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Channel

笑笑在坂田

@Txiaoxiao07

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

1,041subscribers

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

Register entry

Telegram ID-1003678414194
TypeChannel
Username@Txiaoxiao07
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 September 2026
Last confirmed live27 September 2026
Measurements held1
On Telegramt.me/Txiaoxiao07

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 27 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 02:221,041first reading

Engagement

18 posts held, back to 4 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
152.1%
avg views ÷ 1,041 subscribers
Avg views / post
1,580
18 posts measured
Reaction rate
0.208%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 12 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 21 September 2026
Posts held18 (4 September 2026 – 21 September 2026)
Views total28,498
Reactions total45
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 02:22 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
12
Videos
26
Links
3

Lifetime counters from Telegram’s own channel header, read 27 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.

Video runtime
1m 09s
Average length
35s

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

45 reactions across 12 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
❤4088.9%
👍511.1%

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 12 of the 18 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 45 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 4 September 2026 to 21 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

16 Sept 2026, 05:05 UTC≈1,110 viewsread 27 September 2026
Forwarded from @bantianchiji

#狼友投稿 @Txiaoxiaom #坂田 笑笑 真人比照片好看,频道照片感觉很大只,实际上应该不到 165。 胸大奶香,水很多,蓝色头发很好看。妹子怎么说呢,给人一种很平静的感觉,仿佛是跟相处了很久女朋友平常地来了一次欲望的索取。下面很紧,🐍到饱,后入很过瘾,女上也很爽,一切都很标准,感觉是很标准的一次做爱,不多也不少,没有超出阈值的刺激,也完全没有任何让人失望的地方。非常棒的做爱搭子。 By Sam小号

15 Sept 2026, 16:07 UTC≈1,200 views1 reactionsread 27 September 2026
Photo

每天只接四个/ 约满四个就不接呢

❤1

15 Sept 2026, 05:58 UTC≈1,020 views1 reactionsread 27 September 2026
Forwarded from @bantianchijiPhoto

@Txiaoxiaom #坂田 笑笑 上次帮张总报仇失败,这次从杭州回来第一时间就要找笑笑报仇了,出击之前大喊一声“张总给我力量”,然后楼下喝了瓶红牛就上楼了 见面一头的蓝色头发还是挺惊艳的,虽然照片已经见过了,聊着聊着我觉得她有点像金克斯,她不知道金克斯,就豆包了一下,给她看,然后被她白眼了,算了,忍了,待会狠狠入她就行了,毕竟我是带着张总的力量来的,我要站起来蹬 洗澡沐浴擦干,熟悉的流程熟悉的味道,先简单调情一下,亲亲嘴,舔舔奶,摸摸豆豆,扣扣逼,待小穴已经汪汪流淌的时候,站起来让她跪口,让她伸舌头,用小小屌抽打舌头,还是蛮爽的,在床上的表现还是不错的 爽完戴套,垫屁股,行云流水,猛猛插入,笑笑痛的龇牙咧嘴,打桩一分钟,笑笑让我慢点,她来感觉了,只能让张总的力量潜伏一下,然后缓慢抽查,揉着笑笑带水的豆豆,看着她揉自己奶子,阿黑颜都出来了,反差感拉满,待她进入状态,大喊一声“张总给我力量”,换了三个姿势,掐着她的脖子,看着她…

❤1

13 Sept 2026, 16:25 UTC≈1,180 views3 reactionsread 27 September 2026
Forwarded from @juliansexnotePhoto

🐺 #狼友报告 🐺 留名:leonspeed 老师名字: #笑笑 位置坐标: #坂田 颜值身材:人照无差,童颜大🐻,身材好。 服务内容:洗吹做🐍 出击体验: 课室在坂田景点,公寓楼下好停车,课室好找且方便安全。笑笑身材很棒,胸又大又软,手感绝佳。腰细臀大,皮肤滑嫩。 上课细节:陪洗认真细致,躺床上后,笑笑先是像女友一样钻入被窝,侧躺拥抱,相互抚摸游走,熟悉彼此。然后舔胸,很舒服,随后向下含住二弟,感受优秀的口活。带T传教士深入探讨,切女上躺平享受,提一下笑笑女上技术很好,边做边轻揉柔软大胸,很快就有点顶不住了。赶紧切后入,手握细腰,冲击肉臀。切侧躺侧入,欣赏笑笑优秀的身材曲线。最后换回传教士,看大胸上下波动,加速冲击,舒爽出水。各种姿势的配合度都非常好,反馈真实,表情投入。下面又润又紧,持续的强刺激,感觉时刻都要到达高潮。 评分: A- 联系方式: @Txiaoxiaom 投稿: @julian_wuya

❤3

13 Sept 2026, 15:24 UTC971 views1 reactionsread 27 September 2026
Forwarded from @bantianchiji

#狼友投稿 @Txiaoxiaom #坂田 笑笑 进门之后观察了老师的颜值,直接眼睛都舍不得离开了,尤其那一对呼之欲出的🐻,身材比例完美,频道看着有点肉,实际身材现在细枝硕果,放心坐下了。随即交水费洗澡,老师脱下衣服,完美的熊形一览无余。在浴室,和老师一起洗澡。在床上,老师的服务也小有惊喜。老师服务十分认真,可以舌吻,很配合。女上的时候完美胸型实在太诱惑了,切换到后入的姿势,老师的臀型也接近人上人,视野和手感都很爽。过程中,老师对要求一应俱全,是一次心满意足的出击。胸可以给到夯,服务态度意识强 By 坂田小小小小屌

❤1

11 Sept 2026, 06:17 UTC≈1,380 views2 reactionsread 27 September 2026
Forwarded from @bantianchiji

#狼友投稿 @Txiaoxiaom #坂田 笑笑 笑笑简直是童颜巨乳,🐻挺,翘臀,妹妹态度很好,笑笑属于慢热型,整体给人感觉很舒服,本人气质非常像异域混血小美女,身材比例非常完美,会陪洗,来到床上,口活也是相当棒👍🏻,咀嚼得很带感,很紧,小逼逼水水的,很爽,紧紧的,会夹会吸,很不错的体验 By 辰

❤2

10 Sept 2026, 07:21 UTC≈1,620 viewsread 27 September 2026
Forwarded from @bantianchiji

#狼友投稿 @Txiaoxiaom 坂田笑笑 身材超绝的,脱衣全是🐻,跟频道视频一样,人脸10成,个人感觉无差别,妹妹属于慢热型,刚进来,是有点尬场面,但是抵御不了这样的好身材,付费开始,之后妹妹会帮忙洗澡,熟悉后你会发现新大陆真的笑笑特别好玩,舌吻,69 全都没有拒绝,小嘴巴也口得很舒服,调情,舔蛋,大奶子,晃得我快要原地爆炸💥,真的大奶无敌,把脸埋在妹妹两个大乳房中间来回蹭,太喜欢了,光奶子都可以玩半天,没办法,胸控的我,天生好这口,妹妹的小穴也是又紧又粉又多水,不催 嫩 听话配合 无可挑剔,👍👍👍 By 时光

10 Sept 2026, 06:10 UTC≈1,730 views2 reactionsread 27 September 2026

教师节快乐🎉我当老师还是你来当老师呢🤪

❤1👍1

Showing the 12 most recent of 18 posts we hold for @Txiaoxiao07. 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“笑笑在坂田” (@Txiaoxiao07), 1,041 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Txiaoxiao07.

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.