🤫【地区】:#布吉 😓【昵称】:#开心果 🤫【私信】:@kxg336699 🤫【双向】:@kxg336699_bot 🫤【课费】:#环保 #92 #95 🫢【课表】: #花式调情 #毒龙 #全身漫游 🤥👉点此提交报告🖥 🥵🤫🤫😳🤫🤫😑 出击请认准上榜推广老师🤫 交流群: @hz1916

Channel
深圳高牌红中约炮榜
@xog888
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,365subscribers
-961 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 | -1001572680389 |
|---|---|
| Type | Channel |
| Username | @xog888 |
| Description | 红中秉承公平 公正 公开原则 上榜/投诉/建议: @hz4567或@Gphzzsbot 红中交流群: @hz1916 已验证老师榜: @xog888 红中福利院: @eibmi 红中报告榜: @ice1000 备用中转 : @iewzi 一键关注高牌红中: https://t.me/addlist/lESWGk12NkhmZDFh 全球自动搜索🔍极搜 @jisosz |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/xog888 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 20:37 | 9,365 | -542 |
| 8 Aug 2026, 18:50 | 9,907 | -321 |
| 7 Aug 2026, 19:41 | 10,228 | -98 |
| 6 Aug 2026, 20:05 | 10,326 | first reading |
Engagement
37 posts held, back to 6 August 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 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.905%
- avg views ÷ 9,365 subscribers
- Avg views / post
- 84.8
- 37 posts measured
- Reaction rate
- 1.14%
- reactions ÷ views · ER floor
- Posts in window
- 37
- of 37 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 4 of 37 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 37 (6 August 2026 – 12 August 2026) |
| Views total | 3,136 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 15:16 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.
What this channel posts
- Photos
- 763
- Videos
- 72
- Links
- 178
Lifetime counters from Telegram’s own channel header, read 12 August 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.
- Video runtime
- 54s
- Average length
- 9s
Measured directly from 6 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
4 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 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 4 of the 37 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 6 August 2026 to 12 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
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178618389282 🎰 南山小玲半价福利! ⚠️ 抽奖说明: ❶ 刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等行为,均视为无效发言,直接取消中奖资格。请大家用心、真诚交流! ❷ 中奖后请24小时内联系老师,并在3天内完成报告 @ice1000 提交。因炸号、退群、注销账号等个人原因导致超时未兑换的,不予兑奖。 💁 参与情况:11达标 / 20报名 🎅 联系领奖:@xiaoling041 1. 超级 皮卡丘 奖品:P半价 祝大家心想事成好运连连!
🤫【地区】:#福田 😓【艺名】:#沐惋 🤫【私信】:@fei02Z 🤫【双向】:@wanghefeiqazbot 🫤【课费】:980p/1600pp 🫢【课表】: #调情 #舌吻 #角色扮演 🤥👉点此提交报告为老师助力🖥 🥵🤫🤫😳🤫🤫😑 出击请认准上榜推广老师🤫 交流群: @hz1916
❤1
🤫【地区】:#龙华 😓【昵称】:#多莉亚 🤫【私信】:@duoliya89 🤫【双向】:@duoliya8_bot 🫤【课费】:800p/1500pp 🫢【标签】:#舌吻 #鸳鸯浴 #无套口 #深喉 #丝袜 #冰火两重天 🤥👉点此提交报告🖥 🥵🤫🤫😳🤫🤫😑 出击请认准上榜推广老师🤫 交流群:@hz1916
🎰 龙岗坂田嫩妹瑤瑤酱半价 📮 参与条件: 🌏️ 归属地 广东 🪪 必须设置用户名 🎫 加入-深圳高牌红中抽奖福利 🎫 加入-瑶瑶兼职 💋后花园💋 🎫 加入-深圳高牌红中交流群 └ 🎟️ 发言数大于 18 条 🎫 加入-深圳高牌红中约炮榜 🎁 奖品内容: 💰️ P半价 × 1 ⚠️ 抽奖说明: ❶ 刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等行为,均视为无效发言,直接取消中奖资格。请大家用心、真诚交流! ❷ 中奖后请24小时内联系老师,并在3天内完成报告向 @ice1000 提交。因炸号、退群、注销账号等个人原因导致超时未兑换的,不予兑奖。 📅 开奖日期:(北京时间) 2026年08月13日 16时41分00秒
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Showing the 12 most recent of 37 posts we hold for @xog888. 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 — 122,166 of 1,160,990entries 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.
Mentions
Named by 14 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.
@szgph · 1,20912 postsLotteryBest抽奖导航
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@gzgzv666 · 4042 posts琳琳的朋友圈
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@zhangbaizhi11 · 1,2402 posts光明香香朋友圈
@hbsnsms66 · 4751 post深圳龙岗布吉专业环保 开心果
@kxg99999 · 1,2611 post萌萌的🏠
@mengmeng908 · 4001 post07嫩妹小萍三点粉的㊙️㊙️屋💕
@ping77899 · 1711 post小辣椒的秘密家园
@xiaoljdmmxw · 531 post
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳高牌红中约炮榜” (@xog888), 9,365 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/xog888.
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.