报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:小岁 【留名】:大雄 【评价】:👍 好评 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:其实昨天就约好了小岁老师,但是由于老师发烧了,就没有约上,就约了今天的头课,绝对的宝藏老师,各方面都是极品的。到达地方后遥控上楼,地方也很好找,上楼之后开门就看到老师穿着情趣内衣在门口等着,进门就大饱眼福,直接就是忍不住上手摸胸,绝对的纯天然,胸部大概有个b吧,一只手正好握住。聊了一会之后洗澡上床,首先开始舌吻,老师非常的配合,舌吻管饱。然后就是一路往下,开始舔胸,奶头粉粉的很可爱,一边舔胸一边摸着下边非常的舒服。在开始舔逼之前还是先观察,粉粉嫩嫩的小蝴蝶户型,闻起来一点味道都没有,干净无异味,舔起来有点咸咸的,一边舔一边揉老师的阴蒂,舔了一会之后让老师尝试69,老师在上边卖力的口了起来,没有丝毫齿感,我…

Channel
郑州烩面馆出击榜
@zzyx33
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,652subscribers
+3,050 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002636546836 |
|---|---|
| Type | Channel |
| Username | @zzyx33 |
| Description | 群组 @zzyx1 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/zzyx33 |
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 12 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 09:10 | 8,652 | +78 |
| 8 Nov 2026, 11:16 | 8,574 | +50 |
| 4 Nov 2026, 20:47 | 8,524 | +103 |
| 1 Nov 2026, 11:16 | 8,421 | +109 |
| 29 Oct 2026, 10:06 | 8,312 | +81 |
| 26 Oct 2026, 16:46 | 8,231 | +114 |
| 23 Oct 2026, 14:19 | 8,117 | +118 |
| 20 Oct 2026, 17:39 | 7,999 | +157 |
| 17 Oct 2026, 19:48 | 7,842 | +119 |
| 15 Oct 2026, 00:15 | 7,723 | +146 |
| 11 Oct 2026, 14:40 | 7,577 | +218 |
| 5 Oct 2026, 03:21 | 7,359 | +301 |
| 26 Sept 2026, 17:38 | 7,058 | +327 |
| 17 Sept 2026, 08:19 | 6,731 | +147 |
| 13 Sept 2026, 02:21 | 6,584 | +59 |
| 9 Sept 2026, 09:18 | 6,525 | +162 |
| 3 Sept 2026, 15:01 | 6,363 | +100 |
| 31 Aug 2026, 03:36 | 6,263 | +88 |
| 27 Aug 2026, 19:44 | 6,175 | +108 |
| 24 Aug 2026, 21:04 | 6,067 | first reading |
Engagement
307 posts held, back to 5 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 27 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.86%
- avg views ÷ 8,652 subscribers
- Avg views / post
- 247
- 249 posts measured
- Reaction rate
- 0.276%
- reactions ÷ views · ER floor
- Posts in window
- 249
- of 307 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 53 of 249 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 307 (5 August 2026 – 13 November 2026) |
| Views total | 61,571 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 13:27 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
- Links
- ≈3,500
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
48 reactions across 40 posts, in 5 distinct kinds. The most used accounts for 85.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 41 | 85.4% | |
| 👍 | 4 | 8.33% | |
| 🌚 | 1 | 2.08% | |
| 👎 | 1 | 2.08% | |
| 🤔 | 1 | 2.08% |
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 64 of the 307 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 48 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 307 most recent posts we hold, published 5 August 2026 to 13 November 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
Telegram’s own ‘edited’ marker: 0 of 249 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).
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:暖阳 【留名】:wu li 【评价】:👍 好评 【人照】:8 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【过程】:上次来出差约暖阳老师她红修了,这次提前一天发1️⃣洣定金定两个小时的,如约见到老师一袭旗袍长发飘飘,更显身材婀娜多姿 服务一流的好,有很多独创秘籍,人家的独创偏方这里不便阐述。能治愈对小雨伞过敏,对92.95过多者也适用 暖阳老师现在还有活动就是三次正价8米/p后,以后再来就是固价6洣/p,两个小时不限次13洣,饿了还有饭,各种零食,水果,这服务真是给力
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:暖阳 【留名】:匿名 【评价】:👍 好评 【人照】:10 【颜值】:9.5 【身材】:9.5 【服务】:10 【态度】:10 【环境】:9 【综合】:9.67 【过程】:刷到暖阳老师服务系,时间也长,包时两个小时价格也很友好,老师是早睡早起,早九点开课,觉得上午安静老师精力和时间都比较宽裕就约个九点半头课 硬件:暖阳老师身材好,尤其是皮肤光滑手感很好,🐻形很漂亮,刚好今天来暖气了老师还问我要不要感受水床,我觉得还是床上感觉最好就简单一起洗了下进入老师温馨的卧室 床上的一些细节前面体验过的狼友都写过了,按摩,指滑,水磨,胸揉,毒龙等都有,选的是两个小时,由于时间多老师还给艾草泡泡脚,采耳,头部按摩,两个小时干累了还有午饭吃,真是一个放松的好地方 总结:服务时长超长拉满,不催不急细致周到,按摩手法好适合肩颈腰长期劳损的我,毒龙和瑜伽独创口技是一绝,papa姿势多,下面会…
❤1
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:烟花 【留名】:拨乱反正 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:8.5 【态度】:9 【环境】:9 【综合】:8.92 【过程】:一直看到过她,但一直没上过课,今天终于约上了。的确是个年轻姑娘,人照很相似了,很瘦,很苗条。做的时候也很配合,中间换了一些姿势也都很配合,赞!
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:小婉 【留名】:扶摇直上九万里 【评价】:👍 好评 【人照】:10 【颜值】:9 【身材】:9 【服务】:8 【态度】:9 【环境】:9 【综合】:9 【过程】:存了几个月的金币,终于派上了用场,拍到白嫖之后,第二天就约了小婉妹妹的课,按照老师给的指示,准时到达,开门进来看到老师人照一致,是真的嫩啊,然后提出和老师一起沐浴,老师的胸部应该是还没发育完全,乳头很小,沐浴结束,来到床上先把玩一下嫩妹,和婉婉开始了舌吻,小婉属于那种不是主动类型,但是被动相迎很配合,舌吻管饱,舌吻之后又进行了69探索,来到老师秘密花园处,旁边长满了杂草,但不算多,看到一只粉色大蝴蝶老师,我一口就叼住了,开始品尝口,老师也不甘示弱,卖力的吞出着我的如意金箍棒,双方交战后,不分胜负,提棒上阵,交战数回合,最终败下阵来,打扫战场完战场,出门回去继续工作。
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:艾米 【留名】:匿名 【评价】:👍 好评 【人照】:10 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.83 【过程】:一次完美的出击!!!! 老师南方人,皮肤光滑,胸很挺大概有c,身高1米6几,长相也属于老师中比较好的了 找了一周的老师,最终看到榜单上艾米服务系老师带98真的没的说 老师引导上楼,先开始洗澡冲了一下,然后坐床边亲胸抹胸最后亲弟弟,搞完转战床上,我拒绝了b面直接正面开始服务,一系列花活,课表上都有不愧是服务系老师搞得我纯纯欲动尤其是胸滑,老师的双峰在我身上游龙,感觉很不错,最后忍不住了提枪开干,先是女上老师很紧摇了一会,开始我的专场传教到底,趴在老师上用力抽查,老师真的很润水很多最后顺利出水,然后老师让我摸了一下bb好多水😂出水后老师又怕我身上歇了一会 最后老师给我放水,然后再水热之前有抱着亲热了一下,洗…
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:郑州玉指天娇94半套 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:11.12从下午5点一直在找老师 欲火焚身想出击 接连去了3家 2家个人 1家丝足 人照差距不想多说了 实在太他妈差劲 丝足体验了15分钟 退款了 没有服务 一点不得劲 奔波旅程 身心俱疲了 落脚吃口饭 随后联系软软 想尝试新鲜血液 找不到 还是找老客服靠谱 去频道看了一下 发现二七来了新老师 很年轻很嫩 照片很漂亮 咨询了一下软软 火速让软软备注 时间一丝不苟 服务尺度拉满 经软软推荐 果断预约 准备出击一探究竟 看看新老师 抱着期待的心情 我火速吃完饭 赶往地点 遥控上楼 站在门口的那一刻 我有种年轻时期等待约会的女孩降临的那种青涩感 直到开门那一刻 我知道了 这一切的等待都值得了 老…
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:郑州玉指天娇94半套 【留名】:猫猫 【评价】:👍 好评 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:来找过玉指天骄软软好几次了,每次安排的都非常给力,尤其店里的26号老师永远的神,不远万里也要从山西跑到郑州来找她
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:安迪 【留名】:葡萄冰萃咖 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:今天跟朋友闲来无事,相约郑州玩耍,晚上回来寂寞难耐,群里开始选妃,选了半天没有太合眼缘的,看到安迪评价很好,是服务型老师,兄弟还没体验过,正好看到安迪开课,联系上,我还害怕2个人安迪不接,结果安迪很痛快的说没问题,然后就是进小区,挺私密的,人来人往很多,安全性可以,然后安迪遥控进小区,上楼,本人跟照片差不多,下来走流程,据朋友反馈,莞式服务,很顶级,该有的都有,很有耐心,省略过程,123结束,神清气爽,下楼我朋友上去,下楼一边抽烟一边回味,等我朋友下来已经很晚了,快2点了,一点也没有因为太晚了而降低服务质量,下次还会二刷的,安迪牛B!
❤1
报告来源:郑州烩面馆 【时间】:2026-11-07 【老师】:丫丫 【留名】:匿名 【评价】:👍 好评 【人照】:8.5 【颜值】:8.5 【身材】:8.5 【服务】:10 【态度】:9 【环境】:9 【综合】:8.92 【过程】:十点多临时决定去cj,找到了还没下班的丫丫,开车冒雨出发。 小区开课,见面热情,没有陪浴但是有抖音小舞代替。然后开始服务,好家伙服务天花板名不虚传,除了耳熟能详的各种必备项目,光毒龙三种,b面有个口吸拔罐(我也忘了叫啥了,暂且叫这个吧)舒服的不行,放松身心,服务完,最后123出货。 总结服务天花板,全程热情不尬聊,不旺冒雨出击。
报告来源:郑州烩面馆 【时间】:2026-11-12 【老师】:优乐美 【留名】:边佑锡 【评价】:👍 好评 【人照】:7 【颜值】:9 【身材】:9 【服务】:9.5 【态度】:9 【环境】:9 【综合】:8.75 【过程】:这几天在西边办事情,于是关注了下西边的中原的老师,看到小美的频道好评还挺多于是约好了一探究竟。抵达后一开始还以为我走错了,因为照片和人不像,但是又看了看本人也很不错,于是开始交水费准备开始。小美服务很好,属于年轻的服务系,老师一边给我吃一边说着骚话,很是刺激。本次还拍摄了纪念视频,后入的视角很不错,屁股的冲击力很大,我站在床边,让小美跪趴在床上,抓着大屁股狠狠冲刺了几十下出水了。整体还不错,在西郊的兄弟可以关注下~
报告来源:郑州烩面馆 【时间】:2026-11-13 【老师】:朵朵 【留名】:擎 天 【评价】:👍 好评 【人照】:10 【颜值】:10 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9.33 【过程】:闲着没事就想上课,结果开到了隐藏款,万万没想到老师本人和照片差距很小,有点像张碧晨,颜值绝对是没毛病。 进门简单洗洗,床上一躺开始享受老师的👅,从🐻到下面全部照顾到,迫不及待开始正题,先是老师上一边做一边聊天气氛很融洽,再是我主导又是大战八百回合🫣成功交作业 服务态度好,老师技术也不错,下次必二刷👍👍👍
❤2
Showing the 12 most recent of 307 posts we hold for @zzyx33. 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.
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@doudou11220 · 1571 post可儿的秘密基地
@keer_188 · 5731 post幂幂的朋友圈
@mimi8896ppp · 81 post沫雨欣的频道
@moyinxin4535 · 1,4771 post糯糯的朋友圈
@nounou005927 · 2191 post七七的频道
@qiqi_n88 · 1,4721 post郑州➕晴晴 御姐翘臀🍑尤物
@qqzdaaa · 8431 post小七的家
@xiaoqi131488 · 781 post🍭香奈儿🌸花园(人照不符赔路费)
@xiaoyuhushi · 1,6121 post小妮子的个人频道
@xionizi26643 · 2,1981 post辰晨相册报告
@zzccls06 · 3501 post月希相册
@zzyuex · 5191 post
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
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“郑州烩面馆出击榜” (@zzyx33), 8,652 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/zzyx33.
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.