Channel
@youzi1234321
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
260subscribers
+37 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003420882040 |
|---|---|
| Type | Channel |
| Username | @youzi1234321 |
| Created | 5 January 2026 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/youzi1234321 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:24 | 260 | +36 |
| 7 Aug 2026, 13:47 | 224 | +1 |
| 7 Aug 2026, 03:03 | 223 | no change |
| 6 Aug 2026, 20:32 | 223 | first reading |
20 posts held, back to 5 January 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 pageof 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 2 August 2026 |
|---|---|
| Posts held | 20 (5 January 2026 – 2 August 2026) |
| Views total | 521 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:03 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.
20 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 80.0% | |
| 👏 | 2 | 10.0% | |
| 🥰 | 2 | 10.0% |
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 16 of the 20 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 5 January 2026 to 2 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.
【修车老师】：小九 【车行时间】：2026/8 【大课水费】：1600pp 【过程描述】： 最近一直在吃服务系，突然想换个口味了，这时在某群看到了小九老师，一下子就被照片吸引，真18岁嫩妹，想证明我柚子也不是只能吃服务系，所以很快约了小九的尾课。 老师的课室在一个大厦的酒店里，不过没有任何门禁或者门卫，很方便，在老师的遥控下，很快到了房间门口，此时，房间门打开了，一个穿着jk衣服的年轻小妹妹俏生生的探出头来，妹妹和照片不太一样，照片应该是处理了，但是除了脸以外，身材什么的和照片一模一样，胸很有料，目测有c左右，长相很有邻家小妹妹的感觉，而且不用化妆也很好看，不愧是18岁的年轻妹妹！妹妹招呼我在床边坐下，然后给我递了瓶水，开始叫哥哥，然后对我嘘寒问暖，寒暄了几句以后我爽快给了水费，开始脱衣服准备洗澡，妹妹也褪去了一身jk制服，露出年轻美好的胴体，全身上下嫩的能捏出水，胸是纯天然c胸，自然下垂但是不会觉得很难看，看着就很诱人，然后有…
🥰2
【修车老师】：利利 【车行时间】：2026/6 【大课水费】：1800pp 【过程描述】： 因为工作的缘故，只有周末才能回到上海，为了洗去自己沾染了一身的班味，所以决定探一探新上的ls，这时刷到了利利。 首先欣赏频道里的照片，带着鸭舌帽的照片特别戳我，很有活力的感觉，整体是御姐风，刚好最近比较喜欢御姐，遂立刻和老师约好课，聊天中老师也是比较活泼的那种类型 课室在一个很高档隐蔽的小区，在老师遥控下找到了对应楼层，开门以后，一个笑脸盈盈的小美女站在门后，招呼我进屋，让我换鞋，然后我也不知道怎么觉得有点拘谨，可能是 很久没有和女生或者说漂亮的女生说话了，利利也是一直在说，不用那么拘谨，就像是朋友之间的见面那样就好，落落大方，让人心生好感。 利利人照在8分左右，基本和频道里的照片区别只有美颜与否，在沙发上聊了一会儿，得知利利也是刚来上海上课，还有很多不懂的地方，也都向我请教了一些，全程主动聊天主动找话题，就像是一个活泼的小女友一样，算是…
❤2
【修车老师】：佳佳 【车行时间】：2026/6 【大课水费】：1900pp 【过程描述】： （敬请期待） 【联系老师】：@jjia000
【修车老师】：妮妮 【车行时间】：2026/6 【大课水费】：1200p 【过程描述】： （敬请期待） 【联系老师】：@ninibaby99
【修车老师】：林好好 【车行时间】：2026/3 【大课水费】：1000p 【过程描述】： （敬请期待） 【联系老师】：@Linhaohao520
【修车老师】：叶7 【车行时间】：2026/3 【大课水费】：1500p 【过程描述】： （敬请期待） 【联系老师】：@yeqi7777
👏2
（下篇） 1p结束后我们一起去清洗了一下，回来继续躺在床上依偎在一起，聊起了天，会跟她分享很多这个圈子里发生的事，也告诉她要注意安全，奶泡妹妹也是很好奇的问了我好多事情，我俩就像普通情侣一样聊得很开心。后面感觉来了开始了2p，2p我尝试了蛮多动作，奶泡也都一一配合，就是女上不太熟练，奶泡虚心向我请教该怎么发力，无奈本人经验也少不知道如何教只能期待以后有狼友能教会她，最后选择了最有感觉的后入光速出货结束。 事后，也是继续和妹妹聊了许久直到时间到，得知妹妹刚满18岁（真正意义上的），如此高颜值又充满青春活力，感觉应该是会小火一把。与她拥抱道别，约定下次再见。 愉快而又惊喜的一次cj。
【修车老师】：奶泡 【车行时间】：2026/4 【大课水费】：2000PP 【过程描述】： （上篇） 在岸上已有许久，本来以为不会遇到心动之人，直到在那天下午看到奶泡的照片，瞬间被她吸引，清纯的长相，甜美的笑容，可能这就是所谓美女吧，所以很快打了招呼约了课，刚好那天下午有空，顺利与佳人相约。 奶泡的课室在一个有一点偏僻的小区，不过算是毕竟幽静，人不多，很容易找到，经过一番指引顺利进门。门后奶泡突然俏生生地出现，对着我微笑的打招呼，那一刻我懂什么叫惊艳，奶泡几乎与照片一致，真人会比照片多出一份甜美和灵动，我本来对她超高的颜值已经有所准备了，但是还是被她惊艳到了，忍不住在内心感叹“她真好看(♡>𖥦<)/♥” 和她一起坐到了沙发上，聊了起来，得知妹妹刚开两天，比较不熟练，好多东西都不明白，也是教了她一些东西，寒暄了一会便开始脱衣服准备一起去洗澡，奶泡的胸有b+的样子，乳头小小的，皮肤特别白，大长腿，身材特别好，让人移不开目光，洗澡时会…
（下篇） 聊了一会我就打算去洗澡了，柚子之前已经洗过我就没喊她一起洗，洗完柚子主动拿浴巾过来帮我仔仔细细擦干净，然后我俩就一起到了卧室。 柚子的身材比例很棒，天然b胸也很挺拔，大长腿，身上也没有一丝多余的肉肉。我躺下后，柚子主动爬到我身上，送上香吻。柚子的吻技是我cj生涯里遇到过的no.1，虽然轻柔但是会让你感觉如沐春风，甜甜的，暖暖的，轻轻的，让人沉醉。不知道吻了多久，终于舍不得地分开，带起一丝晶莹的丝线。随后柚子开始进攻三点，最后开始舔起了弟弟和蛋蛋，此时躺着的柚子的弟弟也是一柱擎天，趴着的柚子还是卖力的服务着，画面也是让人想入翩翩。最后柚子温柔的戴上了小雨伞也是坐了上来，柚子的里面也很舒适，暖暖的并且水也很多，最后上下抽动一会儿后，我便提出要换姿势。先后换了趴在身上的cjs，我跪着发力的cjs，柚子也是特别配合，不管什么姿势都能很好的回应，最后我选择了让柚子平躺，我趴在身上后入的姿势，这个姿势的好处是会感觉下面特别紧，并且…
❤1
【修车老师】：柚子 【车行时间】：2026/2 【大课水费】：1000p 【过程描述】： （上篇） 千呼万唤始出来，这一天终于还是来了。 柚子cj柚子 早在柚子老师刚开课的那会，我就被无数ly各种cue各种推荐，“新上了一个柚子老师，柚子快去cj啊，想看柚子c柚子”，我也早就加入了购物车，但是碍于当时钟情于另一个ls一直没有去，这次她休息了，终于可以有机会去一探究竟了。 和柚子约课的时候，被发现我也叫柚子，觉得很有缘分，因此得此免了定金哈哈。 在一阵奔波后，我来到了柚子的课室小区，是一个老小区，应该是临时住在这里，后面也说会更换，在一阵遥控后，终于见到了自己的“分身”（笑 柚子穿着一身jk服，看到了我温柔的笑了笑，本来挺冷的我顿时暖和了，她也拉着我来到沙发上。柚子的长相很甜美，比她频道里甜美许多，而且颜值也高很多。我俩就自然的聊起天来，先是惊呼太巧了，都叫柚子，然后我说你比频道里漂亮很多了，你频道里的照片该换了，她说是吗，然后我…
❤2
（下篇） 浴室激情结束后，我俩也是擦洗干净，飞奔向了舒服的床，此时，宝宝也开始在衣柜里找寻今天要穿给我看的情趣内衣，最终找了一黑色连体衣，下面穿上了黑丝，我也看呆了直勾勾盯着，直夸性感。宝宝说今天你要不要试试不一样的，我说什么不一样的，她说你等着，在衣柜里拿出黑色胶带和小皮鞭，我懂了，这是要我来当一次M了。宝宝说她不习惯当S，但是今天为了我要试一下，毕竟我是M，今天要我当一次她的小白鼠，我肯定是欣然同意。宝宝开始用黑色胶带一圈圈缠住我的眼睛，还贴心问我会不会不舒服，在得知我不会不舒服的情况下才继续缠，最终我完全看不到了，此时我躺下，心里忐忑的开始期待接下来宝宝的调教。接下来，宝宝首先是跨坐在我身上，一边用小皮鞭抽我的奶头和鸡鸡，然后还站起来用高跟鞋开始踩我，期间也是骚话不断，问我被鞭笞的感觉如何，我也是在看不到的情况感受到生理和心理的双重刺激，爽的大叫起来，宝宝也是觉察到我已经硬的不行，帮我带好小雨伞坐了上去，我瞬间感到被包裹的…
【修车老师】：反差宝 【车行时间】：2026/1 【大课水费】：1700PP 【过程描述】： （上篇） 宝宝这次一下子休息了10天，可把我憋的不行了，每天都饥渴难耐等待宝宝回来开课，终于今天官宣强势回归，顺利约好了宝宝归来后的第一节课，必须 狠狠教育一下这个只顾自己玩耍却视焦急等待的ly于无物的坏女人。 走了一番熟悉的路线以后，来到了宝宝的课室，遥控进门，客厅里没开灯，远远听到卧室里传来一声可爱的娇嗔：宝宝你终于来啦，快来床上暖暖！听到这可爱又性感的声音，我因为她这么久没回来而产生的怨气顿时烟消云散，飞快换好脱鞋，飞奔向宝宝卧室，期间光速脱好衣服，看到床上那娇小的身姿，一瞬间觉得身心都满足了，跑到床上和宝宝抱在一起腻歪了起来。宝宝一边主动的吻着我一边开始跟我说起来她休息时候发生的趣事，我们俩就这样紧紧的抱在一起，享受这片刻的甜蜜。 良久，宝宝说我们去洗澡吧，我此时也变得异常激动，因为想到了后面的即将到来的激情。和宝宝来到浴室，宝…
❤1
Showing the 12 most recent of 20 posts we hold for @youzi1234321. 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.
Citation-graph rank — 815,926 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“柚子屋” (@youzi1234321), 260 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/youzi1234321.
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.