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Channel
@ksf688
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
43,437subscribers
+3,582 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003434606438 |
|---|---|
| Type | Channel |
| Username | @ksf688 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 October 2026 |
| Measurements held | 45 |
| Confirmed unchanged | 1 time, most recently 23 October 2026 |
| On Telegram | t.me/ksf688 |
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 97% 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 |
|---|---|---|
| 23 Oct 2026, 03:31 | 43,437 | +32 |
| 22 Oct 2026, 02:59 | 43,405 | +46 |
| 20 Oct 2026, 22:37 | 43,359 | +44 |
| 19 Oct 2026, 21:45 | 43,315 | +55 |
| 18 Oct 2026, 19:00 | 43,260 | +21 |
| 17 Oct 2026, 15:28 | 43,239 | +38 |
| 16 Oct 2026, 14:51 | 43,201 | +37 |
| 15 Oct 2026, 11:29 | 43,164 | +26 |
| 14 Oct 2026, 14:37 | 43,138 | +49 |
| 13 Oct 2026, 06:56 | 43,089 | +153 |
| 9 Oct 2026, 02:21 | 42,936 | +164 |
| 4 Oct 2026, 13:41 | 42,772 | +367 |
| 26 Sept 2026, 07:16 | 42,405 | +139 |
| 19 Sept 2026, 08:40 | 42,266 | +67 |
| 17 Sept 2026, 00:21 | 42,199 | +127 |
| 15 Sept 2026, 00:20 | 42,072 | +85 |
| 13 Sept 2026, 10:19 | 41,987 | +105 |
| 11 Sept 2026, 12:58 | 41,882 | +135 |
| 8 Sept 2026, 19:16 | 41,747 | +234 |
| 5 Sept 2026, 09:39 | 41,513 | first reading |
515 posts held, back to 4 August 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 179 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. It is computed over the 179 of 196 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 October 2026 |
|---|---|
| Posts held | 515 (4 August 2026 – 23 October 2026) |
| Views total | 551,963 |
| Reactions total | 514 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Oct 2026, 21:56 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.
Lifetime counters from Telegram’s own channel header, read 23 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
1,053 reactions across 386 posts, in 7 distinct kinds. The most used accounts for 61.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 642 | 61.0% | |
| 👍 | 335 | 31.8% | |
| 🤩 | 45 | 4.27% | |
| 🎉 | 20 | 1.90% | |
| 🔥 | 9 | 0.855% | |
| 👏 | 1 | 0.095% | |
| 🥰 | 1 | 0.095% |
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 427 of the 515 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 1,053 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 515 most recent posts we hold, published 4 August 2026 to 23 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.
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作者: #海角社区乱伦 #真实小王子 标题:老妈洗完澡主动摸我小鸡子被我草 我又接着摸我妈屁股,我妈也主动摸我的鸡巴,我发现我有个问题,就是晚上的鸡巴没有白天起来的时候硬,昨天晚上唯一的不足就是我的鸡巴不太硬。我妈开始是隔着我的内裤摸的,我直接把鸡巴掏出来让我老妈帮我撸撸 点击此处观看完整视频
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作者: #海角社区乱伦 #与模特妹妹的日常 标题:和妹妹去斐济旅游,手扣她的骚逼,淫液喷的我满手都是 妹妹最喜欢我扣她的骚逼,把手指伸进去慢慢的抽查,慢慢的扣她的G点,每次都能把我的手弄得全是淫水,把妹妹弄爽了就会趴着身子吃我的鸡巴,技术杠杠的,弄得我欲仙欲死,看我欲罢不能的样子,妹妹干脆直接坐了上来 点击此处观看完整视频
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作者: #海角社区乱伦 #姐姐的奶味 标题:骚货老姐正在直播,直接拉着老姐开操太刺激了 我直接把老姐按在床上,亲吻老姐粉嫩嫩的乳房,太有感觉了,老姐即紧张又兴奋,因为直播还开着,老姐怕听见,我说没事关着门听不见,我让老姐给我吃鸡巴,老姐直接跪在地上吃起来,吃的那叫一个香 点击此处观看完整视频
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作者: #海角社区乱伦 #善良的小嫂子 标题:趁同事熟睡,插入我嫂子流满爱液的身体 我看着嫂子那优美的曲线,和诱人的酮体,当即就脱下裤子,搂着嫂子的头,让嫂子给我口,而嫂子也是很配合的张开她的小嘴,一把含住我的龟头,刚口一会儿,嫂子就开始给我玩深喉,才深喉了有两分钟,我就有种想射的感觉 点击此处观看完整视频
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作者: #海角社区乱伦 #我的妹妹不可能这么可爱 标题:SP耳光口爆,我的妹妹不可能可爱,她真是个清纯反差婊 让妹妹换了丝袜后就让她跪着撅着屁股,等着让我来打她。她很喜欢让我打她,我们之前去了一个sm圈子的酒吧,在哪玩游戏输了她被别的S打了几个耳光和屁股,她说只有疼痛的感觉没有快感,然后我打了几下,她呻吟的我鸡巴都硬了 点击此处观看完整视频
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作者: #海角社区乱伦 #枪枪到肉 标题:约的一个精神小妹,大姨妈没结束闯红灯了 吃了一会我迫不及待想插入小嫩穴,衣服很方便,漏出粉嫩肥美的鲍鱼,我估计她也想了,毕竟好多天没操了。我插进小穴,真的太紧了紧的鸡巴抽插紧紧的包裹着,打着奶子,边打一边草,她控制不住想叫还不敢叫 点击此处观看完整视频
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作者: #海角社区乱伦 #奶味撩人 标题:微露脸视频,孕妈想挨操被射的满嘴都是 粉丝让奶味发露脸的,先发一个微露脸的吧,奶味想让爸爸们狠狠的辱骂和射屏,那样奶味会很有动力的,第一次发露脸视频还是很紧张的,但是爸爸们喜欢就是母狗的动力 点击此处观看完整视频
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作者: #海角社区乱伦 #善良的小嫂子 标题:带骚嫂子办公室暴露,直接内射嫂子 后来看了一会骚嫂子的大胸,感觉不够过瘾,就带着嫂子在公司门后直接在楼道里就给我吃起来了鸡巴。听见有人过来了,赶紧拉着嫂子去老板的办公室,哪里一般人不会进来,所以很安全,就让嫂子坐在老板的座位上开始了发骚 点击此处观看完整视频
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Showing the 12 most recent of 515 posts we hold for @ksf688. 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.
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 23 October 2026 — this entry's latest reading, not the date you are reading this.
“海角社区母子乱伦合集” (@ksf688), 43,437 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/ksf688.
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.