👍位置: #大朗 🤩艺名: #烟烟 - - - - - - - - - - - - - - - - - - - 🔠一节课500 🔠两节课1000 💝特色: #嫩妹 #69 #舌吻 ✍️私聊: @feier423 ⌨️频道: https://t.me/xiaoyanyan823 ⚙️双向: @xiaoyanyan22bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
❤1🔥1🥰1

Channel
@dg555b
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
50,935subscribers
+1,844 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002337075326 |
|---|---|
| Type | Channel |
| Usernames | @dg555b @xshengh880 |
| Description | 大群 @Dgx07 Hello @Telegram My channel has not violated the rules and policy of using Telegram. Please pay attention. @rove |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 28 September 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 28 September 2026 |
| On Telegram | t.me/dg555b |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 |
|---|---|---|
| 28 Sept 2026, 08:00 | 50,935 | +98 |
| 26 Sept 2026, 13:39 | 50,837 | +280 |
| 19 Sept 2026, 12:20 | 50,557 | +92 |
| 17 Sept 2026, 22:38 | 50,465 | +70 |
| 17 Sept 2026, 01:58 | 50,395 | +73 |
| 15 Sept 2026, 21:59 | 50,322 | +54 |
| 15 Sept 2026, 04:39 | 50,268 | +108 |
| 14 Sept 2026, 07:19 | 50,160 | +26 |
| 13 Sept 2026, 13:56 | 50,134 | +33 |
| 12 Sept 2026, 13:19 | 50,101 | -15 |
| 11 Sept 2026, 17:40 | 50,116 | -41 |
| 10 Sept 2026, 13:59 | 50,157 | -26 |
| 9 Sept 2026, 07:00 | 50,183 | +90 |
| 7 Sept 2026, 09:58 | 50,093 | +42 |
| 5 Sept 2026, 22:20 | 50,051 | +81 |
| 4 Sept 2026, 16:39 | 49,970 | +29 |
| 3 Sept 2026, 22:41 | 49,941 | +72 |
| 2 Sept 2026, 23:23 | 49,869 | +18 |
| 2 Sept 2026, 11:11 | 49,851 | +14 |
| 1 Sept 2026, 19:34 | 49,837 | first reading |
342 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 109 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 176 of 193 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 342 (7 August 2026 – 29 September 2026) |
| Views total | 136,045 |
| Reactions total | 676 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 18:16 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.
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 200 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.
1,260 reactions across 317 posts, in 14 distinct kinds. The most used accounts for 35.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 449 | 35.6% | |
| 🔥 | 249 | 19.8% | |
| 👏 | 240 | 19.0% | |
| 🥰 | 237 | 18.8% | |
| 👍 | 49 | 3.89% | |
| 😁 | 22 | 1.75% | |
| ❤🔥 | 3 | 0.238% | |
| 🤔 | 3 | 0.238% | |
| 🎉 | 2 | 0.159% | |
| 🤩 | 2 | 0.159% | |
| 🍾 | 1 | 0.079% | |
| 👀 | 1 | 0.079% | |
| 💯 | 1 | 0.079% | |
| 😘 | 1 | 0.079% |
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 319 of the 342 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 1,260 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 342 most recent posts we hold, published 7 August 2026 to 29 September 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: #烟烟 - - - - - - - - - - - - - - - - - - - 🔠一节课500 🔠两节课1000 💝特色: #嫩妹 #69 #舌吻 ✍️私聊: @feier423 ⌨️频道: https://t.me/xiaoyanyan823 ⚙️双向: @xiaoyanyan22bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
❤1🔥1🥰1
👍位置: #厚街 🤩艺名: #昵宝 - - - - - - - - - - - - - - - - - - - 🔠一节课500 🔠两节课1000 💝特色: #毒龙 #舌吻 #69 ✍️私聊: @nibao88899 ⌨️频道: https://t.me/nibaoblove888999 ⚙️双向: @nnibao_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
❤2🔥1🥰1
👍位置: #大朗 🤩艺名: #初恩 - - - - - - - - - - - - - - - - - - - 🔠一节课500 🔠两节课1000 💝特色: #嫩妹 #舌吻 #69 ✍️私聊: @lalala1895 ⌨️频道: https://t.me/miemie37 ⚙️双向: @miemei189_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
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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
❤2🔥1🥰1
位置: #长安 新人开课 ❤️艺名: #米娅 ♥️年龄21 ❤️体重49kg ❤️身高168cm ❤️🧸围34C 🍼粉嫩.肤白貌美 温柔可人 年轻有活力 姿势多,敏感易出水 易高潮🍼 服务内容~ 💕无套吹 洗澡 水中萧 💕鸳鸯戏水 环游世界 💕爱爱姿势配合 波推 双飞有姐妹 💕制服 丝袜 高跟 黑丝诱惑 💕老汉推车,观音坐莲,花式调情 💕(蛇纹)因人而异 本人有洁癖 💕欢迎哥哥解锁各种姿势❤️ 课费,1000p🍵💰 1600pp🍵🍵💰💰 诚信开课,拒绝口嗨, 哥哥们出击尽量现金💰 谢谢哥哥的理解, 有固定课室,方便停车 🈲🈲🈲: 🈚️套 嗑药 后花园 开课时间中午1点-晚3点 私信:@changanmiya00 频道: https://t.me/changanmiya520 双向机器人:@miya52166_bot
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艺名: #锦沐 位置: #松山湖 25岁,身高166,体重98,🐻36D, 🌙本人兼职🌙活泼开朗🌙甜美可爱🌙期待哥哥解锁各种姿势 服务内容:情趣内衣,丝袜的诱惑🫦,鸳鸯戏水、无套口、69,水中萧,波推、环游过水、调情、观音坐莲、老汉推车、激情爱爱。 1P:400/30分钟没服务 1P:600/40分钟全套 2P:1100/80分钟 2个小时包时无限次1600 🌙夜课2600凌晨12:00到早上8:00🈷️夜课订金两章。外出车费100,先付,外出2P P! 自带高档公寓🌙进出方便🌙不用登记🌙好停 🌙大数据,请哥哥们备好现金! 🈲口嗨🈲无套🈲嗑药🈲后花园🈲皮肤病🈲 频道搜索词:松山湖/400P/69/大胸/包夜/外出/上门/包时/水中萧 私聊: @ccssccm 频道: https://t.me/ccssccm_888
👍位置: #南城 🤩艺名: #夏夏 - - - - - - - - - - - - - - - - - - - 🔠一节课400 🔠两节课800 💝特色: #舌吻 #毒龙 #69 ✍️私聊: @xiaxia98789 ⌨️频道: https://t.me/xiaxiaxiaowu1 ⚙️双向: @xiaxiajqmbot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
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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
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👍位置: #大朗 🤩艺名: #小甜心 - - - - - - - - - - - - - - - - - - - 🔠一节课400 🔠两节课600 💝特色: #69 #舌吻 #性感 ✍️私聊: @TTku6688 ⌨️频道: https://t.me/xingbaogeren ⚙️双向: https://t.me/Ttbb886bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
❤1👏1🔥1🥰1
👍位置: #南城 🤩艺名: #小仙女 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #黑丝 #69 #舌吻 ✍️私聊: @xn520142 ⌨️频道: https://t.me/xn8882 ⚙️双向: @xn8290bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
👏2🥰1😁1
👍位置: #大朗 🤩艺名: #梦梦 - - - - - - - - - - - - - - - - - - - 🔠一节课350 🔠两节课680 💝特色: #95 #调情 #抓龙筋 ✍️私聊: @changjiay ⌨️频道: https://t.me/fenger52 ⚙️双向: @mmsxjqr168bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
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👍位置: #大朗 🤩艺名: #点点 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #黑丝 #性感 #69 ✍️私聊: @ddiaian ⌨️频道: https://t.me/xwu9nimin ⚙️双向: @diannandbot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)
❤3👏2🥰1
Showing the 12 most recent of 342 posts we hold for @dg555b. 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 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.
@dg555b named 4 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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“东莞学生会公开榜🅢” (@dg555b), 50,935 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/dg555b.
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.