可惜不是很吃枫富爱的颜,如果是枫哥,梭哈几个月的出击资金也得冲😆

Channel
周可的殿堂
@kurtchowpalace
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
593subscribers
+10 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002188111161 |
|---|---|
| Type | Channel |
| Username | @kurtchowpalace |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/kurtchowpalace |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:27 | 593 | +10 |
| 8 Aug 2026, 03:20 | 583 | no change |
| 7 Aug 2026, 14:02 | 583 | first reading |
Engagement
20 posts held, back to 10 May 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 110.1%
- avg views ÷ 593 subscribers
- Avg views / post
- 653
- 4 posts measured
- Reaction rate
- 0.133%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 20 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. It is computed over the 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 August 2026 |
|---|---|
| Posts held | 20 (10 May 2026 – 1 August 2026) |
| Views total | 2,611 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:20 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.
Reaction mix
13 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 76.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 76.9% | |
| 😨 | 3 | 23.1% |
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 11 of the 20 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 May 2026 to 1 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.
Recent posts
#探索报告 张星岚 @Zxinglan 厚嘴唇性感型御姐,人照 9 成,颜值身材服务情绪价值都在标准之上,戴眼镜更美。全面型选手,选她总不会出错 星岚 165 左右标准身材,黄白皮手感不错。她说去漂流晒黑了,之前皮肤更好。🐻B+ 但瑕不掩瑜,她乳头是少有的凹陷类型,调情时轻轻吮吸可以把它吸出来,有得食有得玩 床上星岚服务跟预期一样好,大蟒蛇🐍毫无保留,鲍鱼清爽干净反馈极好,濑过返寻味。本来今天状态并不好有些疲软,星岚的口活 buff 加持下还是硬撑起来,并且越做越硬,无论传教士还是后入都路感清晰,夹得很紧,最后顺利梅开二度🚀 最后,临走前妹妹张雪过来准备双飞,不过衣衫不整就没好意思打照面。哪天状态好想打两个,她们姐妹必然是首选😆
❤2
2天6p顶不住,休息一下补报告🥵
#探索报告 陈意礼 @chengbao1111 排骨嫩妹,频道照片是网图,真人颜值还不错,20岁左右,体重 80 斤左右,身高 162 左右,黄皮没纹身,胸对 A 要不起。 陈意礼刚开课几个月,而且佛系开开停停,很多东西还不懂,得靠师兄弟调教。口活只会简单舔舔,只能简单 kiss 没🐍,传教后入也比较死鱼,没什么反馈。并不是她态度不好,而是真的不懂,而且人也比较 i,熟悉之后话才会话多和爱笑。 总结,陈意礼主打吃个嫩,而且不是精神小妹,喜欢排骨嫩妹可以冲,服务党情绪价值党劝退。
#探索报告 小太阳 @ttxtymm 24 年就关注的频道,不算特别有眼缘一直没去,最近恰巧有次被鸽就临时约了。人照 8 成,真人比频道略瘦一些,🐻对a,黄皮有些许纹身。态度不错,聊天挺舒服的,但只有洗吹做。 可能因为身体瘦弱不耐桩,她挺在意正戏时间的,甚至会主动女上加快出水。不过说实话她女上技术的确好,夹得很紧很舒服,所以我也任由她操盘。床上反馈基本是静音模式,无论她主动还是我主动,只有啪啪声和喘气声,有点距离感。 总结由于预期不高体验还行,600p 里硬件软件都算标准以上,缺点无 kiss 无 69 胸a。
❤1
#探索报告 艾米 @cccccccllllll 佛山名师,真人像舒畅,轻熟御姐,但整体颜值还是在线 艾米是服务型老师,水萧、回龙萧、冰火样样精通,带套可以指入。课间也不闲着,按摩有模有样,聊天小能手,情绪价值是拉满的,难怪在佛山这么火 相比之下,正戏上艾米就略显保守。🐍只能说是限量供应,做爱配合度高但假叫且有点催。尤其是后入,第 2p 换后入才两三分钟就说受不了要手打。我也不好强人所难,最后 95 出水 总结一下,艾米硬件标准之上,服务态度和技术不错,缺点做爱流程化
#团长精选 莉莉 @lilylovesx 氧气系素人女友,颜值用惊艳形容不为过,性格温柔热情,眉眼间却带破碎感。我感觉自己要沉船了。 莉莉完全的素人感,妈生脸无科技,全身皮肤白净无纹身,讲话声音好听轻声细语,在学校绝对是班花级别。 没想到在床上莉莉却是另外一番景象,主动又热烈,湿吻、做爱都像是热恋期的情侣,让我沉迷温柔乡无法自拔,短暂两小时真如白驹过隙。 莉莉太完美不属于这个圈子,大概很快会有沉船富哥包养或赚够目标上岸。莉莉开课我会 P0跟进,各位师兄弟也可抓紧机会一亲芳泽。
馆妹赛级白女包时才 1000 刀,如果是 2020 年前的馆妹那将是抵到爆。阿美莉卡还是吃太好了
❤1
#探索报告 佐佐 @ZuZuDm 温柔型御姐,裸足接近 168 标准身材,🐻天然C,颜值中上,跟频道 AI 照片只能说有点神似,不到 7 成像吧。硬件当淘宝模特是没问题,不足就是不年轻了,皮肤没嫩妹紧致 佐佐算是半服务型选手,该有都有,陪浴洗得仔细,口活标准水平,🐍 和 69 也大方不限量。比较意外的是佐佐作为御姐做爱反馈却有点青涩,会嗯嗯啊啊地闭眼享受,不会催或者说夸张的骚话 总体来讲,佐佐作为 800p 御姐算是标准水平,不功不过,喜欢御姐可以打卡。
#团长精选 甜御魅魔小娘子 @Xiaoniangziyydss 上课体验堪比 AV 真人 POV,调情做爱都是顶中顶,真是太爱了。 硬件方面小娘子人比照美,长发及腰,妆容狐媚精致,简直是长黑直版明日花绮罗。身材 163 左右,皮肤白皙,细枝硕果,🐻C+水奶传教乳摇明显。 魅魔之所以是魅魔,除了出众的颜值外,关键在于她很懂男人想要什么。小娘子带上金边眼镜御到不行,再加盯射口水 play 和 dirty talk ,简直是御姐控福音。交手不出几回合,小娘子看穿我 xp,直接美鲍窒息坐脸,把她舔爽后她直接圣水淋我🐔儿上,只感觉更硬了😆 正戏上小娘子当然绝对不可能差,女上摇摇车、后入、侧入、传教样样精通。最厉害还是她全程在线的淫语和微表情,时而吸吮我的手指,时而把脚塞进我嘴里,一边做一边暗暗赞叹"她怎么这么会啊" 抛开女友感不谈,单论床上体验,小娘子大概是我约过最佳的床伴,她来广州我会一直返
❤3
#探索报告 混血洋酒依娜 @yinahenmei 高颜值小只马选手,人照 9 成,美瞳加持下卡姿兰大眼睛精致得像宝石,纤瘦嫩妹身材,正常白皮。 依娜天然有种高冷的气质,不过实际态度不错,事前事后伴浴都洗得很仔细,床上配合度很高,服务完全不偷懒。印象最深的是依娜的口手并用的绝技,就像失传多年的辣手摧花体验卡,我不禁感叹"为什么手也能这么爽" 作为颜 🐶 跟依娜 🐍 真是最好的春药,马上就想开波。没想到🇺🇦上来就是全场紧逼,拼劲全力前后上下求索都难以突围,最终只能幸福交代在依娜身上。 总结一下,依娜颜值高服务好,在同水平课费的老师里也非常能打,属于必返选手。就是课时有点紧,如果 pp 90 分钟就好了。
#探索报告 Nina (洋酒中介 @Russos888) 俄妹大洋马,裸足 176 大骨架,🐻C+大白兔,脸虽跟照片不太像,但也是符合东亚审核的大美女,整体有点 Shinaryen 的感觉。 原本看照片以为会是高冷御姐类型,真人感觉更像邻家姐姐,眼里笑盈盈的,很有亲和力。无论是陪浴还是前戏,Nina 都给足情绪价值,口活温柔舒服,🐍吻小蟒蛇。 正戏其实心理上的爽感大于生理的。Nina 是我约过最难驾驭的大车,就像开船一样,有点顶不动和不够紧(当然这是我的问题 🥹)。不过反过来,让 Nina 女上桩我倒是爽得飞起,地表最强女桩机 😆 因为约 Nina 是临时决定的,此前已经上了两节课,所以🐔状态不稳定,Nina 也没有不耐烦,重新给我起机。最终干到身水身汗终于顺利发射 🥵 总结大洋马体验非常不错,不过也要量力而行,另外沟通上常用英语口语就可以,不行再手机翻译。各位师兄弟多多帮衬,让 Nina 留在广州
Showing the 12 most recent of 20 posts we hold for @kurtchowpalace. 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.
Citation-graph rank
Citation-graph rank — 727,437 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“周可的殿堂” (@kurtchowpalace), 593 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/kurtchowpalace.
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.