超级淫荡的巨乳人妻母狗,被金主带出去露出调教,身材超棒前凸后翘,一线天馒头穴屁股又大又圆后入视角极佳 群主:我这辈子还没摸到过这种尺寸的奶子😭 #巨乳 #肥臀 #口交 #反差 #黑丝 #无套 #骚逼 点击这里观看精彩资源
❤5👍3💯2🔥2😍2
![Telegram profile photo for 夏日狂想曲[NSFW]❤️](https://cdn.tgregister.com/av/29/297d65b005980587e856ea03b1c4a7c6db01c4147e2a551c726b44075110112e.jpg)
Channel
@fcxsb
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
48,534subscribers
+7,686 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001362531812 |
|---|---|
| Type | Channel |
| Username | @fcxsb |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 21 October 2026 |
| Measurements held | 45 |
| Confirmed unchanged | 1 time, most recently 21 October 2026 |
| On Telegram | t.me/fcxsb |
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 9 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Oct 2026, 15:36 | 48,534 | +62 |
| 20 Oct 2026, 13:59 | 48,472 | +83 |
| 19 Oct 2026, 15:28 | 48,389 | +112 |
| 18 Oct 2026, 15:28 | 48,277 | +95 |
| 17 Oct 2026, 15:30 | 48,182 | +131 |
| 16 Oct 2026, 15:51 | 48,051 | +96 |
| 15 Oct 2026, 14:41 | 47,955 | +41 |
| 14 Oct 2026, 17:45 | 47,914 | +139 |
| 13 Oct 2026, 10:00 | 47,775 | +228 |
| 9 Oct 2026, 03:57 | 47,547 | +427 |
| 4 Oct 2026, 16:56 | 47,120 | +1,031 |
| 26 Sept 2026, 16:59 | 46,089 | +871 |
| 19 Sept 2026, 15:57 | 45,218 | +271 |
| 17 Sept 2026, 01:19 | 44,947 | +180 |
| 15 Sept 2026, 04:02 | 44,767 | +146 |
| 13 Sept 2026, 11:58 | 44,621 | +169 |
| 11 Sept 2026, 16:15 | 44,452 | +159 |
| 9 Sept 2026, 04:20 | 44,293 | +300 |
| 5 Sept 2026, 16:58 | 43,993 | +218 |
| 3 Sept 2026, 17:16 | 43,775 | first reading |
149 posts held, back to 28 July 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 150 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 21 October 2026 |
|---|---|
| Posts held | 149 (28 July 2026 – 21 October 2026) |
| Views total | 666,765 |
| Reactions total | 1,218 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Oct 2026, 15:28 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 43 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.
3,355 reactions across 149 posts, in 14 distinct kinds. The most used accounts for 43.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,472 | 43.9% | |
| 👍 | 689 | 20.5% | |
| 😍 | 420 | 12.5% | |
| 🔥 | 364 | 10.8% | |
| 💯 | 226 | 6.74% | |
| 👏 | 119 | 3.55% | |
| 🎉 | 17 | 0.507% | |
| ❤🔥 | 16 | 0.477% | |
| 🤣 | 8 | 0.238% | |
| 😭 | 6 | 0.179% | |
| 🫡 | 6 | 0.179% | |
| 🤔 | 5 | 0.149% | |
| 🥰 | 5 | 0.149% | |
| 💋 | 2 | 0.06% |
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 149 of the 149 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 3,355 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 149 most recent posts we hold, published 28 July 2026 to 21 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.
超级淫荡的巨乳人妻母狗,被金主带出去露出调教,身材超棒前凸后翘,一线天馒头穴屁股又大又圆后入视角极佳 群主:我这辈子还没摸到过这种尺寸的奶子😭 #巨乳 #肥臀 #口交 #反差 #黑丝 #无套 #骚逼 点击这里观看精彩资源
❤5👍3💯2🔥2😍2
推特淫妻大神带自己老婆被各种男人玩弄,良家人妻感觉超棒,一边被干一边吃鸡巴,非常淫荡 群主:怪不得说没有耕坏的地只有累死的牛呢😳 #群p #少妇 #绿帽 #黑丝 #口交 #多人 #母狗 点击这里观看精彩资源
❤4👍4😍3🔥2
群主的资源搜索群❤️❤️❤️ https://t.me/+BSrZ5XLyMcUxODM1
❤8👍4
青岛刚毕业兼职公司前台清纯女神,被公司渣男套路到床上,撅起屁股被后入爆操直接射进嘴里 群主:我靠,这个大屁股真带劲啊,好想摸一下😍 #肥臀 #黑丝 #口交 #母狗 #反差 #无套 点击这里观看精彩资源
❤5👍3💯3🔥2😍2
湖北恩施清纯乖巧的大学生在床上也是个骚货,被操的叫声淫荡喜欢被后入肥臀 群主:看这种乖乖女被操真的好刺激😍 #学生 #少女 #反差 #无套 #奶子 #母狗 点击这里观看精彩资源
👍5🔥5❤3😍2
江苏无锡艺术舞蹈生学妹和男友外出开房私拍视频流出,非常卖力给男友吃鸡巴,大屁股坐在身上榨精,被干的淫水超多 群主:家人们 这个我是真喜欢啊,感觉水润水润的😍 #后入 #无套 #口交 #学生 #少女 #呻吟 点击这里观看精彩资源
❤16👍3👏3💯3😍2
超级极品的高颜值大学生大尺度私拍视图流出,又清纯又可爱的摆出各种姿势诱惑,戴上眼镜气质十足 群主:这个好带劲,感觉这真是个大学生😳 #写真 #黑丝 #jk #制服 #反差 #少女 #母狗 点击这里观看精彩资源
❤7👍6🔥4💯2
清纯高颜值女大下海拍摄美足大尺度私密资源,线下给金主足交非常淫荡 群主:足交真的爽吗,看起来一般般啊😳 #黑丝 #学生 #少女 #母狗 #丝袜 #足控 点击这里观看精彩资源
👍4👏4❤3🔥3
河南洛阳母狗大学生和男友异地恋经常出轨大二学弟,在酒店各种姿势做爱,给小男友口交射到嘴巴里,张开大腿等着被插入,女上位非常主动 群主:我最讨厌这种出轨的骚婊子了,让我操死她😡 #黑丝 #无套 #后入 #骑乘 #反差 #学生 点击这里观看精彩资源
❤9👍6😍5👏4🔥3
推特极品大学生福利姬被调教成了母狗,在各种地方露出自慰,人越多她越兴奋 群主:我靠,这个胆子好大,那么多人也不怕被发现吗😳 #露出 #网黄 #自拍 #自慰 #母狗 #黑丝 点击这里观看精彩资源
👍7❤4🔥4💯2
快手骚逼小网红私拍给榜一大哥的大尺度自拍自慰视频流出,穿着黑丝渔网摆出各种拍摄,母狗味十足 群主:感觉快手里的网红很多都是鸡😳 #自拍 #母狗 #反差 #网红 #奶子 #自摸 点击这里观看精彩资源
👍6❤4😍4🔥3
奶茶店小美女很喜欢给男友口,嘴巴含住都不想松口,肥臀被后入的臀浪乱颤 群主:日他妈的,为什么我的鸡巴就没人吃啊😭 #大屁股 #口交 #少女 #反差 #后入 #母狗 点击这里观看精彩资源
❤7🔥4👍3👏3💯2
Showing the 12 most recent of 149 posts we hold for @fcxsb. 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.
@fcxsb edited 3 posts 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.
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.
@fcxsb 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 21 October 2026 — this entry's latest reading, not the date you are reading this.
“夏日狂想曲[NSFW]❤️” (@fcxsb), 48,534 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/fcxsb.
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.