#甜甜 人挺不错的,提前预约了老师,遥控上楼,听老师说刚过来就毫不犹豫上车了,体验感不错,口的受不了,值得推荐 人照9分左右,可以出击 ⬇️点击查看老师信息 📍麦地 📢课后联系群主 @HZMD1_bot 可进👑内部群

Channel
惠州无忧作业报告反馈
@wyzybg
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
4,674subscribers
+959 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003409404184 |
|---|---|
| Type | Channel |
| Username | @wyzybg |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/wyzybg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 07:13 | 4,674 | +843 |
| 20 Aug 2026, 16:04 | 3,831 | +21 |
| 17 Aug 2026, 11:33 | 3,810 | +19 |
| 14 Aug 2026, 00:16 | 3,791 | +35 |
| 10 Aug 2026, 16:11 | 3,756 | +38 |
| 7 Aug 2026, 06:48 | 3,718 | +3 |
| 6 Aug 2026, 23:01 | 3,715 | first reading |
Engagement
11 posts held, back to 27 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 4 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.6%
- avg views ÷ 4,674 subscribers
- Avg views / post
- 778
- 9 posts measured
- Reaction rate
- 0.084%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 11 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 3 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 August 2026 |
|---|---|
| Posts held | 11 (27 July 2026 – 2 August 2026) |
| Views total | 6,998 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:17 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.
Reaction mix
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 3 of the 11 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 27 July 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.
Recent posts
#梦梦 人照8.5分,小腿很瘦,🐻c,个子娇小,老师人很好,态度非常好,连续口了四次,非常有耐心。到了楼下轻声细语教你上楼,然后开始洗澡🛀,口的很舒服! ⬇️点击查看老师信息 📍江北 📢课后联系群主 @HZMD1_bot 可进👑内部群
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5823733703
#曦曦 下雨无聊、二刷曦曦老师、还是那么的热情、 前戏服务很认真,全程无齿感,很爽就跟女朋友一样。 女友感满满,互动极其配合,推荐 ⬇️点击查看老师信息 📍江北 📢课后联系群主 @HZMD1_bot 可进👑内部群
❤2
#小灵 妹子本人比照片还好看,没想到惠州还有这么嫩的妹,全身白的发光,微微胖,不抽烟无异味,甚至感觉舌头都是甜的,就是没啥服务,不过嫩就够了 ⬇️点击查看老师信息 📍港惠 📢课后联系群主 @HZMD1_bot 可进👑内部群
#朵朵 抽中半价 等一个星期终于等到老师红休回来了,也是约上了,总算是没有白等,给我脱衣服,拉着我来洗澡,全身给细细擦了一遍最后再给我来个深喉水中萧,老师的口活简直是一绝,能明显感觉舌头在小头上面转,应该是会所出身的,太会亲了. 毒龙、👅全身超级爽、最后啪啪出水.老师的服务真的太顶了 ⬇️点击查看老师信息 📍麦地 📢课后联系群主 @HZMD1_bot 可进👑内部群
❤1
#仙儿 最近饥渴难耐,刷到了仙儿老师,本人喜欢少妇,很合我胃口,于是直接出击。老师很耐心,因为堵车迟到二十分钟老师也没有催,老师导航到地方,环境干净酒店式。一进门,老师的两个大雷就吸引住我了,白裙子肉腿太和我胃口了。进门老师陪洗澡,然后开始服务,口活好无齿感很舒服,两个大奶在你身上来回摩擦,酥酥麻麻,直接就有感觉了,提抢上阵,下面水很多,骚的我来回抽插之下交代了。事后老师也不催,跟你聊天,不冷场,值得二刷。 ⬇️点击查看老师信息 📍仲恺 📢课后联系群主 @HZMD1_bot 可进👑内部群
#朵朵 朋友介绍说服务非常顶,刚好看见老师开课,我就马上约了,没想到还是头课,我没有迟到的习惯,提前20分钟就在楼下等待。遥控上门后,先洗澡然后开始服务,奶子挺大的,很有分量,技术没得说,花式吹箫,毒龙,冰火两重天,各种服务让我欲仙欲死,各种姿势主动配合,今天出击非常满意,老师送我出门,下次还会再返! ⬇️点击查看老师信息 📍麦地 📢课后联系群主 @HZMD1_bot 可进👑内部群
#小野丽莎 进门看到老师,人照差不多,身材很好,很高,服务非常好,服务可以说是最顶的,情绪价值给到位,值得尝试 ⬇️点击查看老师信息 📍河南岸 📢课后联系群主 @HZMD1_bot 可进👑内部群
#安琪儿 本人比照片好看、很骚、身材很顶、风骚御姐、前突后翘、 进门就各种撩人、问你喜欢什么制服丝袜配高跟、床上服务、从头给你舔到小腿、毒龙更是很赞、就跟AV女痴一样、菊花顶到爽。 服务时间比、做爱时间都要长、出完水、老师给你鸡鸡口干净、给你按摩在去洗澡、这种只有电影里面有的环节、老师就能给你体验。 服务是真牛逼、强烈推荐、老师是我在梦里和电影里面的天花板。必须返 ⬇点击查看老师信息 📍#河南岸 📢课后联系群主 @HZMD1_bot 可进👑内部群
#温妮莎 作业反馈 颜值9.9成相似,本人比照片更具混血感,五官更深邃,身材s形,屁股有肉duangduang的,胸大概有个c ,主要老师还挺幽默挺能聊天,最重要的是老师会服务哦,舌头软软哦 ⬇️点击查看老师信息 📍港惠 📢课后联系群主 @HZMD1_bot 可进👑内部群
Showing the 11 most recent of 11 posts we hold for @wyzybg. 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
Citation-graph rank — 369,841 of 1,620,455entries 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.
Forward network
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.
Mentions
Named by 1 registered channel — 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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“惠州无忧作业报告反馈” (@wyzybg), 4,674 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/wyzybg.
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.