河南洛阳175大长腿模特身材高颜值小母狗私拍性爱视频资源流出,被男友用大鸡巴抽打脸蛋,带着肛塞被后入骑乘,情趣狗链带上去被插的白浆流出,叫床声非常淫荡 群主:这个腿我是真能玩一年😳 #少女 #自拍 #母狗 #自慰 #反差 #学生 点击这里观看精彩资源
❤4💯4🔥3👍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: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
42,865subscribers
+2,017 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 | 26 August 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 26 August 2026 |
| On Telegram | t.me/fcxsb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 05:04 | 42,865 | +113 |
| 25 Aug 2026, 04:39 | 42,752 | +130 |
| 24 Aug 2026, 04:59 | 42,622 | +263 |
| 22 Aug 2026, 13:22 | 42,359 | +190 |
| 21 Aug 2026, 00:18 | 42,169 | +146 |
| 20 Aug 2026, 03:33 | 42,023 | +103 |
| 19 Aug 2026, 06:08 | 41,920 | +116 |
| 18 Aug 2026, 07:03 | 41,804 | +103 |
| 17 Aug 2026, 10:04 | 41,701 | +237 |
| 15 Aug 2026, 20:38 | 41,464 | +99 |
| 14 Aug 2026, 11:38 | 41,365 | +33 |
| 13 Aug 2026, 04:26 | 41,332 | +94 |
| 12 Aug 2026, 05:35 | 41,238 | +80 |
| 11 Aug 2026, 06:37 | 41,158 | +77 |
| 10 Aug 2026, 06:51 | 41,081 | +108 |
| 9 Aug 2026, 05:02 | 40,973 | +104 |
| 8 Aug 2026, 05:04 | 40,869 | +21 |
| 7 Aug 2026, 18:15 | 40,848 | first reading |
52 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 40 pagesof 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 25 August 2026 |
|---|---|
| Posts held | 52 (28 July 2026 – 25 August 2026) |
| Views total | 713,800 |
| Reactions total | 1,065 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Aug 2026, 04:05 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 24 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.
1,065 reactions across 52 posts, in 13 distinct kinds. The most used accounts for 44.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 475 | 44.6% | |
| 👍 | 200 | 18.8% | |
| 😍 | 149 | 14.0% | |
| 🔥 | 93 | 8.73% | |
| 💯 | 85 | 7.98% | |
| 👏 | 30 | 2.82% | |
| 🎉 | 8 | 0.751% | |
| ❤🔥 | 6 | 0.563% | |
| 🤣 | 6 | 0.563% | |
| 😭 | 5 | 0.469% | |
| 🤔 | 5 | 0.469% | |
| 💋 | 2 | 0.188% | |
| 🥰 | 1 | 0.094% |
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 52 of the 52 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 1,065reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 52 most recent posts we hold, published 28 July 2026 to 25 August 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.
河南洛阳175大长腿模特身材高颜值小母狗私拍性爱视频资源流出,被男友用大鸡巴抽打脸蛋,带着肛塞被后入骑乘,情趣狗链带上去被插的白浆流出,叫床声非常淫荡 群主:这个腿我是真能玩一年😳 #少女 #自拍 #母狗 #自慰 #反差 #学生 点击这里观看精彩资源
❤4💯4🔥3👍2😍2
陕西西安旅游学院大三小母狗穿着古装化身飞天仙女服务男友,骑乘位表情超级骚,没想到被男友把私拍视频分享给好友导致流出 群主:这种要是被熟人看见了该怎么办啊😳 #大学生 #cos #古装 #反差婊 #口交 #美女 点击这里观看精彩资源
❤5👍4😍3🔥2
河北某公司会计接口出差出轨细狗渣男,经常骗男友在公司加班,实际上和细狗在酒店大战,骑乘后入各种姿势都会 群主:这个鸡巴确实有点小,还没群主的大🤣 #口爆 #后入 #口交 #露脸 #反差婊 #母狗 点击这里观看精彩资源
❤13🔥5💯3👍2😍2
浙江温州职业大学真实素人情侣自拍私密资源流出,刚上大二的的反差小母狗身穿情趣渔网袜和男友在学校旁边的小宾馆无套抽插,粉嫩的小穴总是在年轻的时候就被玩坏了 群主:以后又是一个38.8才能娶回家的女人啊😭 #情侣 #母狗 #反差婊 #颜值 #贫乳 #黑丝 点击这里观看精彩资源
❤8👍3🔥3😍3
江苏连云港喜欢玩cos的清纯小女友,被大鸡巴金主爆操性爱视频流出,清纯可爱脸蛋张开嘴巴吃大鸡鸡,画面超级淫荡,被无套狂插后入内射 群主:为什么他的鸡巴那么大啊,好羡慕😭 #洛丽塔 #cos #少女 #自拍 #学生 #黑丝 点击这里观看精彩资源
❤16🔥5👍3👏3😍3❤🔥1
河南洛阳微胖巨乳大学生和男友的性爱私拍资源流出,肉感十足的的身体一线天馒头逼,先是无套爆操后面又口爆一嘴,这种小坦克就是骚 群主:我真的超爱馒头逼😍 #少女 #情侣 #自拍 #反差婊 #母狗 #大奶 点击这里观看精彩资源
❤13💯5👍3😍2
调教极品人妻少妇,在户外露出寻找刺激,跪地上给情人深喉吃鸡被打脸,浓浓的精液全射在了嘴巴里 群主:这个人射了好多啊,怎么做到的😳 #露出 #口爆 #反差婊 #母狗 #后入 点击这里观看精彩资源
❤11👍4🔥3😍3
博主 #致命舒芙蕾 身材很有味道,群主非常喜欢😋
👍7❤5😍4
湖北恩施高颜值人妻偷情资源泄密,被大鸡巴情人带去公厕疯狂后入,深喉口交样样精通,自己掰开骚蝴蝶逼求着被操 群主:为什么我就找不到这种女朋友啊😭 #少妇 #自拍 #大奶 #反差 #骑乘位 #母狗 点击这里观看精彩资源
❤9💯4😍4👍3
福建龙岩的刚上大学的地陪小姐姐,被渣男套路一顿日料就带去酒店开房,骚母狗穿着情趣内衣被大鸡巴后入爆插 群主:这种嫩嫩的妹妹去哪里找啊😭 #后入 #双马尾 #cos #素人 #少女 #大学生 点击这里观看精彩资源
❤10🔥3😍3🎉2👍2
四川成都微胖小美女做爱资源泄密,巨乳可爱美少女和男友啪啪 奶子被操的疯狂晃动,毛多黑森林性欲非常旺盛,穿着情趣JK制服被男友狂操 群主:这种奶子形状真漂亮,感觉又小又大的,好喜欢😍 #少女 #大奶 #无套 #学生 #母狗 #自拍 点击这里观看精彩资源
👍9❤8🔥4👏3💯3💋2
河北师范大学生素人美女被男友流出做爱视频,反差骚母狗的大屁股被后入爆操 群主:真是好逼都让狗日了,我好嫉妒他啊😭 #反差 #良家 #大学生 #肥臀 #母狗 #后入 点击这里观看精彩资源
❤10🔥5👍3💯3
Showing the 12 most recent of 52 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.
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 26 August 2026 — this entry's latest reading, not the date you are reading this.
“夏日狂想曲[NSFW]❤️” (@fcxsb), 42,865 subscribers as measured 26 August 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.