老师艺名:#可可 老师地址:#龙湾区 老师三围:#身高166 胸围C 人照对比:8分 服务内容:#舌吻 69 水多,潮喷 联系方式:@kkke011 老师频道:@kkke012 消费价格:800p 1400pp 🙃🙂↕️😋🚀🛸✈️🚀

Channel
温州车所
@THEDVTF
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
44,223subscribers
-6,025 since we began measuring on 25 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001469759534 |
|---|---|
| Type | Channel |
| Username | @THEDVTF |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 25 August 2026 |
| Last confirmed live | 29 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 29 October 2026 |
| On Telegram | t.me/THEDVTF |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Oct 2026, 15:06 | 44,223 | -119 |
| 28 Oct 2026, 17:56 | 44,342 | -236 |
| 27 Oct 2026, 16:29 | 44,578 | -138 |
| 26 Oct 2026, 15:40 | 44,716 | -474 |
| 25 Oct 2026, 15:27 | 45,190 | -195 |
| 24 Oct 2026, 13:10 | 45,385 | -301 |
| 23 Oct 2026, 14:54 | 45,686 | -177 |
| 22 Oct 2026, 12:45 | 45,863 | -400 |
| 21 Oct 2026, 03:50 | 46,263 | +4,381 |
| 20 Oct 2026, 01:48 | 41,882 | -169 |
| 19 Oct 2026, 03:41 | 42,051 | -276 |
| 18 Oct 2026, 05:17 | 42,327 | -239 |
| 17 Oct 2026, 07:34 | 42,566 | -665 |
| 16 Oct 2026, 06:06 | 43,231 | -73 |
| 15 Oct 2026, 05:47 | 43,304 | -498 |
| 14 Oct 2026, 03:57 | 43,802 | -341 |
| 12 Oct 2026, 01:59 | 44,143 | -549 |
| 7 Oct 2026, 09:39 | 44,692 | -669 |
| 2 Oct 2026, 12:56 | 45,361 | -1,790 |
| 18 Sept 2026, 12:20 | 47,151 | first reading |
Engagement
49 posts held, back to 18 August 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 135 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.764%
- avg views ÷ 44,223 subscribers
- Avg views / post
- 338
- 21 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 21
- of 49 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.
| Window | Rolling 30 days · latest post in window 29 October 2026 |
|---|---|
| Posts held | 49 (18 August 2026 – 29 October 2026) |
| Views total | 7,096 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Oct 2026, 06:59 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
- Video runtime
- 3m 11s
- Average length
- 7s
Measured directly from 28 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.
Recent posts
老师艺名:#嘟嘟 老师地址:#龙湾区 老师三围:身高165 胸围 C 人照对比: 9分 服务内容:# 无套吹箫 69乳推 深候 联系方式:@dduutvt 老师频道:@duduyyed 消费价格:800p 1300pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#依悦 老师地址:#龙湾区 老师三围:#身高169 胸围B+ 人照对比:9分 服务内容:#鸳鸯🐍吻69 无套吹箫 联系方式:@yiyuehennuli 老师频道:@yiyuede 消费价格:1000p 1800pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#大波baby 老师地址:#瓯海区 老师三围:#身高173 胸围D 人照对比:9分 服务内容:#舌吻 69 口爆 联系方式:@Baby11258 老师频道:@Baby11259 消费价格:800p 1500pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#敏敏 老师地址:#鹿城区 老师三围:#身高160 胸围 C 人照对比:8分 服务内容:#舌吻 69 鸳鸯浴 联系方式:@minxiaomei1 老师频道:@minxiaomei11 消费价格:600p 1100pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#可乐 老师地址:#龙湾区 老师三围:身高168 胸围 B 人照对比: 9分 服务内容:#🐍吻69 蚂蚁上树 联系方式:@KELE6162 老师频道:@houhuayuan2 消费价格:700p 1400pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#曦曦 老师地址:#瓯海区 老师三围:#身高165 胸围C 人照对比:9分 服务内容:#🐍鸳鸯 zhi服you惑 联系方式:@mudan021 老师频道:@ximeng13145220 消费价格:800p 1200pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#甜心小主 老师地址:#鹿城区 老师三围:#身高168 胸围 D 人照对比:9分 服务内容:#御姐、69、丝袜 联系方式:@shanji3566 老师频道:@tianxbaobei 消费价格:800p 1600pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#玲玲 老师地址:#鹿城区 老师三围:#身高170 胸围C 人照对比:9分 服务内容:#无套吹箫 丝袜制服 鸳鸯浴 联系方式:@LING170 老师频道:@linglingC170 消费价格:600p 1100pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#小汁汁 老师地址:#鹿城区 老师三围:身高163 胸围 C 人照对比: 9分 服务内容:#舌吻 69 观音坐莲 联系方式:@ZZ222zz2 老师频道:@ZZ222212zz 消费价格:600p 1200pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#琳娜 老师地址:#龙湾区 老师三围:#胸围C 身高165 体重108 人照对比:9.9分 服务内容:#水中萧 深喉 舌滑 毒龙🐉 联系方式:@linnaluck 老师频道:@linnacastle 消费价格:800p 1500pp 🙃🙂↕️😋🚀🛸✈️🚀
老师艺名:#九儿 老师地址:#龙湾区 老师三围:#身高166 胸围B 人照对比:9分 服务内容:#69🐍吻 毒🐉 鸳鸯浴 联系方式:@tidldpuxphjbrhr 老师频道:@jiuer66889 消费价格:1000p 1800pp 🙃🙂↕️😋🚀🛸✈️🚀
Showing the 12 most recent of 49 posts we hold for @THEDVTF. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@sososo · 576,4218 posts天然大波Baby课堂
@Baby11259 · 1,2802 posts嘟嘟💋小窝
@duduyyed · 1,2902 posts九儿密密花园
@jiuer66889 · 1,5302 posts可可的朋友圈
@kkke012 · 1,6022 posts玲玲170
@linglingC170 · 1,8962 posts琳娜的后宫
@linnacastle · 2982 posts敏敏小🏠
@minxiaomei11 · 1,1422 posts沐沐的私密圈
@mumu1121121 · 3622 posts祁祁花园
@qiqiya52521 · 1,9802 posts甜茶小屋
@tainchaikongjian · 1,0402 posts甜心后花园
@tianxbaobei · 2,3502 posts温宁老师课程表【莞式水磨】
@wenbaobao1 · 3362 posts子希的小🏡
@xiaoyue0577 · 2292 posts曦曦的日常分享
@ximeng13145220 · 992 posts芝芝的小房
@XYZ225578 · 1812 posts依悦的大城堡
@yiyuede · 962 posts小汁汁宝贝课堂🏠
@ZZ222212zz · 8202 posts小颖越努力越幸运
@hardworklucky · 1981 postCos-九儿个人频道
@jiuerCOS · 1,9691 post十七宝宝
@shiqi555511 · 6131 postSOSO搜搜🔞
@SosoCnBot · 240,7471 post夕夕的友友圈
@XX167c011 · 2381 post小仙女🍼啊狸🍭
@xxn65258 · 4241 post
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@THEDVTF named 2 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 3 posts, 2 September 2026 – 4 September 2026 · confirmed gone 12 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 15 September 2026 – 15 September 2026 · confirmed gone 6 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 29 October 2026 — this entry's latest reading, not the date you are reading this.
“温州车所” (@THEDVTF), 44,223 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/THEDVTF.
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.