@yuanyuan13145 总结:6张价位给到夯,热情活泼配合度高+168高挑s型身材+皮肤白皙小粉笔+翘臀挺拔大雷+无敌口活近8min+女上桩机4min+基本全程都在蛇+耐桩+排课宽松+敬业卖力 介意点:1.在我这没有缺点,六边形战士,小孙千颜值我吃。 2.第一次约课需要一张定 ps我实在找不到什么介意点,就当这个是吧,需要定会劝退一些观望的ly。

Channel
火鸡味锅巴
@rrreeeset
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
822subscribers
+63 since we began measuring on 8 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003712093780 |
|---|---|
| Type | Channel |
| Username | @rrreeeset |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 October 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/rrreeeset |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 25 October 2026 and assigned it the closest of 31 fixed categories, at 69% 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 |
|---|---|---|
| 25 Oct 2026, 07:10 | 822 | +5 |
| 18 Oct 2026, 15:39 | 817 | +39 |
| 12 Oct 2026, 12:37 | 778 | +19 |
| 8 Oct 2026, 19:22 | 759 | no change |
| 8 Oct 2026, 18:47 | 759 | first reading |
Engagement
14 posts held, back to 1 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 72.0%
- avg views ÷ 822 subscribers
- Avg views / post
- 592
- 6 posts measured
- Reaction rate
- 0.112%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 14 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 2 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 October 2026 |
|---|---|
| Posts held | 14 (1 August 2026 – 7 October 2026) |
| Views total | 3,549 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Oct 2026, 19:22 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
- 17s
- Average length
- 17s
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.
Reaction mix
5 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 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 7 of the 14 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 1 August 2026 to 7 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.
Recent posts
@yuanyuan13145 在新秀榜刷到过沅沅,当时只是扫过一眼,没被立马吸引住的原因还是沅沅选的上榜照不太好,最近刚发的艺术照就很吸引人。后来有ly说沅沅主动程度和小黑妹不逞多让,那我这高低得一探究竟。提前预约后驱车前往,也是拆迁户小区,直达地库后上电梯,隔壁也没住人,非常安全。到达门前,门虚掩着我直接推门进去,老师带着猫耳俏皮可爱,和频道照片一点没差,估计照片是直出的。老师个子有168左右,身材高挑,第一印象就是皮肤白且看得见的光滑。沅沅穿着一件齐逼小睡袍,居然还是真空,给我拿水的时候就看得一览无余。宽松的睡袍也遮盖不住自然挺拔的胸脯和挺翘的pp。我个人觉得有点像孙千,沅沅说也有其他ly这么说过。 进入浴室,我不是头课但里面也拖得干干净净,加上客厅也很整洁,可见沅沅是个很爱干净的小嫩妹,这点好评。在浴室里沅沅递给我漱口水,因为淋浴间有点小,加上沅沅没有主动脱衣服进来一起洗。我就自助洗了下,沅沅在边上陪聊哈哈哈(…
❤1
倒霉熊沅沅国庆刚回来第一天就红休了😂😂晚点发小作文,近期苏州力荐👍
夸一下苏州的治安和人的高素质,下午匆忙去老师那上课,忘记关车门,车门大大方方开着在那一个半小时,啥东西也没丢。车里有4k现金和几包华子😂😂😂
@ababaejkc 总结:6张价位给到人上人,身材比例佳,挺拔大雷+大屁股,一线天小粉笔。 介意点:1.不算大蟒蛇,舌头伸一半。 2.化妆不如素颜 3.不耐桩(我干了10min出头)
@ababaejkc 在新秀榜刷到小颜后,被洋溢的青春气息吸引到,看照片是个清纯嫩妹于是果断约课。课室可直达地库,一梯两户,隔壁还没装修,非常安全。进门后,老师皮肤正常黄皮,没有照片那么白,人照6分左右,妆造水平一般,脸和脖子色差太大了,感觉还不如素颜好看,没有照片那种清纯俏皮的感觉,内心还是有些小落差的。不过老师虽然个子应该160左右,但头身比确是不错,穿一条齐逼牛仔小短裤+一件白色短袖,藏不住笔直的微胖肉腿和呼之欲出的挺拔大雷,硬件非常顶,我也就没有漂移,交了水费进入卫生间。 小颜脱去睡袍进来陪浴,Q弹的大白兔是腺体胸,即使脱去bra也依旧挺拔,她帮我洗的时候我就开始玩起了奶子。肚子上有一点点肉,不过不影响,我偏好这种微胖身材。 洗完擦干后,让小颜换上我带的兔娘制服,均码的制服果然太小,比较紧身小颜换好后趴了上来,沉甸甸的巨乳压了上来,然后从上到下一路舔到二弟。口活就是普通嫩妹水平,没有深喉。口得邦邦硬…
感谢老板发的中秋p资,中秋猛冲!!!
总结:7张价位给到顶级,170高颜值嫩妹,会聊天还爱笑,情绪价值拉满。做爱女友感十足且十分配合,大蟒蛇一枚,做爱的一大半时间都在🐍。 相当之敬业的老师,即使发烧也不鸽提前约的客人,必须点赞 介意点:1.背部纹身面积略大 2.对我这种喜欢微胖的来说太瘦,对于喜欢白瘦幼的就是极品。
@Zkdnee 提前数天就预约了佳一老师,超时空预约也并不需要支付定金,那我必然不可能当鸽子。车开到一半,桩基哥告知我佳一发烧了,这个情况老师鸽子ly的话很正常,咱也不能强迫老师带病上课吧,遂靠边停车询问佳一是否今天休息,休息的话我就打道回府。出乎意料的是,佳一老师说自己已经吃过退烧药,不接当天约课的,但提前预约的都不会鸽子,并俏皮得反问难道不想试试38.5度的她嘛。这样的态度必须好评啊,再加上小烫b这个buff,直接切换运动模式加速往苏州开去。 按老师导航上楼,在某商业广场的公寓里,楼下有个保安坐着不管事也不用刷卡。进门映入眼帘的是一双大长腿,身高170+,整个人笔直纤细。人照基本是毫无水分,妆化的比较浓,但妆造蛮不错的。脸型是小小的长脸,有女友感,有点像韩国女团baby monster里的ASA。皮肤是黄种人的那种白,肤质光滑细腻。老师和线上一样活泼俏皮,情绪价值蛮高的。 陪浴的时候看清了酮…
❤1
今天没吊事干 晚点更新下佳一和小颜的长篇😬
怎么我难得没出都传到无锡去了・_・?以后得出击完隔几天发了😭😭
#硬了么 #桃花坞 关于“库洛米”否认自己是“奥运宝贝”“蔡文姬”事件 图1:事件起因,狼友“reset”投稿苏州库洛米是常州黑车蔡文姬后,老师出来回应。 图2:自证B干净,拍照发频道,然后被狼友发现阴蒂上有白色颗粒(老师解释是白带) 图3:奥运宝贝与库洛米个人频道照对比图。 图4:老师解释是盗图,说对比鼻子,(大家看一下有没有区别) 图5+视频:狼友扒出蔡文姬,奥运宝贝,库洛米纹身对比。(老师解释,都鸡巴姐们,纹到一起了,那我还说啥) 图6:常州狼友询问能否拍胸部自证或者拍姐们合照,证明三人共同纹了一个图,老师找了4个小时,没找到。 问题来了: 如果真像库洛米所说,自己被奥运宝贝和蔡文姬盗图,那么给予上榜的桃花坞管理干什么吃的?上榜不看人照,用的假照,走个过场?另外洞洞寻找奥运宝宝报告时发现狼友“田伯光”的报告配图居然是已经被实锤中介组织“糯米”的约课记录。我有时候真不知道这些管理怎么审的报告。(图7) 最后硬…
❤1
Showing the 12 most recent of 14 posts we hold for @rrreeeset. 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.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“火鸡味锅巴” (@rrreeeset), 822 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/rrreeeset.
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.