Telegram RegisterThe public register of Telegram
Telegram profile photo for 南京虎鞭会

Channel

南京虎鞭会

@dapptons

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

31,138subscribers

-1,838 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002555325968
TypeChannel
Username@dapptons
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live23 October 2026
Measurements held43
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/dapptons

Topic

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 69% 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.

Growth

29,66539,52034,592.512 August 2026 — 32,976 subscribers12 August 2026 — 32,976 subscribers14 August 2026 — 39,520 subscribers15 August 2026 — 38,791 subscribers16 August 2026 — 38,502 subscribers17 August 2026 — 38,427 subscribers18 August 2026 — 38,261 subscribers19 August 2026 — 38,182 subscribers20 August 2026 — 38,223 subscribers21 August 2026 — 37,577 subscribers23 August 2026 — 37,164 subscribers24 August 2026 — 36,899 subscribers25 August 2026 — 36,773 subscribers26 August 2026 — 36,566 subscribers27 August 2026 — 36,690 subscribers28 August 2026 — 36,969 subscribers29 August 2026 — 36,927 subscribers30 August 2026 — 36,748 subscribers31 August 2026 — 36,777 subscribers1 September 2026 — 36,076 subscribers2 September 2026 — 35,775 subscribers4 September 2026 — 35,593 subscribers6 September 2026 — 35,443 subscribers9 September 2026 — 35,082 subscribers11 September 2026 — 34,713 subscribers13 September 2026 — 33,955 subscribers15 September 2026 — 33,502 subscribers17 September 2026 — 33,213 subscribers19 September 2026 — 32,253 subscribers26 September 2026 — 30,259 subscribers4 October 2026 — 30,663 subscribers9 October 2026 — 29,665 subscribers13 October 2026 — 30,519 subscribers14 October 2026 — 30,934 subscribers15 October 2026 — 31,126 subscribers16 October 2026 — 31,045 subscribers17 October 2026 — 31,133 subscribers18 October 2026 — 31,407 subscribers19 October 2026 — 31,349 subscribers20 October 2026 — 31,334 subscribers21 October 2026 — 31,298 subscribers22 October 2026 — 31,087 subscribers23 October 2026 — 31,138 subscribers31,13812 August 202623 October 2026
43 measurements spanning 71 days, net -1,838. 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 28,187–40,998 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 43
Measured (UTC)SubscribersChange
23 Oct 2026, 10:2731,138+51
22 Oct 2026, 10:2031,087-211
21 Oct 2026, 05:2731,298-36
20 Oct 2026, 04:0131,334-15
19 Oct 2026, 05:5931,349-58
18 Oct 2026, 07:2831,407+274
17 Oct 2026, 10:5831,133+88
16 Oct 2026, 14:1731,045-81
15 Oct 2026, 14:4131,126+192
14 Oct 2026, 17:2630,934+415
13 Oct 2026, 07:3630,519+854
9 Oct 2026, 05:0029,665-998
4 Oct 2026, 18:3830,663+404
26 Sept 2026, 21:5630,259-1,994
19 Sept 2026, 17:5632,253-960
17 Sept 2026, 06:1933,213-289
15 Sept 2026, 08:1733,502-453
13 Sept 2026, 16:1733,955-758
11 Sept 2026, 20:5734,713-369
9 Sept 2026, 11:3835,082first reading

Engagement

42 posts held, back to 6 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 128 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.46%
avg views ÷ 31,138 subscribers
Avg views / post
2,010
18 posts measured
Reaction rate
0.046%
reactions ÷ views · ER floor
Posts in window
18
of 42 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 6 of 18 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 20 October 2026
Posts held42 (6 August 2026 – 20 October 2026)
Views total36,207
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 03:53 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
4m 11s
Average length
9s

Measured directly from 28 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

18 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1477.8%
👍211.1%
😁211.1%

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 15 of the 42 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 6 August 2026 to 20 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.

Recent posts

20 Oct 2026, 15:01 UTC≈1,070 views1 reactionsread 23 October 2026
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圈界NO.1 🟡昵称:林嘉小朋友 🕐地区:#秦淮区 🤖双向: 🚀电报:@LllllinJiaaaa 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的眼眸清澈得像山间清泉,一眨眼便漾出了无限柔情。 🔰#点击下方查看详情⬇️

❤1

19 Oct 2026, 11:27 UTC≈1,440 viewsread 23 October 2026
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圈界NO.1 🟡昵称:艾米 🕐地区:#江宁 🤖双向:@Aimibaby66_bot 🚀电报:点击联系在线老师 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的幽默感恰到好处,总能在不知不觉中带给大家欢笑。 🔰#点击下方查看详情⬇️

18 Oct 2026, 08:05 UTC≈1,870 views1 reactionsread 23 October 2026
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🟡昵称: 悠悠 🕐地区:#江宁 🤖双向:@youyou798Bot 🚀电报:@TTGuo0729 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你身上那份不慌不忙的从容,和你的容貌相辅相成,外在赏心悦目,气度优雅大方,实在令人心生赞叹。 🔰#点击下方查看详情⬇️

❤1

14 Oct 2026, 11:28 UTC≈2,550 viewsread 23 October 2026
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🟡昵称: 哆哆 🕐地区:#浦口区 🤖双向:暂无 🚀电报:@lddx112233 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 无论什么时候见到你,你总能给人一种如沐春风的清新感。 🔰#点击下方查看详情⬇️

11 Oct 2026, 15:36 UTC≈3,030 viewsread 20 October 2026
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👼【花名】 晨晨 ⏳【课室】江宁区 💴【q1910277653 ✈️【联系】 @yeuyue668 💖【频道】 点击浏览频道👀 🫦【标签】已验证 💖P工兵卷剩余 不定时随机发放 🔰【格言 】99. 愿你永葆青春的活力,拥有不被岁月打败的底气。 🔰#点击下方查看详情⬇️

11 Oct 2026, 13:12 UTC≈3,420 viewsread 19 October 2026
Photo

🟡昵称: 若依 🕐地区:#江宁 🤖双向:@zeze9899bot 🚀电报:@Z945388 🔔频道: https://t.me/guoguo5858 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 明媚的色彩穿在身上,衬得你光彩灼灼,浓烈鲜活;素雅的颜色上身,又衬得你清雅淡然,万般适配。 🔰#点击下方查看详情⬇️

7 Oct 2026, 14:27 UTC≈3,880 views1 reactionsread 18 October 2026
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圈界NO.1 🟡昵称:coco 🕐地区:#建业 🤖双向:@coco20060521_bot 🚀电报:@coco20060521 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 女性的美本就千姿百态,而你活出属于自己的范本,容貌动人,气韵绝佳,成为很特别的一道风景。 🔰#点击下方查看详情⬇️

❤1

7 Oct 2026, 13:51 UTC≈2,890 viewsread 14 October 2026
Photo

🟡昵称: 小玉 🕐地区:#江宁 🚀电报: @yuxuan0897 🔔频道: 频道点击浏览👀 🔴水费:10p14pp 🔴标签:#已验证 最近有人冒充管理,欺骗老师收¥, 找管理可看群公告或点击下方底部按钮。

5 Oct 2026, 13:06 UTC≈2,080 viewsread 11 October 2026
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🟡昵称:#琳琳 🕐地区:#南京 #江宁 🤖双向:@lingll520bot 🚀电报:@lingll52 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证

5 Oct 2026, 12:35 UTC≈1,790 views1 reactionsread 11 October 2026
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南京全区 南京全区 南京全区 【全区95 98莞式全套海选会所】🌸私人定制spa私密会所 😇 海选 😇 油压 😇 莞式 😇 全套 😇 花式 🟢会所介绍 :海选模式 莞式服务, 环境豪华私密安全, 给您至尊享受的高端体验,可依您的喜好和需求为您做专属的私人项目定制。 更多剧本等你来解锁 主题房,制定角色,制定服装,满足你的所有幻想莞式36式 , 🛁皇帝共浴,💆菲式按摩,💪莞式抓龙, 👙制服诱惑, 👯‍♀️ 双人系列, ⛓️SM, 🍆情趣道具, ㊙️情景互动 全裸艳舞 😃 鸳鸯戏水😄 水磨推拿😄 口舌调情 😄 后口毒龙 😀胯下吞龙 😃手推胸推😄 足推臀推 😊 激情爱爱 😄 制服情趣😀 到店海选 😄【冰火双重天】😃 等三十多种项目。💒 🔥服务流程:皇帝共浴🛁指滑🫳🏻鼻息🗓舌尖漫游🥂-ab面骑士-💋柔式按摩放松-❤️花式调情雄起📞-水漫金山-🎯漫水吹箫💖-深情直入🥂🍀深喉…

❤1

5 Oct 2026, 11:35 UTC606 viewsread 7 October 2026
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名字: 思思雨欣双飞 #南京 #江宁 年龄 26 身高 168 体重46k 富雾内容:激情爱爱,鸳鸯戏水,🈚️套口🐔儿,丝袜诱惑,制服诱惑,情趣类型诱惑,深喉,毒龙,口爆,69之恋,🐍吻,极其完美配合,骚气十足,富雾态度好,全身肌肤细腻嫩滑,让君流连忘返, 单人1p❤️1000/60分钟/2pp❤️1800/70分钟 主打双飞组🈴,2800/2pp/90分钟 ✈️私信预约👉 @q1587515 频道小窝👉 频道点击浏览👀 双向限制👉 @zfzwgg_bot

3 Oct 2026, 12:03 UTC≈1,170 viewsread 7 October 2026
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圈界NO.1 🟡昵称:安安 🕐地区:#浦口 🤖双向:@anan06bot 🚀电报:@anan061231 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】温柔与明媚同时汇聚在你的身上,静时温婉如水,动时明媚似火,两种特质交融,塑造出你独一份的美。 🔰#点击下方查看详情⬇️

Showing the 12 most recent of 42 posts we hold for @dapptons. 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.

Mentions

Named by 4 registered channels — 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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“南京虎鞭会” (@dapptons), 31,138 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/dapptons.

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.