━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #嫩妹 #双飞 #七里河 #7p #13pp 👤 老师:多多 (@duoduo66166) 🔗 主页:https://t.me/zz1car/254 ⭐ 综合:★★★☆☆ 3/5 ├ 🎯 技能:★★★★☆ 4/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★☆☆ 3/5 📝 评价内容: 照片像萌妹,实际坦克。下面也比较松。 不过就是环境挺好的,干净卫生。情绪价值也挺高的,能好好和你聊天什么的。 总得来说,一般。主要是人照不符(好像大多数都这样) ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-16 01:24 ━━━━━━━━━━━━━━ 兰州老师 @zz1car 兰州大学 @zz2car 兰州车评 @zz3car

Channel
🅥兰州车评🅥
@zz3car
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,309subscribers
+14 since we began measuring on 27 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003917229017 |
|---|---|
| Type | Channel |
| Username | @zz3car |
| Created | 7 July 2026 — measured — dated from the channel’s first post |
| First recorded | 27 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/zz3car |
Topic
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 89% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 09:37 | 1,309 | +4 |
| 13 Sept 2026, 00:37 | 1,305 | +2 |
| 9 Sept 2026, 03:16 | 1,303 | +1 |
| 4 Sept 2026, 01:38 | 1,302 | +4 |
| 31 Aug 2026, 10:16 | 1,298 | +3 |
| 27 Aug 2026, 23:00 | 1,295 | no change |
| 27 Aug 2026, 22:47 | 1,295 | first reading |
Engagement
12 posts held, back to 7 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 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 12 posts for this entry, the most recent from 19 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 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 2 of the 12 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 7 July 2026 to 19 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
━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #大胸 #8p 👤 老师:小雅 (@hanhanhenwenro) 🔗 主页:https://t.me/zz1car/338 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 白皮,手感细腻丝滑,要抽烟,有纹身,颜值8.3,性格超级活泼,完全就是一个话痨,聊熟悉了过后什么都可以聊,胸B,手感软绵Q弹,乳晕大小正常,乳头黄豆大小,轻轻挑逗就变硬很敏感,颜色粉棕,逼逼毛稀疏干净,户型小鲍鱼,内外颜色粉嫩多汁,舌吻亲亲超主动,🐍大蟒蛇,俏皮可爱一会舌一会儿主动亲亲嘴,69炫痘超级敏感,无异味,小屁股左右前后不停扭动😁,口活嫩妹正常水平,深喉,挑逗马眼,吸力正常,口硬带上小雨伞,传教士起手,插入明显感觉热辣滚烫,包裹感…
❤1
Channel name was changed to «🅥兰州车评🅥»
Channel name was changed to «兰州车评»
经典黑车套路科普 经常有群友问怎么防骗,这里整理一个常见套路,避免再掉坑。 黑车常见特征 1.价格异常低:如 800=3小时不限次、1300/1500包夜,远低于正常市场价。 2.照片过于完美:肤白貌美、学生兼职、空姐良家等旗号。建议先用 百度/谷歌/INS 搜图,十有八九是盗图。 3.话术千篇一律:先问城市和区域,再要求拍酒店房卡正反面。统一说“只带人不带房”。 4.社交软件特征:常见于电报,头像是美女,昵称“小小、暖暖、糖果、温柔”等。 套路类型与操作方式 类型①:假聊党 根本不在你城市,背后是抠脚大汉。 先装作“马上过来”,再说风险大,要你交100–300“诚意金/见面金”。给钱后继续要,各种理由。人没见到就给钱 = 憨批。给两次 = 憨批Plus。 类型②:见面跑路党 说“见面满意再付钱”,也可能真有人来。 常规派:约定1500包夜,做一水就找借口离开(如下楼拿衣服、借充电宝、买水、收东西)。 演技…
🅥兰州车评🅥 pinned «🎉兰州老师 @zz1car 📱兰州大学 @zz2car 👍兰州好评 @zz3car ‼️管理投诉 @ma2yun»
【验证留名】可匿名不写 【验证时间】2026 年7月 7日 【老师花名】xxx 【联系方式】xxxx 【卫生环境】xxxx 【所在位置】大体地址 【修车水费】6p 【服务内容】例子: 鸳鸯浴,水中萧,情趣调情,69,🐍,各种姿势,课表内容都有) 【服务过程】写一下详细过程 【优点缺点】 【机车行为】无 【推荐程度】9.5分(10分最高,最好不要10分) 【所在群组】@zz2car 【所在频道】@zz1car
Photo, posted without a caption
🎉兰州老师 @zz1car 📱兰州大学 @zz2car 👍兰州好评 @zz3car ‼️管理投诉 @ma2yun
【兰州老师】新手防骗指南: 1. 请找榜上老师 2. 本榜单不收定金,收定金就是骗子 3. 上课请用现金 4. 本榜单人照一致,如发现盗号或人照不一,及时通知管理员 @ma2yun 5. 上门收路费一张 打造兰州约炮第一群
❤1
Channel photo updated
Channel created
Showing the 12 most recent of 12 posts we hold for @zz3car. 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“🅥兰州车评🅥” (@zz3car), 1,309 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/zz3car.
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.