#轩轩 #嫩妹车 #少萝车 #故事车 🏅推荐老师:@mangguofacai 🏅推荐理由:洛丽塔服很多的妹妹 🏅推荐人:彭于晏 ❤️优点:排骨精萝莉妹妹,本人和照片一样,就是照片美白拉高了。服务看课表,讲得一手好故事,感觉人生经历比CJ有趣。 🤢缺点:牙齿有点鲍,身上纹身有点多。
👍5❤2😐1
Signed 林夏

Channel
@laobeizituijian
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
1,238subscribers
-54 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002097881881 |
|---|---|
| Type | Channel |
| Username | @laobeizituijian |
| Created | Between 1 November 2023 and 25 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/laobeizituijian |
Adult — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 19:18 | 1,238 | -8 |
| 12 Sept 2026, 12:02 | 1,246 | -3 |
| 7 Sept 2026, 23:40 | 1,249 | -6 |
| 2 Sept 2026, 20:05 | 1,255 | -8 |
| 30 Aug 2026, 22:57 | 1,263 | -9 |
| 28 Aug 2026, 03:04 | 1,272 | -4 |
| 24 Aug 2026, 17:16 | 1,276 | -4 |
| 21 Aug 2026, 04:43 | 1,280 | -3 |
| 17 Aug 2026, 18:58 | 1,283 | -2 |
| 14 Aug 2026, 08:24 | 1,285 | -3 |
| 11 Aug 2026, 04:03 | 1,288 | -4 |
| 7 Aug 2026, 22:33 | 1,292 | no change |
| 7 Aug 2026, 13:09 | 1,292 | first reading |
6 posts held, back to 25 April 2024 — 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 6 posts for this entry, the most recent from 26 May 2024. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
27 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 51.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 51.9% | |
| 👍 | 12 | 44.4% | |
| 😐 | 1 | 3.70% |
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 6 of the 6 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 25 April 2024 to 26 May 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#轩轩 #嫩妹车 #少萝车 #故事车 🏅推荐老师:@mangguofacai 🏅推荐理由:洛丽塔服很多的妹妹 🏅推荐人:彭于晏 ❤️优点:排骨精萝莉妹妹,本人和照片一样,就是照片美白拉高了。服务看课表,讲得一手好故事,感觉人生经历比CJ有趣。 🤢缺点:牙齿有点鲍,身上纹身有点多。
👍5❤2😐1
Signed 林夏
#小七 #嫩妹车 #二次元车 🏅️推荐老师:@haitangbaby1 🏅推荐理由:COS服,洛丽塔服很多的二次元妹妹。 🏅推荐人:极恶派大星 ❤️优点:性格主动,会角色扮演,言语挑逗的,各类服装很多的二次元妹妹。 🤢缺点:妆容不懂二次元的可能不太能接受。 https://t.me/+8khP4Dnet1ZlOTll
❤4👍2
Signed 彭 于晏(猫腐乳🐈)
#凌薇 #御姐车 #感觉车 🏅推荐老师:@lingwei520123 🏅推荐理由:丰满无赘肉身材的烧杯姐姐 🏅推荐人:极恶派大星 ❤️优点:身材好,胸手感棒,人又烧又会,属于是拿捏了我。 🤢缺点:敏感的兄弟谨慎,怕你坚持不到夺的那一步就交代了。 https://t.me/+8khP4Dnet1ZlOTll
❤3👍2
Signed 彭 于晏(猫腐乳🐈)
#咖啡猫 #嫩妹车 #感觉车 🏅推荐老师:@kafeimao520 🏅推荐理由:小号豆芽身材,又白又嫩。 🏅推荐人:极恶派大星 ❤️优点:身材又白又嫩,进门看到的如图一所示一致,温柔,边夺边大蟒🐍,且5/8的价格机度亲民。 🤢缺点:颜值一般,开5没问题,可以参考频道的露脸照一模一样。 https://t.me/+8khP4Dnet1ZlOTll
Signed 彭 于晏(猫腐乳🐈)
#洛灵 #嫩妹车 #颜值车 #感觉车 🏅推荐老师:@luoling83 🏅推荐理由:人照9成以上,五官精致,性格温柔,配合度高 🏅推荐人:不知名派大星 @PDX6521799 ❤️优点:皮肤白亮,挺拔B🐻,包子批,颜色粉嫩无异味,毛量极少,大蟒🐍 🤢缺点:洞口小,极度不耐桩 https://t.me/+8khP4Dnet1ZlOTll
❤3👍3
Signed K D
#依依 #颜值车 #御姐车 #身材车 🏅推荐老师:@QYyjjlyy 🏅推荐理由:人照9分 皮肤白皙 🏅推荐人:春告鳥 @dezhiwoxing_chengdou ❤️优点:不耐裝,123的福音,身材皮膚長相都挺優質。 🤢缺点:服務簡單,胸是做的 https://t.me/+8khP4Dnet1ZlOTll
❤2
Signed 林夏(加班狂魔)
Showing the 6 most recent of 6 posts we hold for @laobeizituijian. 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.
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.
@laobeizituijian named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“老辈子的车牌库” (@laobeizituijian), 1,238 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/laobeizituijian.
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.