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Channel

深圳南山 温柔小喵的频道

@dfhuu3369

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

1,316subscribers

-1 since we began measuring on 18 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003818204811
TypeChannel
Username@dfhuu3369
CreatedBetween 1 February 2026 and 11 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 August 2026
Last confirmed live18 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/dfhuu3369

Growth

1,3161,3171,316.518 Aug 2026, 06:46 — 1,317 subscribers18 Aug 2026, 09:03 — 1,316 subscribers18 Aug 2026, 06:4618 Aug 2026, 09:03
2 measurements taken within a single day, net -1. 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 1,316–1,317 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 09:031,316-1
18 Aug 2026, 06:461,317first reading

Engagement

14 posts held, back to 11 June 2026the 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
11.5%
avg views ÷ 1,316 subscribers
Avg views / post
151
5 posts measured
Reaction rate
2.35%
reactions ÷ views · ER floor
Posts in window
5
of 14 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 5 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 13 August 2026
Posts held14 (11 June 202613 August 2026)
Views total755
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 06:46 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
28s
Average length
14s

Measured directly from 2 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

22 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 63.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1463.6%
😍627.3%
👍29.09%

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 7 of the 14 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 11 June 2026 to 13 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

8 Aug 2026, 10:02 UTC106 views4 reactionsread 18 August 2026
Photo

#水 #美腿 #睡衣 #好看 一杯水

2😍2

31 Jul 2026, 07:15 UTC190 viewsread 18 August 2026
Forwarded from @ee66iopnn

出击报告:https://t.me/ee66iopnn 验证留名:范阁 上课时间:7/30 老师花名:#温柔小喵 位置坐标:#南山 上课花费:800p 颜值身材:基本一致 服务内容:课表都有 出击体验:上楼后见到本人没区别,身材纤秾合度。刚开始自己还有点拘谨,后面熟悉了点就会发现老师是个大咧咧的妹子,没什么废话就去洗澡了,到了床上开始给我服务,胸前小豆豆和舌头的触感让你酥酥麻麻的一直延伸到心里尤其正面的深喉让我小兄弟都硬炸了。整个过程的仔细、用心让我都有点感动了,很少见这么用心在前戏的老师。作为对老师细致服务的报答我也用服务了一番。然后就迫不及待的提枪上马,隔着套套都能明显感觉出来的湿热和紧包感,我今天明显超常发挥,几个姿势下来基本把时长拉满了,中间几次明显感觉到老师深处裹紧的更厉害了。事后老师夸奖了我厉害,说实话还是有点小得意的。完事后聊了会天,这时候比较放得开了,也发现了老师是个大大咧咧的性子,这是一趟很舒心的cj之旅 优点

10 Jul 2026, 07:22 UTC316 viewsread 18 August 2026
Forwarded from @qingloucjbg

出击报告:https://t.me/qingloucjbg 验证留名:PLP 上课时间:7/9 老师花名:#温柔小喵 位置坐标:#南山 上课花费:800p 颜值身材:身高165左右,体重95左右,身材匀称! 服务内容:菜单上有的都有 出击体验:今天无意间和哥们儿刷到老师的照片,第一眼就相中了,于是哥们提出让我先来试试水,大概中午两点多就先跟老师定了四点多,虽然迟到了十多分钟,但是不碍事,开门见到老师的第一眼就觉得没来错,五官很好看,本人比照片看着好看很有亲和力,笑容甜甜的,很有女友的感觉,身上没有任何风尘气息,全程陪我一起洗澡,前戏也做得非常好,最后是我在上面冲击,全程感觉特别好,值得二刷,还有一点,老师的胸很漂亮哦 优点缺点:颜值高!身材比例好,皮肤嫩滑! 推荐程度:已推荐给兄弟 联系方式:@azwjms

8 Jul 2026, 12:19 UTC283 views3 reactionsread 18 August 2026
Video

你的心里也有我吗? #美女 #纯欲风 #甜妹

2👍1

2 Jul 2026, 09:43 UTC355 viewsread 18 August 2026
Forwarded from @qingloucjbg

出击报告:https://t.me/qingloucjbg 验证留名:江湖浪哥 上课时间:7/1 老师花名:#温柔小喵 位置坐标:#南山 上课花费:800p 颜值身材:很白,皮肤滑,嫩妹 服务内容:课表上改有的都有 出击体验:老师遥控上楼、课室卫生且方便。开门那一瞬间直接就喜欢了,真的,大胸嫩妹,一见钟情,二话不说直接交了水费,老师宽衣就去放水了,洗完澡后老师主动的自己漱了口我已经在床上迫不及待的等待了,开始调情,老师口活却很好,沿着几把一顿舔、我忍不住让老师胸推,胸大就是舒服,没一会就忍不住让老师给我带套开干,女上,后入,侧干,一个没落下,最后在传统位一边把玩大胸,一边疯狂抽查后缴枪。 优点缺点:小姐姐人好看 身材好 人温柔 口技好 推荐程度:值得推荐 联系方式:@azwjms

25 Jun 2026, 11:26 UTC339 views3 reactionsread 18 August 2026
Video

在线上 约课 可以留言🔡🔡❤️❤️

2😍1

19 Jun 2026, 15:40 UTC410 viewsread 18 August 2026
Forwarded from @ycfah

出击报告:https://t.me/ycfah 验证留名:相见恨晚 上课时间:6/19 老师花名:#温柔小喵 位置坐标:#南山 上课花费:800p 颜值身材:肤白高挑温香暖滑 服务内容:课表一致 出击体验: 课表有的都有。随着交流和深入,慢慢发现悦静是内秀的璞玉。陪浴的时候就开始服务,上床之后还会含情脉脉的与人慢慢聊聊。服务态度很好,人美盘正,大蟒蛇,下面桃源水帘洞天,引人入胜。两水中间时,有女友的陪伴感,啥都可以聊,很有趣的女人。颜值,身材(🐻大),谈吐,灵魂均极佳。中间一个插曲,接工作电话的时候亲我熊,还有点小声音,很有情趣。我这个123的班子结束时,她说她还有一个后入绝招,可惜没来得及体验。蜜桃大臀塞过杨柳细腰,撅的老高,让人想把头埋入这臀浪,生理和情感能双重满足的老师,感兴趣可以冲,别让明珠蒙尘。 优点缺点:人清纯无风尘味,开朗性格好,软硬件俱佳,不看哥布林下菜 推荐程度:很推荐 后面如果在附近,肯定会再去的。 联系方

Showing the 12 most recent of 14 posts we hold for @dfhuu3369. 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

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.

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 18 August 2026 — this entry's latest reading, not the date you are reading this.

“深圳南山 温柔小喵的频道” (@dfhuu3369), 1,316 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/dfhuu3369.

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.