[洞友认证车库] #花花 【认证老师】: @ChengDu_HuaHua 【老师属性】: #女大 【认证狼友】: pussy 【报告查阅】: https://t.me/cdcpupupupu/779 【老师优点】: 嫩妹,学生气,白皮,无纹身,敏感体质 【老师缺点】: 颜值太过普通 【老师其他】: 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤1

Channel
@kinggilr
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
8,507subscribers
+364 since we began measuring on 19 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002096893972 |
|---|---|
| Type | Channel |
| Username | @kinggilr |
| Description | 真实的洞友推荐老师 如有推荐请联系:@shudongzzaizai |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 August 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/kinggilr |
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 64% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Nov 2026, 10:26 | 8,507 | +2 |
| 30 Oct 2026, 08:29 | 8,505 | -1 |
| 27 Oct 2026, 09:28 | 8,506 | +4 |
| 24 Oct 2026, 10:45 | 8,502 | +12 |
| 21 Oct 2026, 14:06 | 8,490 | +2 |
| 18 Oct 2026, 02:26 | 8,488 | +13 |
| 15 Oct 2026, 04:51 | 8,475 | +9 |
| 12 Oct 2026, 07:36 | 8,466 | +3 |
| 5 Oct 2026, 05:37 | 8,463 | +76 |
| 26 Sept 2026, 22:57 | 8,387 | +56 |
| 18 Sept 2026, 05:37 | 8,331 | +27 |
| 14 Sept 2026, 08:18 | 8,304 | +3 |
| 11 Sept 2026, 03:00 | 8,301 | +24 |
| 6 Sept 2026, 13:40 | 8,277 | +61 |
| 1 Sept 2026, 19:14 | 8,216 | +8 |
| 29 Aug 2026, 21:43 | 8,208 | +23 |
| 26 Aug 2026, 13:04 | 8,185 | +18 |
| 23 Aug 2026, 19:34 | 8,167 | +21 |
| 19 Aug 2026, 18:34 | 8,146 | +3 |
| 19 Aug 2026, 07:15 | 8,143 | first reading |
27 posts held, back to 16 May 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 14 pages of Telegram’s post history, 20 posts per page.
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 30 October 2026 |
|---|---|
| Posts held | 27 (16 May 2026 – 30 October 2026) |
| Views total | 8,030 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 10:24 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.
Lifetime counters from Telegram’s own channel header, read 5 November 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.
Measured directly from 3 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.
65 reactions across 26 posts, in 3 distinct kinds. The most used accounts for 96.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 63 | 96.9% | |
| 🔥 | 1 | 1.54% | |
| 😁 | 1 | 1.54% |
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 26 of the 27 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 16 May 2026 to 30 October 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.
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
[洞友认证车库] #花花 【认证老师】: @ChengDu_HuaHua 【老师属性】: #女大 【认证狼友】: pussy 【报告查阅】: https://t.me/cdcpupupupu/779 【老师优点】: 嫩妹,学生气,白皮,无纹身,敏感体质 【老师缺点】: 颜值太过普通 【老师其他】: 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤1
[洞友认证车库] #元瑶 【认证老师】: @zo25833 【老师属性】: #嫩妹 【认证狼友】: 棒老二 【报告查阅】:https://t.me/zhidwk13145/501 【老师优点】: 态度好 情绪价值高 三点粉 皮肤白嫩光滑 很骚的那种 【老师缺点】: 抽烟 纹身 【老师其他】: 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤3
[洞友认证车库] #小清 【认证老师】: @XiaoBa8123 【老师属性】: #御姐 【认证狼友】: 🅥 【报告查阅】: https://t.me/Qingnianwenzhaipyy/512 【老师优点】: 硬件和软件都很顶,大蟒蛇,敏感体质,做爱圣体,配合、水多、耐桩。 【老师缺点】: 妹妹说最近嘴受伤了,没口。 【老师其他】: 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤2
[洞友认证车库] #冷冷 【认证老师】: @aweds10 【老师属性】: #嫩妹 【认证狼友】: 王大锤 【报告查阅】: https://t.me/dachuicj11/1185 【老师优点】: 胸应该是C+吧,又圆又饱满,身材匀称,正常皮肤偏白,脚涂了指甲油,很好看。下面人工白虎,紧度不错,后入很爽。 【老师缺点】: 大锤没写 【老师其他】: 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤1
[洞友认证车库] #小桑 【认证老师】: @wenwennio 【老师属性】: #嫩妹 【认证狼友】: 33 【报告查阅】:33号远征队 【老师优点】: 丰满,眼镜娘,紧 【老师缺点】: 经验比较少 【老师其他】: 距离市区较远 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤2
[洞友认证车库] #优优 5号 【认证老师】: 依依抓龙筋 @cd539 【老师属性】: #御姐 168/98/34 【认证狼友】: 【报告查阅】:强烈推荐5号。 一进门就看到了一个身材非常哇塞,颜 值巨高的小姐姐。尤其是说话的声音太 甜美了。感觉瞬间就来了,然后洗澡, 洗完澡后帮忙擦干后背,让我坐到床 边,开始跳舞非常有诱惑的舞蹈 我二弟也是情绪高涨。然后躺床上放松 下身体, 重头戏就开始了,老师用各种 手法控制着你二弟,让他始终保持在射 与不射的边缘。一直舒服一直爽,接下 来也是最刺激的时刻开始了,老师用丝 袜代替手掌刺激你二弟的大光头,爽的 立马就四肢麻木灵魂出窍了。也体验过 了啥叫爽的要死的滋味,此时此刻你以 为结束了吗。 NO没那么简单放过你。 最后还有前列腺高潮,高潮来临的时 候,整个下身像是被一团暖流包裹欲飘 欲仙。特别舒服。大脑彻底防空同时你 就开始狂喷了,喷的时候你回过来神 又是强烈的刺激。接下来就是潮…
❤7
[洞友认证车库] #芷青 【认证老师】: @Yongdaimei520 【老师属性】: #嫩妹 【认证狼友】: pyy 【报告查阅】:《青年文摘》 【老师优点】: 颜值乖巧,身材蛮不错不土不精神的嫩妹。性格非常好很爱笑,聊天情绪价值之类的都有 【老师缺点】: 抽烟 【老师其他】: 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤3😁1
[洞友认证车库] #如花 【认证老师】: @mmhhhrrr 【老师属性】: #嫩妹 【认证狼友】: 悲伤土豆人 【报告查阅】:《土豆人の日记本》 【老师优点】: 皮肤又白又紧实,🐻也挺拔,身材非常好 【老师缺点】: 各种技能都不太娴熟 【老师其他】: 其实这个缺点也可以叫优点 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤2
[洞友认证车库] #芋圆 【认证老师】: @yy1873 【老师属性】: #嫩妹 #萝莉 【认证狼友】: 格尔曼 【报告查阅】:https://t.me/dengdaizhengyixiaojie/752 【老师优点】: 长得非常乖巧可爱。软件也很不错,交流起来蛮有意思的。 【老师缺点】: 狗头自述是浅舌 【老师其他】: 但是狗头二刷了 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤1
[洞友认证车库] #洛熙 【认证老师】: @luoxi1888 【老师属性】: #嫩妹 【认证狼友】: 棒老二 【报告查阅】:https://t.me/zhidwk13145/469 【老师优点】: 态度好 颜值高 三点粉 大蟒蛇🐍也是一绝 【老师缺点】: 抽烟、纹身 【老师其他】: 鸡儿太大可能拒接 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤1
[洞友认证车库] #小乖 【认证老师】: @XGang06 【老师属性】: #嫩妹 #美胸 160cm,体重100,C+杯 【认证狼友】: 大白菜 @xiaobaicaics 【报告查阅】: https://t.me/xiaobaicaichuji123/662?single 【老师优点】: 胸很漂亮,颜值不错,批紧很润 【老师缺点】: 无舌吻,仅Kiss 【老师其他】: 价格6/11pp(50/90分钟) 小乖07年,自聊,个子不高,甜妹打扮,性格偏安静,人照8.5分,脱了衣服水蜜桃一样,身材性感,皮肤滑嫩,没有纹身,不抽烟,气质干净,开6p合适,适合喜欢吃嫩的狼友打卡。 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤6
洞友认证车库] #晚凝 【认证老师】: @wan520ning 【老师属性】: #御姐 【认证狼友】: 11 【报告查阅】: https://telegram.me/Tudourijiben/175 【老师优点】: 身材犯规 夸夸型人格 【老师缺点】: 假胸 【老师其他】: 小腿有点纹身 树洞家人群 吃瓜频道 狼友点评-黑车榜
❤4
Showing the 12 most recent of 27 posts we hold for @kinggilr. 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.
@kinggilr named 1 handle 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.
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.
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 2 November 2026 — this entry's latest reading, not the date you are reading this.
“洞友认证车库” (@kinggilr), 8,507 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/kinggilr.
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.