👍位置: #大朗 🤩艺名: #晴儿 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #毒龙 #69 #舌吻 ✍️私聊: @qingqing_5688 ⌨️频道: https://t.me/qingqing_5680 ⚙️双向: @qingqing_5698bot 📞(东莞学生会)📞 ❤️(上榜联系) ✍️(写好评报告)
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Channel
@dgx088
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
21,836subscribers
+5,975 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002663986631 |
|---|---|
| Type | Channel |
| Username | @dgx088 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 October 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 26 October 2026 |
| On Telegram | t.me/dgx088 |
Adult — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Oct 2026, 04:39 | 21,836 | -11 |
| 25 Oct 2026, 02:28 | 21,847 | -13 |
| 23 Oct 2026, 23:00 | 21,860 | -140 |
| 22 Oct 2026, 21:27 | 22,000 | -93 |
| 21 Oct 2026, 20:51 | 22,093 | -764 |
| 20 Oct 2026, 18:00 | 22,857 | -170 |
| 19 Oct 2026, 17:56 | 23,027 | +32 |
| 18 Oct 2026, 14:29 | 22,995 | +3 |
| 17 Oct 2026, 11:06 | 22,992 | -32 |
| 16 Oct 2026, 13:35 | 23,024 | -217 |
| 15 Oct 2026, 11:50 | 23,241 | -151 |
| 14 Oct 2026, 10:27 | 23,392 | +5 |
| 12 Oct 2026, 23:29 | 23,387 | -197 |
| 8 Oct 2026, 14:19 | 23,584 | +631 |
| 4 Oct 2026, 05:41 | 22,953 | +1,007 |
| 25 Sept 2026, 13:39 | 21,946 | +1,104 |
| 19 Sept 2026, 04:55 | 20,842 | +156 |
| 16 Sept 2026, 22:00 | 20,686 | +377 |
| 15 Sept 2026, 01:58 | 20,309 | +276 |
| 13 Sept 2026, 11:38 | 20,033 | first reading |
228 posts held, back to 7 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 78 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. It is computed over the 22 of 74 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 October 2026 |
|---|---|
| Posts held | 228 (7 August 2026 – 21 October 2026) |
| Views total | 13,939 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Oct 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.
Measured directly from 134 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.
47 reactions across 37 posts, in 5 distinct kinds. The most used accounts for 74.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 35 | 74.5% | |
| 🥰 | 5 | 10.6% | |
| 👏 | 4 | 8.51% | |
| 🔥 | 2 | 4.26% | |
| 👍 | 1 | 2.13% |
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 43 of the 228 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 228 most recent posts we hold, published 7 August 2026 to 21 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.
👍位置: #大朗 🤩艺名: #晴儿 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #毒龙 #69 #舌吻 ✍️私聊: @qingqing_5688 ⌨️频道: https://t.me/qingqing_5680 ⚙️双向: @qingqing_5698bot 📞(东莞学生会)📞 ❤️(上榜联系) ✍️(写好评报告)
❤1👏1🥰1
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 👍位置: #南城 🤩艺名: #啵啵 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1100 💝特色: #SM #舌吻 #69 ✍️私聊: @nnnbbhhp ⌨️频道: https://t.me/mnbvcxz668 ⚙️双向: @nnnbbhhp_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
👍位置: #大朗 🤩艺名: #景瑶 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #嫩妹 #舌吻 #69 ✍️私聊: @jingyao732 ⌨️频道: https://t.me/jingyao864 ⚙️双向: @jingyao752bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
东莞认证公开榜🅢 pinned Deleted message
位置: #东城 艺名: #美美子(短期兼职) 年龄:21 身高:166 体重:107 胸围:36D 特点:纯天然气质台球宝贝,身材高挑火辣,年轻漂亮,后花园翘,大长腿,水多多,乖巧听话,配合度高一字马, 服务:可2可69 鸳鸯浴🛁、水中薰、事后薰,高跟鞋按摩,舔咪咪,吸蛋蛋,吸,推,指滑,漫游过水,制服丝袜诱惑,扮演角色。 600-p 1200-pp 1200不限次数(60分钟) 以上出水算一次 20分钟不换手打 禁禁禁:拔套,无套,桩机,嗑药,喝酒,后花园 私聊 @meimeizi5201 双向 @aa999999bot 频道https://t.me/qweasdsdf123
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位置: #大朗 艺名: #紫函 【体型】身高165 体重:43KG 🐻C罩杯 年龄20岁 【课程】跟哥哥一起洗澡,🉑口🉑🐍🉑69🉑配合各种动作,有丝袜,制服,cos服装👚,刚从出道,今年刚满的20岁,希望哥哥们不要太粗鲁 本人比照片好看,自带高档公寓,可外出外出两课起。 🈲桩机 🈲饮酒 🈲大🐦 🈲粗鲁男 🈲🈚️🍑 ➡️特色➡️BB很紧➡️BB会吸 💴【课费】💴 600p(45分钟带全套服务) 1200pp(90分钟带全套服务) 🚩每天只上6节课🚩 📱📱【用户名】:@zihan20261 机器人:@Textxihan2026_bot 频道:https://t.me/zihan2026
艺名: #心心 位置: #南城 (主打紧)兼职 学生短开3个月 年龄08身高172体重90胸围36c➕三点粉 服务内容:特色嫩妹一枚 清纯可爱 69 ,亲嘴,🈚️🍑吹,胸推,黑丝,白丝,渔网袜老汉推车,水中萧,高跟👠,制服诱惑等! 敏感体质,易高潮。任意姿势爱爱主动热情❤️🔥 情绪价值拉满,要求不过分都可以做,爱爱必须带套套哦,服务中出水算一次,配合度全全满足您! 700p(40分钟)1400pp(80分钟) 2500 2小时不限次数 3500 夜12点开始到6点 特色皮肤白,软🐻,容易高潮,配合度高,待客人如初恋,学生兼职。 🈲无套手抠后🌹园蔡醉酒蔡嗑药撞机 预定需要(口令红包定金) 尽量准备现金大数据时代安全你我他 电报联系 @XinXin888got 叮叮猫🤖@xinxin7788bot 资料https://t.me/xinxin080708
👍位置: #大朗 🤩艺名: #念念 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #性感 #舌吻 #69 ✍️私聊: @niannian5566 ⌨️频道: @niannian520521 ⚙️双向: @niannian888bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
地区:#东城 艺名:#小小苍井空 身高:162cm 年龄:22胸围:34D籍贯:重庆 激情项目 价格 600/1p 1200/2p kiss- 69- 陪浴互动-舔胸- 舔蛋蛋- 无套吹-强奸式 -一字马-你说勾人又骚的眼睛-前凸后翘-角色扮演 制服诱惑 一字马 艳舞挑逗 诱惑特点 时尚美艳 腰细臀翘全身雪白 粉胸粉穴东莞舞蹈老师兼职 一字马 解锁各种高难度姿势 雪白嫩模 舞蹈老师兼职 私聊 @Canjinkon1 双向 @Canglaoshi123bot 频道 https://t.me/shhtt520/20
👍位置: #松山湖 🤩艺名: #蓝泡泡 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #kiss #嫩妹 #69 ✍️私聊: @lpp83115411 ⌨️频道: https://t.me/lpp8311541 ⚙️双向: @lpp8311541_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
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👍位置: #长安 🤩艺名: #小七 - - - - - - - - - - - - - - - - - - - 🔠一节课400 🔠两节课700 💝特色: #黑丝 #嫩妹 #69 ✍️私聊: @nm123199 ⌨️频道: https://t.me/mm123199 ⚙️双向: 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
👍位置: #虎门 🤩艺名: #小涵 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #嫩妹 #性感 #黑丝 ✍️私聊: @xiaohan158 ⌨️频道: @xiqihanbb ⚙️双向: @xiaohanbaob_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
Showing the 12 most recent of 228 posts we hold for @dgx088. 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.
@dgx088 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
Named by 7 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.
@dgx088 named 5 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 26 October 2026 — this entry's latest reading, not the date you are reading this.
“东莞认证公开榜🅢” (@dgx088), 21,836 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/dgx088.
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.