💚男娘展示💚 姓名:匿名 评价:还是某个自称妖妈S的傻逼男娘,在别人面前装S实际上就是一个无脑下贱的傻逼母畜罢了~既然都这样求饶了那就不公开好了~ ———— #展示 #投稿 #男娘 #beta #sissy
❤9👍1🔥1

Channel
@Pretty_Dogs
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,487subscribers
+567 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002650716639 |
|---|---|
| Type | Channel |
| Username | @Pretty_Dogs |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 57 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/Pretty_Dogs |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 08:56 | 11,487 | -11 |
| 2 Nov 2026, 11:55 | 11,498 | +9 |
| 1 Nov 2026, 15:07 | 11,489 | +4 |
| 31 Oct 2026, 18:38 | 11,485 | +3 |
| 30 Oct 2026, 18:41 | 11,482 | +1 |
| 29 Oct 2026, 21:37 | 11,481 | -4 |
| 28 Oct 2026, 20:48 | 11,485 | -3 |
| 27 Oct 2026, 21:17 | 11,488 | +3 |
| 26 Oct 2026, 19:38 | 11,485 | -3 |
| 25 Oct 2026, 19:41 | 11,488 | +1 |
| 24 Oct 2026, 21:18 | 11,487 | +14 |
| 23 Oct 2026, 20:49 | 11,473 | +1 |
| 22 Oct 2026, 18:01 | 11,472 | +4 |
| 21 Oct 2026, 16:51 | 11,468 | +8 |
| 20 Oct 2026, 09:56 | 11,460 | -2 |
| 19 Oct 2026, 12:27 | 11,462 | +6 |
| 18 Oct 2026, 11:50 | 11,456 | +5 |
| 17 Oct 2026, 11:11 | 11,451 | +4 |
| 16 Oct 2026, 12:47 | 11,447 | +16 |
| 15 Oct 2026, 11:56 | 11,431 | first reading |
24 posts held, back to 2 June 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 40 pages of Telegram’s post history, 20 posts per page.
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 2 November 2026 |
|---|---|
| Posts held | 24 (2 June 2026 – 2 November 2026) |
| Views total | 20,280 |
| Reactions total | 88 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 06:36 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.
Measured directly from 17 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.
907 reactions across 24 posts, in 12 distinct kinds. The most used accounts for 83.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 761 | 83.9% | |
| 🥰 | 86 | 9.48% | |
| 🔥 | 18 | 1.98% | |
| 👍 | 14 | 1.54% | |
| 💔 | 12 | 1.32% | |
| 😘 | 5 | 0.551% | |
| 🐳 | 3 | 0.331% | |
| 🎉 | 2 | 0.221% | |
| 👀 | 2 | 0.221% | |
| 💋 | 2 | 0.221% | |
| 🌭 | 1 | 0.11% | |
| 👏 | 1 | 0.11% |
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 24 of the 24 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 907 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 2 June 2026 to 2 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.
💚男娘展示💚 姓名:匿名 评价:还是某个自称妖妈S的傻逼男娘,在别人面前装S实际上就是一个无脑下贱的傻逼母畜罢了~既然都这样求饶了那就不公开好了~ ———— #展示 #投稿 #男娘 #beta #sissy
❤9👍1🔥1
💚男娘展示💚 姓名:蔍日 年龄:20 ID:@nnluri 展示语:想被大家评价~ ———— #展示 #投稿 #男娘 #beta #sissy
❤16👍1
💚别急,小狗狗。先舔干净了脚趾跟足底,就奖励你这些,被我的酸臭脚焖在小皮鞋当饭盒,捂热烤制的香喷喷的面包哦💚 —————— #转载 #足奴 #足底 #足控
❤14🔥8👍1
💚男娘展示💚 姓名:匿名 评价:一个自称是妖妈S的臭男娘,被我戳穿了其实是足下狗奴傻逼锁奴泄精肉虫的真实面目,但是为了给他留一点在别人眼里的还是个S的尊严,就不公开了呢~ ———— #展示 #投稿 #男娘 #beta #sissy
❤17
#转载 #汉化 #命令方块 #足控 #足底 #足趾 #马赛克 #认知屏蔽 #视觉屏蔽 #羞辱 #beta #censored
❤19👍1
💚龟奴视角💚 —————— 唉,绿帽龟奴又有福了,能从后面看着自己的老婆被黑爹肏得高潮齁哦哦脚直蹬的样子... 视频很短,看看是你先泄呢,还是你老婆先高潮呢? —————— #转载 #足奴 #足底 #足控 #绿帽 #NTR #夫前犯 #BBC
❤37
💚看脚泄精💚 —————— #转载 #足奴 #足底 #足控
❤26👍1
💚不看脚挑战💚 —————— #转载 #足奴 #足底 #足控
❤36🔥1
💚女友の A或B 衣服选择💚 —————— 为你的女友选择一套爱爱用的衣服吧~...等等,谁说跟你爱爱了? —————— #转载 #媚黑 #QOS #BLACKED #NTR
❤53
♠️身体展示♠️ ———————— 你的女友给你展示她的纹身♡♡♡...🖤 她发育极致的白皙肉体上,身体上到处可见的媚黑印记,那对诱人的巨乳周边也纹着的被黑人精子入侵图案,腹部上写着专属于黑人的标签淫纹,配合掰开的骚穴里记录着被许多黑人过度使用散发的精臭味道...她是多么美丽呀♡♡♡...🖤 但可惜...你好像看不见呢?🖤 ———————— #媚黑 #黑桃女 #黑桃纹身 #婊子 #反差 #QoS #BBC #BLACKED #Censored
❤50
💚从夯倒拉评价各种绿母野爹💚 —————— 小绿帽傻狗们喜欢哪个呢?说出来的话肯定会实现的呀~ —————— #转载 #混剪 #反差 #隐奸 #绿母 #羞辱 #开大车 #种付 #NTR
❤28
喷射! —————— #转载 #自慰 #潮吹
❤33👀2👍2
Showing the 12 most recent of 24 posts we hold for @Pretty_Dogs. 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.
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.
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“Beta聚集地💚男娘展示馆” (@Pretty_Dogs), 11,487 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/Pretty_Dogs.
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.