#小团团 @xiaotuantuany 留名:云不辞山 @KJRHXZT001 近日看到有水友说到小团团,想起来去年有好友去了后给我大力好评,可惜当时我正赶上工作变动,没有成行。这次也是赶紧去约上了。 这40度的天气里出击,浑身都要被烤焦了,来到教室,进门印入眼帘的就是妹妹精致的萝莉娃娃脸,视线接着往下走,一米六左右的身高,穿着露背小短裙,直接揽进怀里伸手从妹妹的背直接往下摸到翘臀,rua了几下,手感相当棒了,来到沙发闲聊。随着妹妹衣服的褪去,一身匀称的身材也是展现了出来,接近C的饱满凶器和圆润的蜜桃翘臀直接让兄弟也是肃然起立。 洗澡的过程妹妹也是洗的相当仔细,不仅是正面3点,而是前后上下都洗的干干净净的,洗完也是帮我认真擦拭干净。 来到床上让妹妹换上我带的情趣内衣,妹妹这边是有自备的,不过我认为都太可爱了,我喜欢性感一点的,看着妹妹穿上展现性感的身材,再看着精致的娃娃脸,两种气质的反差感直接让我邦邦硬啊,妹妹的服务从上…

Channel
CDC风俗评鉴指南
@CDcj6666
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
139subscribers
+0 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001098353635 |
|---|---|
| Type | Channel |
| Username | @CDcj6666 |
| Created | Between 1 September 2016 and 28 February 2018— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/CDcj6666 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:18 | 139 | no change |
| 13 Aug 2026, 22:03 | 139 | first reading |
Engagement
8 posts held, back to 16 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2418.2%
- avg views ÷ 139 subscribers
- Avg views / post
- 3,360
- 4 posts measured
- Reaction rate
- 0.02%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 8 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 2 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 August 2026 |
|---|---|
| Posts held | 8 (16 July 2026 – 2 August 2026) |
| Views total | 13,445 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 22:03 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.
What this channel posts
- Video runtime
- 33s
- Average length
- 11s
Measured directly from 3 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.
Reaction mix
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 4 of the 8 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 16 July 2026 to 2 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
#橘喵 @Sq19i 留名:云不辞山 @KJRHXZT001 回锅报告 最近几天,看着橘喵在各个群里活跃,实在是忍不住,又约了尾课。 按时来到教室,进门就调戏橘喵,“今天要是给我下菜,我就给你写差评噢”,橘喵也是直接大蟒蛇扑了上来,在沙发两个人抱着边大蟒蛇边互相摸索着,伸手一探,水汪汪的鲍鱼真是让人流连忘返。 等洗完来到床上,橘喵换上我带来的黑丝连体情趣内衣,诱惑程度直接拉满,今天的橘喵简直是色喵,情欲值直接爆棚,对着主包的丁丁不停的吞吐,主包的手也没闲着,也伸手来到鲍鱼不停的爱抚,房间就不停的鲍鱼“咕叽”的水声,橘喵不自觉的哼唧声,主包爽的粗气声,良久过后,随着橘喵不自觉的抖动,我也是让橘喵躺下,翻身开始为橘喵反向服务起来,随着主包舌头灵巧的在水帘洞口上下翻飞,橘喵也是疯狂扭动着身体,嘴里也是大声叫了出来,等到再次的不自觉抖动出现,也是暂时平静下来,接着主包赶紧带上拦精灵,挺腰一送,顿时感觉一股紧致温暖的通道包裹着丁丁…
❤1
PS:给没去过小肥的友友们提醒一下,如果你不想要抽象肥,请一定要提前申明,另外首次约课的友友一定要好好阅读小肥的课表,最后,小肥有可能会因为一些因素当天休息,所以上课当天一定要10点半到12点之间看看群消息或频道。 留名:云不辞山 @KJRHXZT001 https://t.me/CDcj6666
#肥宅 @FZovomvm 这是一篇小肥的回锅报告。课费PP12张。 人照9分,天生的厌世脸。身高160多一点,体重基本维持在95斤左右。肤色是白皮,全身无纹身,胸B+且挺翘,手感紧实,肉感身材,让人真的是爱不释手。 小肥的红休终于结束,也是阔别已久了。在难熬的心情中终于下班了,赶紧来到教室,一进门,就看到一个身影扑进怀里,拥抱了一会,肥从怀里抬起头,见她娇羞的样子,忍不住吻了下去。片刻唇分开,来到沙发坐下,抱着边蛇边聊了会天,才依依不舍的脱衣去洗澡。 到床上后看到今天的肥切成了女友模式,直接戳在我的心巴上了,相拥在一起,猛烈的大蟒蛇差点让我窒息,蛇了一会肥慢慢的往下游移,来到二弟,先是部分吞吐,接着是每次都完全吞进的深喉模式,直接让主包爽上了天,过了一会感觉比较强烈了,叫肥过来直接骑主包脸上,也是让肥感受一下不同姿势的舔服务,不一会肥就在不停的扭动了,嘴里也在哼哼唧唧,见状主包也是让肥躺下,主包边蛇手也是摸到了鲍鱼,在…
❤1
#七七 @xiaomaijiango 运气相当好,约到了七七的课,按时抵达,根据指引到达教室,开门映入眼帘的是一个穿着黑色睡袍的美人,七七很自然的拥抱上来,然后来到沙发,两人也是很自然的聊着天,七七比较瘦,但是胸是真滴大,而且很柔软,手感简直无敌啊,而且七七的皮肤是真的好,全是滑溜溜的,随着简单的调情,我手不自觉就摸到下面,发现已经是湿答答的了,于是赶紧脱衣服和七七来到浴室,洗完回到床上,一眼就看到床尾靠墙的大落地镜,赶紧就在床尾坐下,享受着七七的口,眼睛还能看镜子里的美景,等到正戏的时候,没想到七七女上这么厉害,又摇又扭,累了就我来做臀桥上顶,搞了好久,换成后入,在床尾横着,做的时候转头看着镜子里七七前后甩的奈奈,再低头看着雪白的臀浪,感受着通道的紧致,没坚持多久也是败下阵来。 总结:颜值不错,女友感很强,大蟒蛇,6-9绝对不亏。 个人推荐指数:强烈推荐。 https://t.me/CDcj6666
#橘喵 @Sq19i 留名:云不辞山 @KJRHXZT001 人照基本一致,皮肤偏白,肉感身材,接近C杯的水滴脂肪胸,手感一流,是属于匀称的肉感妹妹,有那么一点点肚肚,蝴蝶户型,另外最大的特点是她的大蜜桃臀,简直是后入神器。右锁骨下方和手臂有一些小图案纹身,背后是一个整体的满背纹身,不过不怎么影响观感。 产地东北的甜妹小蛋糕一枚,笑容十分有亲和力,有些许的东北口音,但是很可爱。刚进门就挽着胳膊贴了上来,东北妹子特有的开朗外向能唠嗑,一点都不会冷场,社恐人士的福音,在沙发上调情的时候也是主动跨坐主包大腿上抱着主包的头狠狠的蛇起来,主包也是在妹妹身上上下游移,把妹妹上半身卸甲以后,美乳也呈现在我眼前,主包当然也是不客气的大吃特吃,手还不自觉的伸进妹妹的小裤裤里,一摸才发现妹妹已经特别水润了,还随着我的手指动作不自觉的前后扭腰,感觉牛牛快要爆炸的时候也是赶紧脱光光随着妹妹去到浴室,妹妹的清洁做的也是相当到位,关键地方还洗了2次。来…
#梓桐 @zitong_496 留名:云不辞山 @KJRHXZT001 颜值参考视频,妆容精致,属于少御类型,高高瘦瘦的白皮排骨精,黑长直的长发更加添分,下面是人工白虎,户型小蝴蝶馒头,相当漂亮。 进门印入眼帘的是一个高挑的妹子,黑长直的头发,妆容精致,妹子蛮开朗的,而且很健谈,在沙发落座后主动靠近主包,聊了几句就很自然的两人蛇了起来,过了一会妹子发现了主包的帐篷才赶快让两人去洗澡,洗过来到床上,过程不多赘述了,妹子口技及格,主动大蟒蛇,下面相当水润,情绪价值提供的很足,相当奈斯的老师了 总结:小熊,排骨精,白皮,少御,黑长直,人工白虎,水润,情绪价值高。 个人推荐指数:相当推荐。 https://t.me/CDcj6666
#幺妹儿 @bb13145200 留名:云不辞山 @KJRHXZT001 人照基本一致,白皮丰满妹妹,没有纹身,雪白的皮肤配上大胸大屁股,视觉效果直接拉满,而且还是3点粉,人工白虎,舔舔怪狂喜。 态度相当好,进门后在沙发坐下就很自然的贴过来了,聊天也不冷场,对于我这种社恐人士相当友好。 妹妹一口重庆普通话,个人觉得很好玩,亲切感很足,因为妹子是蛇蛇精,大蟒蛇管饱,随时都能蛇,做的过程中被艹的爽了直接抱着我的头猛猛蛇。主包不是服务控,进门先在沙发和妹妹边聊天边调调情,不自觉的两个人就抱在一起🐍,我的手也是不老实的上下其手,爽了一会才脱衣服去浴室自己冲洗,对的,妹子不陪洗的,菜单上有写噢,洗好后妹妹也自己去洗澡,我在床上躺着看妹妹洗完出来换上性感战袍,来到床上,本来妹妹要给我做服务,奈何主包不是服务控,是感觉控,就让妹妹躺下了,两个人就像情侣一样抱在一起猛猛开蛇,随着边蛇感觉逐渐上头,两个人也是在对方身体上下其手,我摸着妹妹湿…
❤1
Showing the 8 most recent of 8 posts we hold for @CDcj6666. 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 — 747,781 of 1,350,102entries 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
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“CDC风俗评鉴指南” (@CDcj6666), 139 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/CDcj6666.
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.