嘉月 @DSjiayue 特点: 气质 爱爱 女友感 年龄:⭐️⭐️⭐️ 颜值:⭐️⭐️⭐️ 身材:⭐️⭐️⭐️ 服务:⭐️⭐️⭐️ 舌吻:⭐️⭐️⭐️ 情绪:⭐️⭐️⭐️ 硬件: 颜值 4.5(高颜值美女,校花级别,眼睛灵动宛,如白月光。) 妆品 4.5(妆品很好,端庄不卡粉,气质不错) 身高体重 163cm 46kg (标准身材,曲线很好) 皮肤 4.5(皮肤偏白,摸起来特滑,手感超好) 胸 3.5(胸有科技,形状好看) 腰 4.5(腰身线条很好,无赘肉) 臀 4.25(翘臀,腰臀比很好,穿包臀裙从背后抱住很有感觉) 腿 4.5(标准腿型,长且直,肌肉紧实不松) 足 4.25(小脚嫩,脚型好看) 逼 4.25(人工白虎,小蝴蝶形状,内里粉嫩) 软件: 陪浴 4.75(前后有陪浴,鸳鸯浴嬉戏素股,有水中萧;事后还有水中萧) 亲嘴 4.75(大蟒蛇,主动舌吻,特别是做爱感觉好的时候,主动要舌吻) …
❤3
#寒寒 @HanHan_0319 硬件: 颜值 4.25(柔美妩媚,有点网红脸感,耐看好看) 妆品 4.25(卧蚕、美瞳很不错,略卡粉) 身高体重 166cm 48kg (标准身材,大胸大屁股,曲线好) 皮肤 4.0(黄白皮肤,有脐钉,性感) 胸 3.5(C罩杯,胸大穿衣好看) 腰 4.5(小蛮腰曲线非常好) 臀 4.5(屁股大,蜜桃臀) 腿 4.0(腿长有肉,手感不错) 足 4.0(白净干净) 逼 4.25(人工白虎,阴唇较小,偏馒头户型) 软件: 陪浴 5(前后鸳鸯浴,素股,胸推,水中萧都非常到位) 亲嘴 4.5(主动性大蟒蛇舌吻,深吻技术好) 口活 4.5(口活不错,舌头灵活,舔蛋,龟头吞吐) 舔逼 4.5(非常敏感,全程在抖,很少见) 其它服务 (见课表) 屌感 4.25(敏感,操一会就抖动的厉害) 爱爱 4.5(敏感抖动高潮,屁股大后入极品,床上很骚,骚话加buff。意外惊喜事后箫…
#徐小雨 @xuxiaoyu520 特点: 反差 欲女 女上 年龄:⭐️⭐️ 颜值:⭐️⭐️ 身材:⭐️⭐️⭐️ 服务:⭐️⭐️⭐️ 舌吻:⭐️⭐️⭐️ 情绪:⭐️⭐️⭐️ 【沙发激吻】 小雨本人比照片好看,邻家乖乖女形象,床上反差大,哈哈哈。 大胸细腰曲线很好,抱着很舒服,见面聊了两句,就让小雨坐到我腿上,抱在一起,相互抚摸,激吻。 和小雨湿吻,温热且投入,就想电影情节,不像演的。 【鸳鸯浴】 胸C大胸柔软好看又好玩。浴室鸳鸯浴,除了互洗,又是拥抱热吻。 就像好久不见的炮友,根本吻不够。 【精油按摩】 小雨乳房上涂上精油,趴在我身上摩擦,亲吻。不胖不瘦刚刚好,感受妹子的大奶子在我身上柔动,很像日本AV里气垫床的玩法。 【口交与六九】 妹子的口技很不错,还说喜欢吃我的鸡吧,口水都溢出来。一边看一边眼神迷离的看着我,好色淫荡的表情,骚男遇到骚女,绝配。 我让妹子转过身,给妹子舔逼,美逼无异味,我技术娴熟,妹子好喜欢…
❤3👍1
@sudaji68 金牌培训导师 #苏妲己 金牌培训导师苏妲己没去体验过,这辈子白活了。 cj这么久,妲己是我遇到花样最多的,服务内容最高的(我一般不做SM)。 【鸳鸯浴】 在陪浴环节有胸推、素股、水中萧,胸推时打上沐浴露,上面胸对胸,下面双腿夹住鸡鸡,疯狂的摩擦……这些都是开胃菜。 【水磨胸推】 洗好帮擦,趴在床上开始做B面服务,首先是水磨,背面喷上水溶性液体,老师用大奶子全身都推一遍,非常之舒服,特别是阴毛小刷子刷背部很是骚浪。 【酥麻毒龙】 屁股翘起来做毒龙,同时手指蹂躏肉棒和蛋蛋,全身酥麻像是触电一样的感觉,差点忍不住就射了,忍不住切记赶紧叫停。 【冰火口活】(赠送) 真正的冰火口,冷热切换的口,口活超好,非常刺激,直接爽到起飞。 【跳弹爱爱】 这也是第一次体验,做爱的时候,用一个小跳弹放到逼里,然后女上坐上来,不仅能感受到逼逼的紧握,还能感受到里面跳弹不停的震动。老师逼逼很会夹,体力也是很好,女上很是厉害。…
❤3👍1
青春不迷路2.0重生版 有不错的半价和白嫖活动 https://t.me/+oNBlOOYKilNhOTVl
❤1
#蕊蕊 @ruirui8686 硬件: 颜值 4.25(女大,清纯,小白纯,颜值虽不算惊艳,但越看越好看) 妆品 4.25(清爽淡妆,无卡分) 身高体重 163cm 44kg (标准身材,略瘦) 皮肤 4.5(少见的白皮肤,皮肤紧致,无纹身,手感细腻) 胸 3.75(天然B罩杯,手感柔软舒服,粉嫩乳头乳晕) 腰 4.25(细腰无赘肉,曲线不错) 臀 4.25(小翘臀,有些肉,弹性不错) 腿 4.25(长腿,显身材,白净好玩) 足 4.25(白净干净,可亲可玩) 逼 4.5(人工白虎,站立一线天,小蝴蝶型,对称好看好玩,很粉很美) 软件: 陪浴 4.5(主动陪浴,主动素股,水中萧,服务到位,刚刚好) 亲嘴 4.25(情人亲吻的干净,从浅入深,法式湿吻) 口活 4.0(整体口活不错,小口包裹感很好) 舔逼 4.5(好看又好舔,很敏感舔了直抖,六九舔的感觉更好) 其它服务 (见课表) 屌感 4.5…
❤2
Showing the 12 most recent of 42 posts we hold for @diaoshi69. 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 recorded as deleted after publishing
We recorded 2 posts on @diaoshi69 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
- 18 August 2026
- Most recent seen missing
- 3 November 2026
- Median time before seen missing
- 43 days
- Seen missing in the last 30 days
- 1
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 8 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@diaoshi69 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 3 posts, 8 August 2026 – 9 August 2026
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“《屌丝男士》” (@diaoshi69), 6,744 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/diaoshi69.
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.