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Channel

橙心笺语

@SceneryOnTheRoad1

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

1,457subscribers

+0 since we began measuring on 5 October 2026

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

Register entry

Telegram ID-1002348369014
TypeChannel
Username@SceneryOnTheRoad1
Description旅程总有一天会迎来终点,不必匆忙。
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded5 October 2026
Last confirmed live5 October 2026
Measurements held2
On Telegramt.me/SceneryOnTheRoad1

Growth

1,4575 Oct 2026, 14:47 — 1,457 subscribers5 Oct 2026, 15:22 — 1,457 subscribers5 Oct 2026, 14:475 Oct 2026, 15:22
2 measurements taken within a single day. 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 1,456–1,458 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 15:221,457no change
5 Oct 2026, 14:471,457first reading

Engagement

11 posts held, back to 26 October 2025 — 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 14 March 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
222
Videos
82
Links
47

Lifetime counters from Telegram’s own channel header, read 5 October 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
27s
Average length
5s

Measured directly from 5 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

8 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤787.5%
🔥112.5%

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 11 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 26 October 2025 to 14 March 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

14 Mar 2026, 11:13 UTC≈2,920 views3 reactionsread 5 October 2026
Photo

苏雨桐 @suyutong5588 #T05 颜值A- 身材S 态度S 整体感受S 是否返食:会返 ——————————————— 之前广深开大圈的妹子,发现在tg开了。整体体验很好,天然C+大白兔手感巨好,肉感小只马,皮肤白皙光滑,全身滑溜溜。水中萧无敌,女上看着两个大白兔视觉拉满。缺点就是真人颜值稍微有一点差距,个子较矮,感觉158左右。

❤3

14 Mar 2026, 11:13 UTC≈10,200 views1 reactionsread 5 October 2026
Video

缘为冰 @Angieebotto #T05 颜值A 身材S 态度S 整体感受S+ 是否返食:必返 ——————————————— 两周前去的冰冰吧,答应了要写报告。但是因为拖延症一直没写,刚好今天有空,把近期新去的报告都补一下做记录。 初见非常city的小女生。小骨架,瘦高型。态度很好,很能聊。天然B+手感很好。正脸颜值很高,侧脸稍微差一些,肤色白偏黄。当时去的课室卧室有大镜子后入体验非常好。近期啪啪过程体验最好的一个,大蟒蛇全程蛇到饱。 视频非本人,但是挡住嘴巴,上面基本一模一样

❤1

14 Mar 2026, 11:11 UTC≈2,370 views0 reactionsread 5 October 2026
Photo

林小北 @Lin_xiaobei #T05 颜值A+ 身材S 态度A+ 整体感受S 是否返食:会返 ——————————————— 春节放假前见了一下小北,非常可爱的妹子。165+,圆脸大眼睛,皮肤非常好,白皙光滑。有点小出乎预期,就是骨架偏大,对于喜欢小骨架的我来说可能有一点点减分。时间比较久细节忘记了但是记得体验很好。

14 Mar 2026, 11:11 UTC≈2,160 viewsread 5 October 2026
Photo

甜柒柒 @tianqiqi111 #T1 颜值A 身材A 态度A+ 整体感受A 是否返食:不返 ——————————————— 还是1月份,看到甜77整体评价还不错,频道照片也很是我喜欢的颜值类型。加上确实逼荒很久,上一个还有点小雷。于是乎去广州约了一个夜课。 可能是去之前预期过高,有点不达预期。但是整体还是很不错。人照8成,态度很好,课室也干净整洁十分宽敞。早上还精心准备了早餐。整体算是中规中矩的一次体验。就是个人觉得老师相比照片显得有点憔悴,年纪稍大一些。

14 Mar 2026, 11:07 UTC≈1,990 views0 reactionsread 5 October 2026
Photo

吖吖 @yaya999777 #T2 颜值B+ 身材B+ 态度A 整体感受B+ 是否返食:不可能返 ——————————————— 1月份的时候苦深圳逼久已,压抑许久后看到吖吖重回深圳。之前一直没去过记得反馈还行,前阵子听说做了升级,虽然涨价幅度很高,还是临时约了晚课去看下。 见面后第一印象还行,不过还是有点来都来了。面部颜值整体还是偏网红风的,挺好看的,只是对我来说可能科技感太重,有点奇怪。当晚比较晚,妆容有点花了,稍微再扣一点分。身高记得是163-16左右。听说是重金升级了大白兔所以涨价比较多。脱衣服确实很大很挺,但是对我来说有点反向升级了。比较喜欢天然的即使只要A。整体还是偏硬。整体不符合预期还是因为皮肤不好,大腿根部抽脂的疤痕这个是有提前知道的,并不影响。肤色偏黑,不太光滑。但是态度挺好。而且特别紧,从进去到发射都被勒的很痛。

16 Jan 2026, 05:11 UTC≈3,070 views1 reactionsread 5 October 2026

春朝 @ChunZhaoChannel 春朝频道 https://t.me/+zniJcLhrMpcwZDc1 春朝群 https://t.me/+bEdYKR1ZGykwOThl 春朝书友会(学生群) 安得一隅,静待花开。春朝群可免订

❤1

12 Dec 2025, 05:27 UTC≈4,050 views0 reactionsread 5 October 2026
Photo

恭迎qi皇回归 @imqiqi7700 https://t.me/babyabc320

12 Dec 2025, 04:43 UTC≈3,580 views1 reactionsread 5 October 2026

跟欲诺的缘分是从11/24晚上线看到频道发了通知要来广州开始。当时很诧异,这个是什么频道(前阵子已经把所有老师频道都退掉了),看了几个群聊才知道,北京的欲诺大美女要来广州了。很久以前杰瑞推荐过,当时顺手就关注频道,前阵子清频道居然刚好漏了想着既然这么有缘分,深圳最近又没有什么值得去的好老师,就去广州见一下欲诺。当晚便联系欲诺美女约时间哪知频道刚发消息1小时,六号七号两个周末的夜都约完了,顺口问了一下5号,刚好没人约。便约定在这个时间相见。 到了5号是一个周五,我提前收拾好行李下班后便拿上东西直奔北站坐车。9点半到广州东后,前往酒店的路上还在跟欲诺聊天,欲诺说还没吃晚饭要不要一起先出去吃个饭两个人在挑选餐厅中。就在我还有3分钟到达目的地的时候,欲诺给我传来了一个坏消息,突然来红了。 当时大脑一片空白感叹这次要白跑一趟了吗两人合计等见面再说吧。在酒店楼下等欲诺来接看到一个俏生生的穿着牛仔裤,蕾丝吊带内…

❤1

12 Dec 2025, 04:43 UTC≈6,420 views0 reactionsread 5 October 2026
Photo

欲诺 @nideyunuo888 #T0 颜值S 身材S 态度S 整体感受S+ 是否返食:必返 ——————————————— 颜值很高很立体,小网红感但是比大部分网红都自然很多,皮肤雪白光滑。身材纤细,有马甲线细腰。166左右身高,纤细的身材衬的腿很长,小腿大腿都比较瘦。不过有胸有屁股,屁股肉肉的胸B+以上,挺拔,胸型非常好看。硬件上真的毫无缺点,就是大腿有抽脂留的疤。硬要说缺点,可能就是衣服脱光后会有一点点小驼背的感觉 软件上更是无敌,旋转口活就不过多说了。很想表扬欲诺的舌吻,是我至今见过最充满冲击性的舌吻体验非常好。不像大部分妹妹唇齿交融之外,欲诺在过程中会阶段性的发起猛攻突然把整个舌头很用力、很快的全部塞到嘴里疯狂搅动。啪啪过程便不再赘述非常好的一次体验。态度也好,性格也好,会聊天夜课很能聊,睡的很安稳可以两个人一起入睡,不像部分妹妹夜课自己睡不着让客人自己睡觉。

26 Oct 2025, 15:13 UTC≈4,040 views1 reactionsread 5 October 2026

梓嫣 @ziyyan030 #T1 颜值A+ 身材A 态度A 整体感受A+ 是否返食:否 ——————————————— 同样真实身高,黄皮偏黑,皮肤没有苏苏光滑。胸B,但是属于高挑细腰长腿型,难得的175+窄肩妹妹(个人最XP身材类型,高挑细腰腿长窄肩),很少的。身材见频道黑色裙子,颜值评价和苏苏差不多,个人感觉梓嫣略高一点点但差距不大。 梓嫣跟苏苏在一个屋子,下午正好领个两个妹妹的卷就一起来看看刚来的时候是苏苏在屋里,梓嫣在楼下放风。和苏苏结束后,按理说状态不好应该休战回家,但是提前收集了情报,知道梓嫣的身材更对我XP,就还是想见一下。就让苏苏下楼换岗了。 梓嫣的舌吻会更主动已经不能叫大蟒蛇,第一次见到有人舌吻把整个舌头塞对方嘴里的,根本碰不到梓嫣的嘴唇。口技也很好,这次可能是休息了一下的原因,没有在疲软了,非常坚挺。顺利完成女上、传教、后入最后出水。过程中梓嫣会说一些调情的小话,不会干巴巴的哼哼唧唧。 后面复盘了…

❤1

26 Oct 2025, 15:13 UTC≈3,510 views1 reactionsread 5 October 2026

苏苏 @sssu04 #T1 颜值A 身材A+ 态度S 整体感受A 是否返食:否 ——————————————— 真实身高,高挑长腿,黄皮,皮肤光滑,胸D,手感很好。属于大车类型,肩有点宽,肚子有一点点肉。 身材见苏苏频道,蓝色裙子同款身材。颜值的话,个人感觉尚佳,和频道内其他T1同水平线。 态度很好,穿上高跟鞋基本跟我一样高鸳鸯浴的时候把泡泡抹在苏苏车灯上蹭蹭很爽。浅蛇,会主动舔蛋蛋,口技很好,可以一点深喉,并且会主动含住,大幅度抽插,有点日嘴的感觉了。期间有点小插曲,可能是因为周末两个晚上都熬夜没怎么睡。状态不是很好平时出击都是洗澡的时候就硬梆梆,今天等到苏苏帮我口的时候才硬,但是一停下就软。折腾了半个多小时,浪费四五个套,最后借着小电影保持坚挺状态戴上套套顺利探洞,但是很快就缴械了。 总体苏苏的硬件和态度都很不错,今天个人原因有点滑铁卢(五年出击生涯第一次软趴趴,可能年纪到了确实要注重休息),拿了券1Kp感觉很值…

🔥1

Showing the 11 most recent of 11 posts we hold for @SceneryOnTheRoad1. 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.

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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“橙心笺语” (@SceneryOnTheRoad1), 1,457 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/SceneryOnTheRoad1.

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.