Voice message, posted without a caption

Channel
全国包养萝莉/处女/学妹(广告频道)
@yrzne1354
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13subscribers
-3,343 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003809773648 |
|---|---|
| Type | Channel |
| Username | @yrzne1354 |
| Created | Between 1 February 2026 and 30 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/yrzne1354 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 05:56 | 13 | -3,477 |
| 15 Aug 2026, 18:15 | 3,490 | +63 |
| 12 Aug 2026, 06:36 | 3,427 | +56 |
| 8 Aug 2026, 20:51 | 3,371 | +15 |
| 8 Aug 2026, 02:32 | 3,356 | first reading |
Engagement
14 posts held, back to 30 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 14 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 40s
- Average length
- 8s
Measured directly from 5 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.
Reaction mix
100 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 30.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎄 | 30 | 30.0% | |
| ❤ | 20 | 20.0% | |
| 🕊 | 18 | 18.0% | |
| 👍 | 11 | 11.0% | |
| 💩 | 9 | 9.00% | |
| ❤🔥 | 5 | 5.00% | |
| 🎃 | 3 | 3.00% | |
| 👎 | 1 | 1.00% | |
| 👏 | 1 | 1.00% | |
| 🔥 | 1 | 1.00% | |
| 😁 | 1 | 1.00% |
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 13 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 100 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 30 July 2026 to 7 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
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❤🔥1👍1🕊1
题图:野原念念 纵观3个多月的出击历史,草草200+钟次,综合体验最佳的素人: 1、触热南南,1.6个yoki 前三天去的,素人度95%,已退役 2、xxx藏,1.5个yoki 过段时间揭晓,我叫她小母狗 3、诺诺岛里里,1.2个yoki 测评 第一天去的,素人度98%,现役最强素人 4、美高美清竹,1.05个yoki 头钟,素人度98%,不过脑子不行,人品一般 5、野原念念 1.02个yoki 测评 头钟,素人度100% 6、诺诺岛yoki,1个yoki 第二天去的,素人度98%,已退役 7、美乐蒂安心,0.98个yoki 测评 头钟,素人度100% 8、诺诺岛兔兔,0.95个yoki 测评 头钟,素人度100% 9、四叶草蕾蕾,0.91个yoki 测评 前三天去的,素人度90% 10、春上千金,0.85个yoki 测评 头钟,素人度100% 都是纯素人,就是基本上没有干过类似行业的,这种纯素人的头钟或者前三天体验极好。当…
❤🔥3🎄2🕊1
现在走在路上,只有两类女的吸引我: 一类是气质人妻,类似这位spa技师 一类是青春女大,类似野原念念 玩女仆确实是快速祛魅。 刚开始玩的时候,漂亮就行,见一个喜欢一个,亲亲嘴摸摸胸牵牵手就满足的不行。要是再上点情绪价值,能上头好几天。 但是三个多月狂点200多钟,见了太多女的,基本上各种类型都见过了,吃到了各种套路,也遇到不少真诚。现在常规的,除非特别漂亮,不然激不起一点兴趣。必须要非常规。 怎么个非常规呢? 明骚的不行,看起来高冷,实则反差骚的。 明确是m的不行,都说没有属性或者甚至是s,到你这调教成m的。 情绪价值上来就很高的总感觉差点意思,要你自己去引导出情绪价值的。 尺度有情报显示明确很大的不行,要你自己去挑战开发出来的。 一摸就很敏感的不行,别人都说是死鱼,你一番操作后激发为活虾的。 别人都说好的不太行,别人都觉得一般般甚至觉得不好,到你这好得不行的。 其实归根结底就是一点:给我不给他。 我拥有独一无二的体…
🎄5❤1❤🔥1🕊1
拿到确切情报之后再去点女仆,能拿到情报的尺度,意料之中,万一拿不到,心态爆炸。而且会出现运气不好,等你去了收尺度的问题。 并且有确切大尺度情报放出来的女仆,一般不会很顶。很顶的大部分都被私藏了。 去没有情报的颜值标大,挑自己喜欢的颜值、身材、形象风格去,拿不到额外的尺度,意料之中,但也不亏,毕竟是自己喜欢的,要是幸运拿到了,体验直接起飞 很多人不鼓励对尺度,我倒是觉得完全可以对尺度,前提是心态要摆平:尺度比别人大,没必要骄傲,复盘成功经验,形成技术体系的方法论指导下一次出击;尺度比别人小,没必要失望,分析原因,针对性改善,改善的方向无非就是外在形象、聊天方式、技术体系这些,对于下一次出击甚至对于日常生活都有帮助,怎么都不亏。但是不能说对了尺度去背刺相信你跟你对尺度的玩家,这就纯畜生了 。
🎄5👍5
Voice message, posted without a caption
🕊2🎄1
复刷榜优选女仆推荐 题图为野原小鱼 养只小猫 Annie 10钟+ 校园女神,精神共鸣,女友感,女大兼职,日常满姐 (lili) 野原 小鱼 10钟 可爱小萌妹,大蟒蛇,反差舌钉妹,近期刚回归单子不多可抄底 (ranzai) jojo 萌萌 6钟 反差甜妹,有纹身,恋爱感很足,尺度在线 (Master Xu) Kitty 晶晶 5钟 可爱少萝,肤白嫩滑无纹身,电量满满女友感十足。 (听泉子) 星茶荟 倩倩 4钟 高颜可爱甜妹,恋爱感足,尺度在线,但有点洁癖 (Derek Liu) labubu 妍妍 3钟 综合颜值气质高,尺度拉满敬业 (厉飞雨) 小狗诱饵 布丁 3钟 抽象萌妹子,硬件不算突出,主动性拉满,擅长攻防,她的钟好玩的一笔 (站长) 遇见少女屋 冰冰 1钟 黑社会大姐大,极致反差高颜,服务拉满 (吹雪)
🕊2👍1🔥1
#野原 #念念 🕊️8月最强素人预定 众所周知rz喜欢素人,自从里里之后,一直没找到钟意的素人。今天给我遇到了。基本锁定8月最强素人了。回顾整个200+钟次的出击历史,素人里面,仅次于南南、里里、yoki,排第四。 颜值是邻家软妹风格,亭亭玉立,楚楚可怜,身材前凸后翘,皮肤嫩滑白皙,没有纹身。屁股很翘,很有手感,是个小m,喜欢被轻轻拍打屁股。隔裤撞击大骚屁股,标大隔裤直接拉满。 非常敏感,并且乐于享受敏感天赋带来的快感。乖乖巧巧配合度高,愿意倾听和学习。情绪价值不属于那种上来就给很高的,但是随着你的情绪激发和你们的情感交互,会有款款流水般情绪注入,后劲很足。这是我苦苦找寻却寻而不得的颜值标大! 纯素人,素的不能再素了。大学休学,在南京干过半年酒店前台,最近才来的杭州 完全没接触过类似领域。恋爱感拉满了。她温柔地跟我说:我们才认识第一天,你有点冒昧了。 综合评分:54 评分及排名详见→ https://t.me/yrzne…
❤4🎄2👍1🕊1
夏日女仆优选榜单 小狗 小意 服务态度好,很会亲,洗澡流好妹妹 (哈哈哈:女大素人爱好者) 诺诺岛 兔兔 瘦高,有气质 (Derek Liu:树洞试钟员) 颜值高,情绪价值高,有恋爱感 (ranzai) 野原 乐乐 大蟒蛇,敏感体质,白幼瘦圣体 (地下女仆:树洞官方频道主) 星茶荟 小水 敏感活虾,水润多汁,笑靥如花,骚纯一体 (齐静春:望闻问切老中医) 怦然心动 西西 高颜,舞蹈生,身材好,大蟒蛇 配合度高 (lili:事件营销之王) 韩系御姐风,高挑舞蹈生,不抽烟无纹身,温柔大蟒蛇 (荔枝小番茄:沪上少爷) 悠觅 妮妮 顶级服务,口技惊人,谁去谁知道 (厉飞雨:建模哥) 妮妮确实好 妮妮和咩咩差不多我觉得 妮妮咩咩都打卡滨江就没剩下好菜了 (地下女仆) 不晚 恩恩 女大,敏感度很高 (xnnxnx:资深玩法选手) 悠觅 小水 情绪价值极高 颜值也高 (小红:御姐收割机)
❤6🎄3🕊1
【妹子花名】:小小 【个人标签】:#敏感 #绝顶温柔 #温软可人 #情绪价值 #恋爱感 #高配合 【所属店铺】:四叶草 【验证留名】:#ranzai鸽 https://t.me/yrzne1354 【验证时间】:2026.07 【大概位置】:外派 【课程费用】:1000/2h外派活动价 【基础服务】:超大+ 【人照相似】:人照度90%,本人御姐软妹 【身高身材】:166,83,B 【服务特色】:潮吹 【环境细节】:城际酒店yyds 【推荐程度】:9.712 评分及排名详见→ https://t.me/yrzne1354/188 【缺点提醒】:超大尺度内拉满,尺度外各凭本事咯~ 【彩蛋1】尿失禁了哈哈哈 【彩蛋2】华住会酒店查得严,TMD进酒店大费周折,有点偷情的感觉哈哈哈 #八维度评分 评分规则→ https://t.me/yrzne1354/254 ①【颜值】:8.5 ②【身材】:9 ③【敏感度】:9 ④【主动性】:9.5 …
🕊3❤2🎄1
今天有群友跟我说,诺诺岛里里和抖音网红失眠熊很像,我一看,诶嘿,你别说还真挺像! 但凡事要讲科学依据,于是我构建了一个“多因子协方差与异质性离散度补偿模型(MCHDC)”,用于度量这二人的统计相似度。 结论是:里里与失眠熊的相似度高达77.43% 计算过程如下: 第一步:基础分析 找到最贴合本人颜值和形象的清晰照片,投喂给大模型,要求大模型从底层五官、基础骨架与体态、神态与气质内核三个方面分析二人的相似度。 为了结果的专业性,我们分别投喂给千问、DeepSeek、豆包、文心、kimi、元宝、讯飞星火、智谱清言、天工、chatgpt等大模型生成结果后,去掉最大值最小值取均值。 大模型得出的结果是: 颜值(骨相与比例):R_1 = 0.75(共用了相近的幼态骨骼模型,但存在细微差异) 身材(基础骨架与体态):R_2 = 0.945(骨架窄小相近,身高体重形体高度相似) 气质(神态与气质内核):R_3 = 0.83(气质接近…
👍2💩2🕊2❤1🎃1👏1
#童话镇 #小静 这嫩妹顶级,太喜欢这款了,颜值、身材、形象风格都是我喜欢的类型,配合度很高,很听话,素人感很强,虽然情绪价值一般,但是综合历史最佳。这是我出测评最快的一次。只想分享,没有藏的欲望。 人照度100% 8月最强预定 综合评分:客观9.355,主观107,主观历史最佳 评分及排名详见→ #八维度评分 评分规则→ ①【颜值】:8.5,主观10 ②【身材】:8,主观9.5 ③【敏感度】:9 ④【主动性】:8 ⑤【情绪价值】:8 ⑥【配合度】:10 ⑦【尺度】:9,主观10 ⑧【素人度】:8.5,主观10
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Showing the 12 most recent of 14 posts we hold for @yrzne1354. 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 4 registered channels — 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“全国包养萝莉/处女/学妹(广告频道)” (@yrzne1354), 13 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/yrzne1354.
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.