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Channel

南山彩虹糖🍬

@caihong661

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

708subscribers

+0 since we began measuring on 25 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004436535568
TypeChannel
Username@caihong661
First recorded25 September 2026
Last confirmed live25 September 2026
Measurements held2
On Telegramt.me/caihong661

Growth

70825 Sept 2026, 15:48 — 708 subscribers25 Sept 2026, 16:22 — 708 subscribers25 Sept 2026, 15:4825 Sept 2026, 16:22
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 707–709 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 16:22708no change
25 Sept 2026, 15:48708first reading

Engagement

17 posts held, back to 20 September 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
72.3%
avg views ÷ 708 subscribers
Avg views / post
512
16 posts measured
Reaction rate
0.299%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 9 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 September 2026
Posts held17 (20 September 2026 – 25 September 2026)
Views total8,191
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Sept 2026, 16:22 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

Photos
18
Videos
1
Links
11

Lifetime counters from Telegram’s own channel header, read 25 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

15 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 73.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1173.3%
👍426.7%

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 9 of the 17 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 20 September 2026 to 25 September 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

25 Sept 2026, 13:42 UTC100 viewsread 25 September 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #地区 学生留名: #东部第一sg 学生电报号: @Yy321223 上课时间: 9.25 老师花名: #05彩虹糖 老师电报号: @caihongtango 上课花费: p(中途+p) 老师质量: 人照相符 9分,服务态度10分,服务技能8.5分,情绪价值 10分 ,环境卫生8.5分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 洗 口 🐍 上课过程: 这是二刷了,第一次听群里大佬推荐过来,没踩雷有很好的体验,第二次擅作主张找了个小冷门老师,踩了一个小小的坑,痛定思痛过后,提前两天预约,顺便养精蓄锐,乖乖来到彩虹糖老师这里,弥补一下受伤的心灵! 一进门看见老师熟悉的脸庞,有了第一次的约见,第二次我跟老师明显没了第一次的羞涩,很熟络的聊了起来,老师很…

25 Sept 2026, 11:57 UTC148 views4 reactionsread 25 September 2026

各位宝宝 明天开工最后一天就休息啦 大概国庆后开工 具体时间频道通知哦 明天还有位 需要的宝宝可以提前沟通约位啦😘

❤4

24 Sept 2026, 10:11 UTC372 views4 reactionsread 25 September 2026
Photo

五星臻选💥💥💥💥💥 南山05彩虹糖 @caihongtango #嫩妹 #高颜值 #真胸C #女友感 推荐理由:05嫩姐 外表高冷御姐 床上极度反差 身高168 S型身材 混血高颜脸 爱爱超级配合 服务好 热情 主动 敏感 反差 体贴 大🐍管够 情绪价值拉满 女友感爆炸 推荐人: 二狗、flam6、大A冥灯、皮卡、Joe Jay、旭旭宝宝 深港汇优质师生群 点击加入: @SZHKFriendsyzq

❤4

24 Sept 2026, 08:14 UTC408 viewsread 25 September 2026

优质老师出击笔记模板【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #地区 学生留名: #DOOM aries 学生电报号: @aries_doge 上课时间: 09.22 老师花名: #彩虹糖老师 电报号: @caihongtango 上课花费: pp 老师质量: 人照相符9分,服务态度 10分,服务技能 9分,情绪价值 9分 ,环境卫生 9分,有无陪洗:前后都有陪浴 ( PS: 按照1到10打分 ) 推荐程度: 强烈推荐 ( 按照 不推荐/一般/可冲/推荐/强烈推荐 选择填写 ) 服务内容: xcz,🐍吻,陪浴,制服 上课过程: 又一次找彩虹糖了,这次约的pp头课,进门发现老师比上次化妆更精细了点,还化了腮红,老师说专门起早床去化妆店化的。真的很用心,忍不住脱衣服拉着洗澡,也会帮忙擦干背部和脚。挑了一套新制服,享受秘书服务,也能感觉口技相…

23 Sept 2026, 15:45 UTC452 views1 reactionsread 25 September 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #楚云飞 学生电报号: @Christopher2024GG 上课时间: 9.20 老师花名: #彩虹糖 老师电报号: @caihongtango 上课花费: pp 老师质量: 人照相符 9.5 分,服务态度 9.5 分,服务技能 9.5 分,情绪价值 9.5 分 ,环境卫生 9.5 分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 课表内容 上课过程: 小小的等了一会儿,按照指引上楼简单方便。进门眼前一亮,柔和的鹅蛋脸,比照片更好看且亲近,照片会更显清冷疏离感。先在沙发上调情,游走片刻后到浴室,突如其来的大蟒蛇沉浸其中,水中萧收尾,转场换上JK。跟美人有种淡淡的契合感,123结束~ 优点缺点: 温柔,水多,真C+,大蟒蛇。无缺点 …

❤1

23 Sept 2026, 15:44 UTC415 viewsread 25 September 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #地区 学生留名: #放纵 学生电报号: @huhuh1h 上课时间: 9.23 老师花名: #南山05彩虹糖 老师电报号: @caihongtango 上课花费: p1198 老师质量: 人照相符 10分,服务态度 10分,服务技能 10分,情绪价值10分 ,环境卫生10分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 课表内容 上课过程: 上午一阵淫风吹过,约了老师晚上的p课,一天的时间稍纵即逝,眼看吉时已到,稍作休整前去赴约,进门的瞬间眼神未曾离开,凹凸有型的高挑身材,含羞默默的面容以及那及腰的长发,正是妾已长发及腰,君何时来娶;不及细想,先缴清💦,面前的可人已为我宽衣解带,时不时的来一出法式湿吻,缠缠绵绵的来到浴室,温柔的洗涤着每一寸肌肤,…

22 Sept 2026, 07:02 UTC789 views0 reactionsread 25 September 2026

🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 #黄人九月联动 🙋 参与情况:115 达标 / 165 报名 ⚠️ 开奖说明: 1.中奖者请在24小时内联系老师 2.券有效期48H(红休老师与老师协商延长时间): 3.须提交报告(老师自己要哪个频道的) 4.中奖者不得转让(转让需经过老师同意) 5.如抽中不想去的,找 @pyhita 回收券(放入积分兑换) 感谢发券的老师认可~ 🎁 颜值御姐彩虹糖半价券 ×3 彩虹糖: 1. @matsumoto_ngn 2. @biuveo 3. @Kingkingxu 🎁 气质御姐紫夏 -400券 ×3 紫夏: 1. @xxxxiongggg 2. @zhuzhu2hao 3. @Moonlight_Shadow2024 🎁 新人嫩妹小v -300券 ×3 小v: 1. @JP_JP_JP_JP_JP_JP 2. @szbaoye 3. @House886 🎁 tg 三个月会员 ×1 黄瓜…

22 Sept 2026, 07:01 UTC701 viewsread 25 September 2026

🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 #黄人九月联动 🙋 参与情况:115 达标 / 165 报名 ⚠️ 开奖说明: 1.中奖者请在24小时内联系老师 2.券有效期48H(红休老师与老师协商延长时间): 3.须提交报告(老师自己要哪个频道的) 4.中奖者不得转让(转让需经过老师同意) 5.如抽中不想去的,找 @pyhita 回收券(放入积分兑换) 感谢发券的老师认可~ 🎁 颜值御姐彩虹糖半价券 ×3 彩虹糖: 1. @xiwbwockb 2. @House886 3. @meichuan112 🎁 气质御姐紫夏 -400券 ×3 紫夏: 1. @waterking24 2. @Davidjj17 3. @Tyron0833 🎁 新人嫩妹小v -300券 ×3 小v: 1. @JP_JP_JP_JP_JP_JP 2. @dabai222 3. @frankyyyy1123 🎁 tg 三个月会员 ×1 黄瓜: 1. @l…

22 Sept 2026, 03:17 UTC637 views2 reactionsread 25 September 2026
Forwarded from @Chunzhaobaogao

【春朝报告】: http://t.me/Chunzhaobaogao 老师名称: 彩虹糖 联系方式:@caihongtango 验证留名: 一灯仙丹 上课地点: 深圳南山 验证时间: 26.09.21 上课价格: 1200p 老师年龄: 看起来应该22、23 老师颜值: 高颜御姐(正脸高圆圆、侧脸迪丽热巴的感觉) 老师身材: 夯👍 课室环境: 不错 服务项目: 追杀🐍、69、夺命吃🐔、doi 体验: 彩虹糖老师简直就是个六边形战士,进门就追着杀,哦不,追着🐍,极其投入和热情的服务,我都接不住她的热情,只好羞射地埋入她的D杯洗面奶中,暗自享受一刻i人的快乐时光!沙发缠绵了好久,随后被彩虹糖拉去洗澡🛁共浴也服务得很认真,真•业界良心!床上就不用说了,上位传教后入,屌感都很好,尤其后入,浙大皮鼓,我拍了好几下,然后给了!拔出来她还拉我手摸她的水💦笑鼠…完事后阿糖🍬还留我吃晚饭,我都不好意思😅回到家后久久无法平静,太好了,发了个大红…

👍2

Showing the 12 most recent of 17 posts we hold for @caihong661. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Named by

Channels on the register whose posts name this channel's handle.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“南山彩虹糖🍬” (@caihong661), 708 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/caihong661.

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.