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Channel

二十八岁 还是没人爱

@dazzlingwitch

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

2,663subscribers

+52 since we began measuring on 4 November 2026

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

Register entry

Telegram ID-1002352689769
TypeChannel
Username@dazzlingwitch
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 November 2026
Last confirmed live7 November 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/dazzlingwitch

Growth

2,6112,6632,6374 November 2026 — 2,611 subscribers4 November 2026 — 2,620 subscribers7 November 2026 — 2,663 subscribers4 November 20267 November 2026
3 measurements spanning 3 days, net +52. 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 2,603–2,671 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Nov 2026, 07:372,663+43
4 Nov 2026, 17:052,620+9
4 Nov 2026, 13:222,611first reading

Engagement

16 posts held, back to 10 October 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
68.1%
avg views ÷ 2,663 subscribers
Avg views / post
1,810
15 posts measured
Reaction rate
0.049%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 10 of 15 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 4 November 2026
Posts held16 (10 October 2026 – 4 November 2026)
Views total27,206
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 13:22 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

Video runtime
2h 33m
Average length
1h 16m

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

9 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤888.9%
👍111.1%

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 10 of the 16 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 10 October 2026 to 4 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: 7 of 16 posts held from the last 30 days (43.8%) 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).

4 Nov 2026, 02:55 UTC483 views4 reactionsread 4 November 2026
Photo

@xiao5206688 #小小 芜湖芜湖,也是约到小小的无敌至尊头课,爽翻天了哈哈哈哈哈哈哈哈。都干虚脱了卧槽! 评论有美照🔽🔽🔽

❤4

3 Nov 2026, 11:37 UTCviews —

二十八岁 还是没人爱 pinned «https://t.me/bbca188_bot?start=join_EScv1GdDyPwxNGU1 最近新进的群,活人挺多的,看导航看报告都挺方便。还有个常驻白嫖券。感兴趣可以点链接进群!»

3 Nov 2026, 11:34 UTC733 viewsread 4 November 2026

https://t.me/bbca188_bot?start=join_EScv1GdDyPwxNGU1 最近新进的群,活人挺多的,看导航看报告都挺方便。还有个常驻白嫖券。感兴趣可以点链接进群!

3 Nov 2026, 02:08 UTC833 views1 reactionsread 4 November 2026

@meiya929 福田 #美芽 850p 1600pp 整体身材:160左右,整体身材匀称没明显赘肉,属于不胖不瘦的类型,观感正常(8.5分) 罩杯:C-这样,脂肪胸偏多,手感软会有些许皱纹下催(8.5分) 服务内容:见课表 偶然抽到的半价,跟上一次去的福田老师同一个地方,见面先交水费,然后一起洗澡,不过老师没有一起洗,而是自己选了套情趣内衣,然后现在门口帮忙洗,洗干净后蹲下开始水中萧,口活手法都挺厉害的,爽得差点想发射。然后到床上躺着,指划功夫了得,摸得鸡儿瞬间起立。口活也算是独一档的,就很舒服,很爽,很想发射。然后我先提出我69,但是毛毛太长太多,舔两下不想舔了,再提出我来操盘,也是很配合的躺了下来,先是舌吻,正常水平,然后就亲了一下脖子,再下来亲胸,有反馈,但不算强烈。我就跪在老师旁边,她侧着身体帮我口,口硬了,就戴套开始传教士了。吊感也是超级奈斯,老师脸上也露出很勾人的表情,一边咬手指一边看着你,兴致也上来不少,…

👍1

1 Nov 2026, 03:29 UTC907 views0 reactionsread 4 November 2026
Forwarded from @haokandeavbaPhoto

番号:IDPC-001 大姐姐变身野兽,大原玲奈AV出道作,性感熟女震撼首秀 女优: #大原伶菜 類型: #痴女 #苗條 #單體作品 系列: First Impression ❤️ 中文字幕   ❤️ 无码AV

1 Nov 2026, 03:29 UTC≈1,010 viewsread 4 November 2026

我去,这个新人神似石原里美,虽然人造人,但是演技身材都无话说。

27 Oct 2026, 14:53 UTC≈1,620 viewsread 4 November 2026

@renyouxi 福田 #柚希 800p 1500pp 整体身材:身高160左右,整体不胖不瘦,有肚子有些许褶皱。其他匀称正常(8分) 罩杯:B左右,不大,正常胸型手感柔软(8.5分) 服务内容:见课表 提前约课,准时到达地方,老师会提供二维码进门禁电梯,普通的一房公寓,见面老师超级温柔客气,知道外面热,马上递水过来,坐着稍微休息一下,脱掉微湿的衣服,老师也会帮忙拿过去晾起来,进入浴室洗澡🛀,有点点小,但站两个人还是可以的,然后就细致的清洗,还会蹲下来做水中萧,用着一股少妇的骚货眼神一边吃一边看着你。然后出来也会帮忙擦拭身体。先是趴着,舌划背面,还行,感觉痒痒的。然后就是毒龙,不过没有很爽,感觉像假毒龙,然后就是转过来躺着,老师舔胸还是很舒服的,前面的服务都没怎么把我性趣挑起来,这下子没一会就感觉鸡儿开始硬了,接着就是口活,熟练且舒服,梆硬后就戴套先在镜子前站着后入,从镜子里看着还挺有感觉的,就是身高差不适合太久,接着就…

22 Oct 2026, 17:45 UTC≈1,970 views0 reactionsread 4 November 2026

@xiao5206688 龙华 #小小 700p 1400pp 上次休息前的报告,二返小小了,这次是换到了她的新房间,比之前那个小房间大了不知道多少,而且环境好,观景也好,进门走了一圈后,跟小小一起坐在沙发上腻歪,还是超级喜欢抱着我亲亲脸,亲脖子,也会很调皮的把手伸进你衣服挑逗你。真的很难把持得住,一只手抱着她纤细的腰,一只手摸着她那美腿。跟身材好的人摸摸抱抱真的爽呀,就像经常在抖音看美女各种细腰美腿只有眼神冲击,没有摸得到的触感确实是差点意思。腻歪闲聊了差不多了,一起脱衣进浴室洗澡,跟之前一样,洗的时候也会有一些小互动,轻轻抱抱,调皮挑逗。完事出来,躺在床上,昏暗橘色灯光更添暧昧。小小先是趴在我怀里亲脖子,痒痒得很舒服,反手把小小转过来推倒,还是那我那熟悉调情三件套,亲脖子,再下去奶子,再慢慢下去舔小穴。搞得小小手脚都无处安放的躁动。然后继续双重刺激,一边亲奶子,一边用手挑逗她的小豆豆,没整一会,小小突然起身直奔我小弟而去,…

21 Oct 2026, 02:20 UTC≈1,960 views3 reactionsread 4 November 2026

@xizi77 罗湖 #西子 700p 1400pp 整体身材:身高160左右,整体身材匀称微微胖,有一点小肚子,有腰屁股大(8.5分) 罩杯:E杯大奶子,胸型好看,手感柔软,因为腺体脂肪占比差不多,这么大也只是微微下催(9.5分) 服务内容:鸳鸯浴,水中萧,胸推指划舔胸舔耳调情,口爆舌吻69 感谢飞扬哥推荐呀,夸得神乎其技,搞得我也心动了,休息了马上约上西子,见面昏暗的环境都能感受到西子那波涛汹涌了,说话轻声细语很温柔,做事也不着急递水等你稍微休息好才开始收钱洗澡。一起进去洗澡,抹上沐浴露先是简单清洗,接着用她的大奶子在你身上蹭来蹭去,手也不停挑逗你的牛子,牛子也是不听话的自己变大变硬,完事冲洗完泡泡,会先一边舔奶子,一边用手刺激牛子,这个舌头舔得好爽,接着就开始蹲下来口,口活是真不错呀,伸出舌头来回舔舐,再整个含着猛猛冲击,能感受到牛子在老师嘴里疯狂搅动,好在我意志坚定,不然就像飞扬哥和几个哥们在浴室里被秒了。出来擦干…

❤3

20 Oct 2026, 07:52 UTC≈1,830 views0 reactionsread 4 November 2026
Photo

@xizi12345 #西子 超级大奶子少妇,身材比例匀称丰满,态度温柔服务卖力,吊感温热反馈骚气。好吃!!!!

19 Oct 2026, 10:46 UTC≈1,960 views0 reactionsread 4 November 2026

那种半价不约头课的老师直接可以避雷一手好吧,我想不出好老师能整这套东西,是想说出多少钱享受多少服务呢?还是你这个头课能爽翻天区别对待呢?这种我就觉得,你别半价不约了,直接头课+200,后面的课再原价。看看有多少人馋你的头课,再或者你瞒着我也行,从没碰到过直接骑脸输出的,主动说给别人听我会区别对待的,人蠢到一定程度确实没药医的。还有这次还遇到开课时间还贼晚的,对白天出击的人时间很不友好。

14 Oct 2026, 19:02 UTC≈2,750 views0 reactionsread 4 November 2026

@shanmeinu 龙华清湖 #欣欣 500p 1000pp 整体身材:身高155左右,整体微微胖,腰有赘肉,也有小肚子,不过整体观感还行(8分) 罩杯:D左右,脂肪胸,很软,没啥支撑会下催,做的时候一直晃观感不错(8.5分) 服务内容:水中萧,胸推,舔胸,舔蛋,口 偶然发现,住附近有一个价格不高,看起来还挺不错的老师。就决定探探路,约了时间,准时到达,普通小区,不过离地铁有点距离,正常上楼,进门看到老师穿的情趣制服还挺诱人,付好水费,脱衣洗澡,简单清洗一下前面,就开始水中萧,口活不错,含得很用力,然后完事出来躺床上等着。先是简单胸推,我个人对胸推不太care,接着就是舔胸,我很喜欢老师的舔法,让我的感觉一下子拉了起来,然后慢慢下去吃鸡儿舔蛋,正常水准,很舒服,就是含得有点用力,鸡儿有丢丢疼,我没说出来,其他人如果不适应记得一定要说出来。然后口了好久,差不多了就带上套套开始女上,一进去,能感觉到很紧,然后老师趴在我身上酷…

Showing the 12 most recent of 16 posts we hold for @dazzlingwitch. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

Names

Channels on the register whose handles appear in this channel's posts.

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“二十八岁 还是没人爱” (@dazzlingwitch), 2,663 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/dazzlingwitch.

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.