Channel
@bingbing8789
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
411subscribers
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002670082606 |
|---|---|
| Type | Channel |
| Username | @bingbing8789 |
| Created | Between 1 March 2025 and 9 May 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 5 October 2026 |
| Last confirmed live | 5 October 2026 |
| Measurements held | 1 |
| On Telegram | t.me/bingbing8789 |
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Oct 2026, 01:22 | 411 | first reading |
20 posts held, back to 9 May 2025 — 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.
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 1 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 October 2026 |
|---|---|
| Posts held | 20 (9 May 2025 – 4 October 2026) |
| Views total | 3,193 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Oct 2026, 01:22 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 October 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.
22 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 86.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 86.4% | |
| 🥰 | 3 | 13.6% |
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 7 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 22 reactions 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 9 May 2025 to 4 October 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.
投稿人: 白昼 【日 期】：2026/10/03 【老师昵称】：#渔渔 【联系方式】：@bingbing87911 【发布频道】：肇庆云聚https://t.me/zhaoqingyunju03 【上课价位】：600P 【地 区】：端州城中 【颜值身材】：9 【人照相似度】：9 【服务内容及态度】：9 【推荐程度】：9 【体验细节】：等了好久我终于等到你，没来之前经常在群里口嗨，不过昨天鱼鱼还是挺累的，一大早起床给我发了视频，午饭都没吃，她说到了，我就马上出发了，因为她点了外卖，我就给她买杯奶茶解解渴吧，闲聊了挺久的，她说床有点硬，要等等床垫到才开始，铺床什么的，就开始洗澡，然后快速进入正题，洗澡的时候非常仔细的，洗到我立马硬邦邦的，我洗完了就去房间等她，我说空调好冷啊啊啊，她说等会就很热了，还会出汗呢！那我就知道要大战好几百回合了，她后面进门，防不胜防的一下亲了过来，估计很久没做了，也想了，我后面也…
报告投稿模板 投稿人: 大熊 【日 期】：2026/10/4 【老师昵称】：#渔渔 【联系方式】：@bingbing87911 【发布频道】：肇庆云聚https://t.me/zhaoqingyunju03 【上课价位】：600 【地 区】：端州城东 【颜值身材】：9.5 【人照相似度】：9.5 【服务内容及态度】：9.5 【推荐程度】：9.5 【体验细节】： 好久之前，，大概有二个月了吧，这条鱼就在群里水群了，特别爱聊天，还有点搞怪。就加上聊了一会， 时不时都有保持联系。一直说有空要过来，然后等啊等啊， 一天拖一天，各种事。。终于十月份。她来了，本来闭关不出，要忙的，但鱼不一样，，去了再休息吧 可惜，太招人喜欢了，让榜一大哥接走了。无缘第一个见面。次日睡醒。果断约上。有点远。没关系。。 大概开车半小时，来到楼下遥控上楼。 初见果然如照片一般可爱，穿着JK，但身高不矮有165左右，瘦瘦的。长腿。胸。不大，…
报告投稿模板 投稿人: JKL 【日 期】：2026/10/4 【老师昵称】：#渔渔 【联系方式】：@bingbing87911 【发布频道】：肇庆云聚https://t.me/zhaoqingyunju03 【上课价位】：600 【地 区】：端州城东 【颜值身材】：9 【人照相似度】：9 【服务内容及态度】：9 【推荐程度】：9 【体验细节】：近期上榜老师有点多，特意挑了一个比较喜欢的嫩妹，一问就有空，马上驱车前去，到了小区进出方便，不会有保安询问，并且小区比较小，很容易找到老师的“战房”，不过就是小区有点老了，住的都是老头老太，到楼层的时候刚好有一对老头老太在等电梯，我连忙先去楼梯避一避，不过这种小区的优点就是安全嘛，一进门我们就聊了起来，很自来熟，老师属于比较嫩，面相我也挺喜欢的，就是妆容有点不够精致，可能太小不太会吧，不过无伤大雅，年轻就算是素颜也好看，随之一起洗澡，洗完澡进房间开战，整体服务比较随意，但是嫩妹我从来不…
海里的小渔 pinned a photo
Photo, posted without a caption
海里的小渔 pinned Deleted message
jk美眉
❤1
今天开课欢迎预约
小渔慢慢游
明天肇庆见💦
Channel photo updated
Channel name was changed to «海里的小渔»
Showing the 12 most recent of 20 posts we hold for @bingbing8789. 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.
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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“海里的小渔” (@bingbing8789), 411 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/bingbing8789.
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.