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Channel

小奴的温柔乡

@aadddmmmmm

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

7,333subscribers

+2,357 since we began measuring on 16 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003769282526
TypeChannel
Username@aadddmmmmm
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live4 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/aadddmmmmm

Topic

Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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 the other topics.

Growth

4,9767,3336,154.516 August 2026 — 4,976 subscribers16 August 2026 — 4,976 subscribers16 August 2026 — 4,994 subscribers19 August 2026 — 5,052 subscribers23 August 2026 — 5,104 subscribers26 August 2026 — 5,150 subscribers29 August 2026 — 5,186 subscribers1 September 2026 — 5,220 subscribers4 September 2026 — 5,252 subscribers9 September 2026 — 5,636 subscribers13 September 2026 — 6,077 subscribers18 September 2026 — 6,231 subscribers27 September 2026 — 6,519 subscribers5 October 2026 — 6,745 subscribers11 October 2026 — 6,972 subscribers14 October 2026 — 7,042 subscribers17 October 2026 — 7,095 subscribers20 October 2026 — 7,117 subscribers23 October 2026 — 7,179 subscribers26 October 2026 — 7,243 subscribers29 October 2026 — 7,277 subscribers1 November 2026 — 7,301 subscribers4 November 2026 — 7,333 subscribers16 August 20264 November 2026
23 measurements spanning 80 days, net +2,357. 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 4,622–7,687 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
4 Nov 2026, 07:567,333+32
1 Nov 2026, 11:567,301+24
29 Oct 2026, 18:417,277+34
26 Oct 2026, 16:187,243+64
23 Oct 2026, 11:067,179+62
20 Oct 2026, 02:297,117+22
17 Oct 2026, 11:297,095+53
14 Oct 2026, 22:107,042+70
11 Oct 2026, 21:386,972+227
5 Oct 2026, 13:416,745+226
27 Sept 2026, 16:566,519+288
18 Sept 2026, 13:176,231+154
13 Sept 2026, 19:546,077+441
9 Sept 2026, 23:215,636+384
4 Sept 2026, 12:225,252+32
1 Sept 2026, 03:585,220+34
29 Aug 2026, 11:085,186+36
26 Aug 2026, 05:555,150+46
23 Aug 2026, 08:045,104+52
19 Aug 2026, 18:525,052first reading

Engagement

15 posts held, back to 13 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 4 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.4%
avg views ÷ 7,333 subscribers
Avg views / post
2,520
7 posts measured
Reaction rate
0.193%
reactions ÷ views · ER floor
Posts in window
7
of 15 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 November 2026
Posts held15 (13 August 2026 – 3 November 2026)
Views total17,650
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 12:41 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
≈2,730
Videos
≈71
Links
≈24

Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

49 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 65.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3265.3%
🤡1428.6%
👍12.04%
👎12.04%
💩12.04%

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 15 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 13 August 2026 to 3 November 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

Telegram’s own ‘edited’ marker: 1 of 7 posts held from the last 30 days (14.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

3 Nov 2026, 14:11 UTC≈1,530 views8 reactionsread 4 November 2026
Photo

谢谢亲爱的爸爸❤️🥹最近我准备改课表,会融合很多种元素,类似剧本杀,密室逃脱的设计方式,悬疑,甜宠,都市,农村等之类有故事,有血肉,有前因后果的丰满情节设计融合在课程之中,特别是sm的部分会加强故事性的设计,来代入其中,希望能使丝毫不懂sm的玩家,也会有一个印象深刻的体验🥹会有旁白配音,会有至少100种sm的初级中级详细玩法,会有沉浸式的感官体验,会努力把课程做到极致,松弛有度,不使每一分钟都浪费,会把一两百件衣服的种类分类好,会有玩具清单,会通过社会心理学,社会不同工作类目,社会等级等种种角度去重新设置角色扮演,课程内容,同时也会丰满提升,日式,泰式,莞式服务的各种细节,最大程度的将各种流派的玩法融入其中,争取在课程质量,情绪价值,科学sm进阶玩法上,完成度上面,最大程度的提升🥹🥹🥹谢谢主人对我从前的包容,由于外债过高,我上课比较极限,即使是凌晨四五点也愿意上课,所以睡眠时间较少,有时候上课时并未尽100%的让主人体验到所有的…

❤8

2 Nov 2026, 14:32 UTC≈2,180 views2 reactionsread 4 November 2026
Photo

Photo, posted without a caption

❤1👎1

2 Nov 2026, 07:15 UTC≈2,360 views0 reactionsread 4 November 2026
Photo

不知道➕电动吊床是什么感觉的🥹🥹🥹🥹🥹🥹🥹🥹🥹,这一个床下来快5000块了🥹🥹🥹🥹🥹🥹

2 Nov 2026, 06:40 UTC≈2,340 views0 reactionsread 4 November 2026
Photo

我准备买一个功能好一点的电动水床,还可以悬吊🥹,倒立口,还可以空中飞🥹🥹🥹🥹🥹还是狼友厉害,我就想问一下悬吊,结果就给我推荐了这么厉害的床,我光看一眼就心动的不得了,立刻马上把它买回家来,我先躺上面舒服一下🥹🥹🥹🥹然后我又研究了一下绳索的比较容易的玩法必须必须把捆绑玩开心🙈

31 Oct 2026, 13:30 UTC≈3,010 views2 reactionsread 4 November 2026
Photo

Photo, posted without a caption

👍1💩1

30 Oct 2026, 19:07 UTC≈3,270 views20 reactionsread 4 November 2026
Photo

不知不觉把钱花光了全买书了🥹还倒借了9000🥹三年内读不完的书🥹准备头悬梁锥刺股,埋头苦读🥹

🤡14❤6

15 Aug 2026, 20:15 UTC319 viewsread 16 August 2026
Photo

把新课表做了一个海报,总觉得有一些细节需要添加润色,等有空了慢慢的再修改❤️🥹

14 Aug 2026, 03:25 UTCviews —

小奴的温柔乡 pinned «新课表,还在完善中❤️❤️❤️ 念奴娇旖旎乡 山有木兮木有枝,心悦君兮君不知 念奴娇,小字小奴,取贵堂美妾,歌以娱之,舞以佐之,左右逢源,任人驱遣之意。万千温柔,百般娇媚,只为展玉颜于君台,绽芳华于知己 小奴擅长 美容,按摩推拿,精油养护,抓龙筋,艳舞调情,柔式调情丝足 ,十二经络,肾部保养,前列腺保养 脱敏训练 龟则控制,角色扮演 全身推油 腰背臀 三起三落 剧情演绎 狗奴 强奸女儿系等 绿酒初尝人易醉(单次仓促,恐不尽兴) P7章50分钟 ➕浴缸服务 头疗 按摩 风骚艳舞 鸳鸯戏水…»

14 Aug 2026, 03:25 UTC≈1,460 views15 reactionsread 16 August 2026

新课表,还在完善中❤️❤️❤️ 念奴娇旖旎乡 山有木兮木有枝,心悦君兮君不知 念奴娇,小字小奴,取贵堂美妾,歌以娱之,舞以佐之,左右逢源,任人驱遣之意。万千温柔,百般娇媚,只为展玉颜于君台,绽芳华于知己 小奴擅长 美容,按摩推拿,精油养护,抓龙筋,艳舞调情,柔式调情丝足 ,十二经络,肾部保养,前列腺保养 脱敏训练 龟则控制,角色扮演 全身推油 腰背臀 三起三落 剧情演绎 狗奴 强奸女儿系等 绿酒初尝人易醉(单次仓促,恐不尽兴) P7章50分钟 ➕浴缸服务 头疗 按摩 风骚艳舞 鸳鸯戏水 水中调情 水中爱爱(水中不出) 正面调情 丝袜制服 调情互动小节目 艳舞助兴 床上挑逗 蛇漫 乳交 私处蛇撩 SM道 具调情 挑逗服务自慰表演 ➕遛狗 鞭打 侮辱 控制 强暴 可选择自己喜欢的项目服务 道具 双舌内外解压自慰棒 振动棒 轻奢贵族大头AV棒 全身枷锁 高跟鞋 马鞭 软戒尺 静电胶 捆绑 训狗 调教 轻微角色扮演…

❤15

Showing the 12 most recent of 15 posts we hold for @aadddmmmmm. 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 3 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“小奴的温柔乡” (@aadddmmmmm), 7,333 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/aadddmmmmm.

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.