风都是甜的哈哈哈哈哈 萧山区开课啦😃……
❤7

Channel
@zhenlexi27
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
13,555subscribers
+672 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001927807635 |
|---|---|
| Type | Channel |
| Username | @zhenlexi27 |
| Description | 个人兼职 双向 @Leixiaaiibot |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 56 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/zhenlexi27 |
Other / unclassifiable — 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 93% 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 |
|---|---|---|
| 5 Nov 2026, 06:10 | 13,555 | +12 |
| 4 Nov 2026, 04:41 | 13,543 | -12 |
| 3 Nov 2026, 03:11 | 13,555 | +6 |
| 2 Nov 2026, 04:56 | 13,549 | +7 |
| 1 Nov 2026, 04:58 | 13,542 | +4 |
| 31 Oct 2026, 06:41 | 13,538 | +14 |
| 30 Oct 2026, 04:40 | 13,524 | -3 |
| 29 Oct 2026, 03:05 | 13,527 | +6 |
| 27 Oct 2026, 23:46 | 13,521 | +3 |
| 26 Oct 2026, 21:16 | 13,518 | +7 |
| 25 Oct 2026, 23:38 | 13,511 | +15 |
| 25 Oct 2026, 01:27 | 13,496 | +15 |
| 23 Oct 2026, 22:15 | 13,481 | +16 |
| 22 Oct 2026, 20:44 | 13,465 | +22 |
| 21 Oct 2026, 15:39 | 13,443 | +11 |
| 20 Oct 2026, 09:07 | 13,432 | +20 |
| 19 Oct 2026, 08:06 | 13,412 | +15 |
| 18 Oct 2026, 05:08 | 13,397 | -15 |
| 17 Oct 2026, 04:36 | 13,412 | -2 |
| 16 Oct 2026, 02:51 | 13,414 | first reading |
40 posts held, back to 1 April 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 57 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 5 November 2026 |
|---|---|
| Posts held | 40 (1 April 2026 – 5 November 2026) |
| Views total | 38,050 |
| Reactions total | 39 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 08:01 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 4 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.
367 reactions across 33 posts, in 11 distinct kinds. The most used accounts for 81.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 299 | 81.5% | |
| 😍 | 29 | 7.90% | |
| 🔥 | 13 | 3.54% | |
| 💯 | 9 | 2.45% | |
| ❤🔥 | 7 | 1.91% | |
| 🤗 | 4 | 1.09% | |
| 🍌 | 2 | 0.545% | |
| 🌭 | 1 | 0.272% | |
| 👍 | 1 | 0.272% | |
| 😭 | 1 | 0.272% | |
| 🤩 | 1 | 0.272% |
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 35 of the 40 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 367 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 1 April 2026 to 5 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.
Telegram’s own ‘edited’ marker: 1 of 11 posts held from the last 30 days (9.09%) 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).
风都是甜的哈哈哈哈哈 萧山区开课啦😃……
❤7
上海艺术展览会报告模板 https://t.me/+nFnE0wANtSRkMjEx 【体验评分】:100分(各项满分,全项巅峰极致好评) 【人照几成】:10成(状态惊艳,神似迪丽热巴加范冰冰,御姐范直接拉满) 【验证留名】:@guanchajia_007 观察家 【验证时间】:11月3日 【妹子艺名】:#甄乐曦 【联系方式】:@zhenlexi 【上课水费】:1600p 【位置环境】:上海静安(魔都氛围加持,私密空间体验极佳) 【罩杯手感】:10分/完美满分(手感状态无可挑剔,双重享受) 【身材描述】:10分/完美满分(身材线条从头到脚无死角,视觉触觉双绝) 【服务类型】:御姐+明星颜值深度互动 【服务态度】:10分(温柔体贴,默契拉满,临别细心叮嘱加分) 【屌感紧度】:10分/极致紧度(技术细腻到位,配合默契,爽到飞起) 【个人总结】:兄弟们,这次跨城特意从杭州杀到上海静安找老熟人乐曦,绝对是近期最明智的决定,整体体验直接…
❤3
Channel name was changed to «💗 甄乐曦 萧山区 开课中 💗»
Channel name was changed to «💗 甄乐曦 徐汇区 开课中 💗»
狂欢十一月活动 活动1:盛情邀请 师生共同参与,榜单老师群中输入“邀请”获取每个人独有的邀请链接,11.1-11.30邀请人数超过166的免费轮播一个月。人人有奖! 群中狼友:群中输入“邀请”获取每个人独有的邀请链接,11.1-11.30邀请人数前三奖品口令红包288,188,88 活动2:白嫖活动 名师方圆 @fyuan_0 白嫖券(限单P)群中抽奖11.11出中奖名单(白嫖老师课费由爆破笑着买单,中奖后必须3天内出击并出具报告) 活动3:盲盒上架 众人期盼的4号盲盒11.11当天上架 活动4:名师聚集 11月各地名师陆续来杭,聚集爆破严选 活动5:发言活动 11月群众发言前3,红包 口令红包288,188 , 88(恶意水群直接取消参与资格) 爆破严选群组连接:https://t.me/niumazai_bot?start=i-UeZu8XMffpZiMzVh 爆破严选认证频道:https://t.me…
❤2
名师汇聚,学生进群审核制。
❤3
每月积分抽奖白嫖劵 每月🈵1200积分可兑换榜单五折优惠劵一张 上海集团狼友交流群组: https://t.me/+oWDB4Rqpdgk4NmQ1 上海集团老师公开榜: https://t.me/yeshanghai_6 ‼️📢投诉上榜建议: @bbca12
1号上海徐汇区短开几天哦😃……
❤8
是家人就关注一下魏来哥哥的频道 https://t.me/shibianrenjianyanhuo
❤2
半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】顶级的颜值,高挑的身材 【不足】暂无 【妹子花名】:甄乐曦 【联系方式】:@zhenlexi 【妹子年龄】:22 【验证留名】:善逸 【验证时间】:10月18日 【大概位置】:萧山区 【修车水费】:3200pp 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ③ 情绪价值 ✅ ✅ ✅ ④ 毒龙 【人照相似】:人照相似9分,高颜值,神似热巴和范冰冰 【身高身材】:身材高挑,皮肤嫩滑,大长腿 【凶器罩杯】:真胸大C 【湿度紧度】:温热紧实且水多 【环境细节】:房间整洁,门口方便停车 【个人卫生】:有一次性浴巾和漱口水,事前事后有清洗 【时间管理】:开课准时,排课轻松 【服务点评】:大蟒蛇,服务态度很好 【推荐程度】:✅ ✅ ✅ 差评 中评 中好评 好评 超级好评 ✅ ✅ ✅ 【流程小文】:本人比较喜欢高颜…
❤7🤗1
萧山区开课中
❤6
杭州颜值嫩妹报告 https://t.me/hzyanzhi 【综合评价】:‼️下面只留一个 #超级好评 【妹子花名】:#甄乐曦 【联系方式】:@zhenlexi 【妹子年龄】:20多 【验证留名】:伊之助 【验证时间】:9月11日 【大概位置】:萧山 【修车水费】:3200pp 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ③ 情绪价值 ✅ ✅ ✅ ④ 毒龙 【人照相似】:人照相似9分,颜值顶,神似热巴和范冰冰 【身材皮肤】:大腿长,有一点纹身,皮肤嫩滑 【凶器罩杯】:细枝硕果,天然真C,手感极佳 【湿度紧度】:温热而紧实,水量充足,周围毛量正常 【环境细节】:停车方便,房间整洁 【个人卫生】:不抽烟,有漱口水和一次性浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务总结】:服务到位,无少做,过程无机车 【流程小文】:时隔几个月后二刷乐曦老师了,自从上次相遇过后就…
❤8
Showing the 12 most recent of 40 posts we hold for @zhenlexi27. 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.
We recorded 6 posts on @zhenlexi27 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
Named by 6 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.
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.
@zhenlexi27 named 2 handles 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.
References a handle that is not a live channel — we have no record it ever was one.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“💗 甄乐曦 萧山区 开课中 💗” (@zhenlexi27), 13,555 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/zhenlexi27.
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.