Encounters · 一面💝 pinned a photo

Channel
Encounters · 一面💝
@encounter_ls
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
185subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004450414435 |
|---|---|
| Type | Channel |
| Username | @encounter_ls |
| Description | 记录每一次与人的相遇、交流和感受 |
| Created | Between 1 June 2026 and 27 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/encounter_ls |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 12:17 | 185 | no change |
| 8 Aug 2026, 08:31 | 185 | +1 |
| 7 Aug 2026, 18:03 | 184 | first reading |
Engagement
19 posts held, back to 27 July 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 202.6%
- avg views ÷ 185 subscribers
- Avg views / post
- 375
- 16 posts measured
- Reaction rate
- 0.408%
- reactions ÷ views · ER floor
- Posts in window
- 19
- of 19 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 5 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 19 (27 July 2026 – 8 August 2026) |
| Views total | 5,997 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 12:17 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
- 55
- Videos
- 1
- Links
- 3
Lifetime counters from Telegram’s own channel header, read 8 August 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.
Reaction mix
8 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 100.0% |
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 5 of the 19 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 July 2026 to 8 August 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
Encounters · 一面💝 pinned a photo
Encounters · 一面💝 pinned a photo
🏆 综合评分:9.8分 ⭐️⭐️⭐️⭐️⭐️ 【验证留名】:Wiali 【验证时间】:2026/8/7 【妹子艺名】:灵儿 【联系方式】:@xiaoyingtao88 【上课水费】:3500pp 【老师类型】:服务情绪双绝 | 身材火爆 | 女上封神 | 极有品味 ━━━━━━━━━━━━━━━ 一间被认真布置的小屋, 一束精心挑选的百合, 一杯刚好赶上立秋的奶茶。 每一个细节, 都是她与这个世界相处的方式。 原来真正让人心动的, 从来不是她拥有多少美好。 而是她始终相信, 这个世界值得被认真对待。 ━━━━━━━━━━━━━━━ 颜值 9.7 ⭐️⭐️⭐️⭐️⭐️ 😘 甜软的一张娃娃脸,眼睛又大又圆,是很干净的宝蓝色,看人的时候容易让人觉得被轻轻吸住。皮肤白里透着点粉,嘴唇软软的,带着自然的水光。头发是浅棕色的大波浪,带点刘海,显得又乖又有点小妩媚。整体气质偏软萌,笑起来眼睛会弯,第一眼就很舒服。 身材 9.8 ⭐️⭐️⭐️…
华丽的分割线
🏆 综合评分:9.8分 ⭐️⭐️⭐️⭐️⭐️ 【验证留名】:Wiali 【验证时间】:2026/8/5 【妹子艺名】:肘子 【联系方式】:@lx1122330 【上课水费】:1400p 【老师类型】:颜值身材双绝 | 青春粉嫩 | 服务惊喜 ━━━━━━━━━━━━━━━ 有些人也曾试着 把自己画得更成熟一些, 可底子太新,怎么画, 都还是那股刚开封, 带点生涩的漂亮。 那一刻我突然明白—— 真正的青春无敌, 从来不是形容词, 原来最好的年纪, 真的可以如此耀眼。 ━━━━━━━━━━━━━━━ 颜值 9.9 ⭐️⭐️⭐️⭐️⭐️ 😘 网上很多所谓的“神颜”,不是假照就是照骗,离开滤镜和精修之后往往经不起现实检验。但她属于完全相反的类型——妹子真人比照片漂亮十倍,是我目前见过最漂亮的。第一眼沦陷,是真的会产生短暂失神的感觉。照片无法还原她真实的灵气,真人的五官立体感、皮肤状态和整体气质,比照片里的她还要漂亮太多。 冷白皮让整个…
徐老师 @baiyuejz 的总结,太有意思了! ━━━━━━━━━━━━━━━ 杭州市场三大生存法宝: 进门大蟒蛇🤣, 人肉猪皮灯🤣, 高昂的情绪互拍能力🤣 外➕给予拖堂的时间🤣。 😀 😑 😞 🤣
🏆 综合评分:9.8分 ⭐️⭐️⭐️⭐️⭐️ 【验证留名】:Wiali 【验证时间】:2026/8/3 【妹子艺名】:林一 【联系方式】:@futianlinqiao1 【上课水费】:2500p 【老师类型】:容貌甜美 | 性感身材 | 床感无敌 | 服务拉满 ━━━━━━━━━━━━━━━ 那一天, 我们只是在普通夏日午后遇见。 没有人知道,这场短暂的相逢, 会不会成为未来某段岁月里, 最温柔的回忆。 ━━━━━━━━━━━━━━━ 颜值 9.7 ⭐️⭐️⭐️⭐️⭐️ 😘 妹子属于那种真人和照片一样漂亮。第一眼就吸睛,妥妥的大美女。鹅蛋脸,五官精致立体,皮肤白皙细腻,底妆干净,妆感偏清透。平扇双眼皮,长长的睫毛(感觉很自然不像是戴假睫毛),眼睛比较大,而且眼神柔和带笑。额头饱满圆润,鼻子挺直,唇形饱满,唇色偏粉。黑色长直发,发质看起来比较顺滑,刘海自然。整体气质偏清冷混一点甜感,不光第一眼美女而且属于比较耐看的类型。 身材 …
今天我突然发现我喜欢的一个已经上岸的老师频道里内容突然清空,让我一阵唏嘘不已😂。 我决定以后每个出击老师的作业后面的评论区配上一张老师最经典最漂亮最有代表性的照片以作留念😍。 如照片或视频涉及版权问题,请老师或版权所有者联系我,我会第一时间处理并下架,这里我就不在每个老师的评论区一一公告了🙏
🏆 综合评分:8.5分 ⭐️⭐️⭐️⭐️⭐️ 【验证留名】:Wiali 【验证时间】:2026/7/31 【妹子艺名】:玥璃 【联系方式】:@yueli_mh 【上课水费】:1800PP 【老师类型】:莞式水磨 ━━━━━━━━━━━━━━━ 老师gzs在闵行著名小区,来之前有点犹豫,不过还是想体验一下群里面推的这个服务系的ls。到了以后车ls说可以停小区里面,我想了想也没敢停小区里面,停在旁边商城了,反正看导航走路也很近。不过天太热,走进去一身汗貌似应该停进去的。 到了以后抽支烟歇歇,没想到ls也抽烟。正好抽烟聊聊,ls长的还行,频道里面大部分不是真照,有几张比较像的,和黑夜骑士发的那个评论里面的图片7~8分像,脸有科技感。群里面说25岁御姐但是我感觉应该不止,因为看到笑起来有皱纹了。身材还不错,身高165大概重100斤左右吧,胸D-,屁股有肉。 虽然胸是八字奶而且有点细纹松弛感,但是我非常喜欢,因为非常软,摸着捏着很舒服…
❤3
从今天开始,我会不定期动态调整妹子的评分,以前评分高,是因为见识少。 比如以前cj楚晚宁打9.8分过高是因为当时接触的嫩妹很少,但是随着接触嫩妹越来越多,对硬件和软件要求就会越来越高,现在修正为9.0; 与之相反的是妮妮打9.5分过低是因为当时同类型接触过少导致误以为软硬件俱佳是件很容易的事情,现在修正为9.7。 至于有些打分偏高大部分是因为天赋异禀,要么健身系,要么会潮喷,要么巨臀,不然就是双阴道,或者就是异常的紧致等,天赋怪有额外加成🤩。大奶就算了,D奶不罕见,除非E乃至G才能得到额外加分😝 所以以后评分会随着标准提升动态修正,但不会否定过去,即所有文字记录均不会修改,即使有补充也会另外放在评论区。
❤1
老狼我这两天不是被🕊就是下体不适,实在郁闷,整理了一下心情,继续开始约天菜,终于下周约上了一个也是心心念的妹子,希望这次不要被🕊了😇
Showing the 12 most recent of 19 posts we hold for @encounter_ls. 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.
Citation-graph rank
Citation-graph rank — 627,576 of 1,176,251entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Encounters · 一面💝” (@encounter_ls), 185 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/encounter_ls.
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.