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Channel

东莞学生会公开榜🅢

@dg555b

2 usernames

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

50,051subscribers

+960 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002337075326
TypeChannel
Usernames@dg555b @xshengh880
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 September 2026
Measurements held48
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/dg555b

Growth

49,07450,05149,562.57 August 2026 — 49,091 subscribers8 August 2026 — 49,090 subscribers9 August 2026 — 49,094 subscribers10 August 2026 — 49,092 subscribers11 August 2026 — 49,089 subscribers12 August 2026 — 49,096 subscribers13 August 2026 — 49,074 subscribers13 August 2026 — 49,086 subscribers14 August 2026 — 49,107 subscribers14 August 2026 — 49,123 subscribers15 August 2026 — 49,191 subscribers15 August 2026 — 49,193 subscribers17 August 2026 — 49,221 subscribers17 August 2026 — 49,224 subscribers18 August 2026 — 49,227 subscribers18 August 2026 — 49,223 subscribers19 August 2026 — 49,230 subscribers19 August 2026 — 49,244 subscribers20 August 2026 — 49,255 subscribers20 August 2026 — 49,266 subscribers21 August 2026 — 49,267 subscribers21 August 2026 — 49,292 subscribers22 August 2026 — 49,339 subscribers22 August 2026 — 49,327 subscribers24 August 2026 — 49,331 subscribers24 August 2026 — 49,351 subscribers25 August 2026 — 49,370 subscribers25 August 2026 — 49,378 subscribers26 August 2026 — 49,405 subscribers26 August 2026 — 49,427 subscribers27 August 2026 — 49,470 subscribers27 August 2026 — 49,514 subscribers28 August 2026 — 49,544 subscribers28 August 2026 — 49,575 subscribers28 August 2026 — 49,632 subscribers29 August 2026 — 49,662 subscribers29 August 2026 — 49,666 subscribers30 August 2026 — 49,700 subscribers30 August 2026 — 49,739 subscribers31 August 2026 — 49,754 subscribers31 August 2026 — 49,772 subscribers1 September 2026 — 49,786 subscribers1 September 2026 — 49,837 subscribers2 September 2026 — 49,851 subscribers2 September 2026 — 49,869 subscribers3 September 2026 — 49,941 subscribers4 September 2026 — 49,970 subscribers5 September 2026 — 50,051 subscribers7 August 20265 September 2026
48 measurements spanning 29 days, net +960. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 48,927–50,198 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
5 Sept 2026, 22:2050,051+81
4 Sept 2026, 16:3949,970+29
3 Sept 2026, 22:4149,941+72
2 Sept 2026, 23:2349,869+18
2 Sept 2026, 11:1149,851+14
1 Sept 2026, 19:3449,837+51
1 Sept 2026, 07:5849,786+14
31 Aug 2026, 20:3449,772+18
31 Aug 2026, 10:5749,754+15
30 Aug 2026, 18:4649,739+39
30 Aug 2026, 07:1949,700+34
29 Aug 2026, 21:4649,666+4
29 Aug 2026, 10:0249,662+30
28 Aug 2026, 23:0749,632+57
28 Aug 2026, 09:2449,575+31
28 Aug 2026, 02:1249,544+30
27 Aug 2026, 12:3449,514+44
27 Aug 2026, 04:1649,470+43
26 Aug 2026, 11:0449,427+22
26 Aug 2026, 04:0249,405first reading

Engagement

188 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 62 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.26%
avg views ÷ 50,051 subscribers
Avg views / post
630
188 posts measured
Reaction rate
0.637%
reactions ÷ views · ER floor
Posts in window
188
of 188 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 179 of 188 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 September 2026
Posts held188 (7 August 20265 September 2026)
Views total118,473
Reactions total719
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Sept 2026, 20:56 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

Video runtime
19m 34s
Average length
10s

Measured directly from 113 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

719 reactions across 179 posts, in 12 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
25435.3%
🔥14319.9%
🥰13719.1%
👏13218.4%
👍283.89%
😁162.23%
🤔30.417%
❤‍🔥20.278%
🍾10.139%
🎉10.139%
👀10.139%
😘10.139%

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 179 of the 188 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 719 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 188 most recent posts we hold, published 7 August 2026 to 5 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.

Recent posts

5 Sept 2026, 17:40 UTC307 views3 reactionsread 5 September 2026
Photo

👑莞式服务 至尊享受👑 💐环境高端优雅,颜值巅峰,服务天花板,致力打造SPA届的理想天堂 私密莞式 🪅 🔼 更有多位🔥00后 学生妹 持续出勤 🔽 大朗 厚街 南城 东城 常平 长安 寮步 虎门 万江 桥头 横沥 松山湖 樟木头等 《深圳/惠州各区全裸》 上百位98-06后佳丽,恭候各位光临 预约价:499两水 全程骚柔慢🐻波推+ 👃鼻吸慢指💅划哈气👅 👂耳魔音骚叫+浑身酥麻流动 +👅尖漫游每一寸肌肤(全程蛇🐍尖漫游+专攻小哥哥敏感区,免费提供:丝足调情 + 舔🥚➕独龙🐲🐻推,👅棍棍,(五分钟以上)🍑推,👋推,🦵推+慢tiao ,💃小姐姐 配合度高. 有特殊癖好可用🦶/🐻/脚关节出💧。 ✈️号:@dgsap88 个人频道: https://t.me/XYZwelll 个人群聊:https://t.me/+vLFp7itII9oyNDVl

1🔥1🥰1

5 Sept 2026, 15:43 UTC610 views3 reactionsread 5 September 2026
Photo

👍位置: #大朗 🤩艺名: #星星 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #舌吻 #嫩妹 #69 ✍️私聊: @xiaoxinxin2233 ⌨️频道: https://t.me/xiaoxx8897 ⚙️双向: @doudou321bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)

👏1🔥1🥰1

5 Sept 2026, 15:38 UTC566 views3 reactionsread 5 September 2026
Photo

👍位置: #南城 🤩艺名: #依依 - - - - - - - - - - - - - - - - - - - 🔠一节课700 🔠两节课1400 💝特色: #舌吻 #嫩妹 #69 ✍️私聊: @xiao5271 ⌨️频道: https://t.me/ruhhndkd ⚙️双向: @xiaoxiao768_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)

👏1🔥1🥰1

5 Sept 2026, 15:29 UTC528 views5 reactionsread 5 September 2026
Photo

👍位置: #南城 🤩艺名: #瑶瑶 - - - - - - - - - - - - - - - - - - - 🔠一节课700 🔠两节课1400 💝特色: #舌吻 #嫩妹 #69 ✍️私聊: @yaoyao816 ⌨️频道: https://t.me/yaoyao8913 ⚙️双向: @yaoyao8162_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)

2👍1👏1🥰1

5 Sept 2026, 08:26 UTC97 views3 reactionsread 5 September 2026
Photo

👍位置: #大朗 🤩艺名: #菜菜 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1100 💝特色: #嫩妹 #嫩妹 #舌吻 ✍️私聊: @cai25368 ⌨️频道: https://t.me/caicai2356 ⚙️双向: @caibao2589bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)

1👏1🥰1

5 Sept 2026, 08:06 UTC67 views4 reactionsread 5 September 2026
Photo

👍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)

2👏1🥰1

5 Sept 2026, 07:45 UTC198 views4 reactionsread 5 September 2026
Photo

👍位置: #南城 🤩艺名: #小语 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1000 💝特色: #嫩妹 #毒龙 #双飞 ✍️私聊: @xiaoyu280 ⌨️频道: https://t.me/lyu9916 ⚙️双向: @xiaoyu007_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)

👏2🔥1🥰1

5 Sept 2026, 07:33 UTC261 views3 reactionsread 5 September 2026
Photo

👍位置: #大朗 🤩艺名: #椰汁 - - - - - - - - - - - - - - - - - - - 🔠一节课700 🔠两节课1300 💝特色: #嫩妹 #舌吻 #黑丝 ✍️私聊: @YeZhi668899 ⌨️频道: https://t.me/Yexhi66668888 ⚙️双向: @yezhiBB6666_bot 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)

👏1🔥1🥰1

4 Sept 2026, 14:35 UTC650 views4 reactionsread 4 September 2026
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👍位置: #大朗 🤩艺名: #甜甜圈 - - - - - - - - - - - - - - - - - - - 🔠一节课600 🔠两节课1200 💝特色: #黑丝 #嫩妹 #性感 ✍️私聊: @ttq0607 ⌨️频道: https://t.me/ttq0709 ⚙️双向: 📞(东莞学生会)📞 ✍️报告模版 💌报告投稿 ❤️(上榜联系)

🥰2👏1🔥1

4 Sept 2026, 13:31 UTC702 views5 reactionsread 4 September 2026
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艺名: #贝贝 位置: #大朗 身高:160 体重:45kg 年龄:24 🉑免费拍📹🉑🐍吻🉑69🉑过夜 🐻胸围:c (纯天然) 服务内容:🐍💋甜蜜69 鸳鸯浴 水中箫 🐻推 调情 舌尖漫游 按摩 丝袜👠老汉推车 配合各种爱爱姿势 真胸调情 猴子偷桃 舌尖调情 臀部调情 丝袜美腿诱惑 深入了解激情❤️‍🔥aiai 🔥500p(40分钟内) 🔥800pp(80分钟内) 🏠自带工作室干净卫生欢迎哥哥来我家做客,外出pp起(预先支付路费) ⚠️注意:🈲 拔套🈲醉酒🈲无套 私信 @beibei6589 双向 @beibei68bot 频道 @beibei867

3👏1🥰1

4 Sept 2026, 12:09 UTC725 views4 reactionsread 4 September 2026
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东莞独家大型6000+平方水会。 惠州石湾独家(木桶浴+海选+全裸) 📱📱📱📱📱 清一色红牌98-06年为主倾情加入,服务升级,高档豪华环境,美女有质量,服务有保障公司免费P专用大型停车场、免费浴衣、过夜休息室、影视区、单独包间、健身房、棋牌室、台球、乒乓球、美容、男女宾部、自助餐、烟酒水、温泉池、搓澡(自费小项目)、干蒸24小时无限供应水果、零食、各类茶水等⋯#94丝足 #95口爆 (水疗、海选 、会所、简餐免费停车、免费过夜) 📱📱📱📱94丝足SPA会所覆盖东莞全区、惠州全区📱📱📱📱,虎门独家口爆会所 东城 南城 虎门 厚街 大朗 横沥 寮步 凤岗 松山湖 长安 石排 万江 石湾 博罗 惠城 惠阳 数40+位妹妹上班,御姐,巨乳,萝莉,小骚货各种类型都有,配合度高,主动开放热情,到点海选不满意可换到满意为止听话乖巧 😀😀😀😀服务内容😀😀😀😀 🎉🎉花式毒龙🎉🎉吃蛋舔蛋 🎉🎉舌线漫游🎉🎉蛇绕全身 🎉🎉耳语

1👏1🔥1😁1

4 Sept 2026, 11:45 UTC779 views5 reactionsread 4 September 2026
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😍😍😍😍😍😍😍😍 莞式海选会所🥫至尊帝王享受 📱📱📱📱📱📱📱📱 📱📱📱📱📱📱📱📱 📱📱📱📱📱📱📱📱 模特➡️1️⃣8️⃣🔣2️⃣8️⃣😀 📱只有颜值00后技师 📱不喜欢立马换,换到满意 📱不满意没有任何费用 📱无定金,无套路 服务: 📱📱📱📱📱📱 🍒帝王享受 花式服务 丝袜诱惑❤️ 🚵‍♀️陪伴洗澡 水磨推拿 口舌调情😁 😂胯下毒龙 情趣制服 足交胸推😃 😛滚水吸皮 口痧拔罐 69互👅😆 🤬互👅奶头 含🥚👅🥚 到店海选😌 😍😍😍😍😍😍😎😍 😍😍😍😍😍😍 😀停车方便 😀无套路 😀满足一切需求 时间:60-70分(😀不限) 优质门店覆盖😎😋😛😎 东莞-南城-东城-寮步-麻涌-大朗-松山湖-长安-厚街-虎门-清溪-塘厦-道窖-万江-横沥-营业中 深圳全区,惠州石湾,园洲 😘🥰🥰😘😘😎😎🥰 📱📱📱📱📱📱📱📱 ❤️ @qwer9999aa 双向🤖:@YY147_bot 😀客服:bp977m QQ客服:3325192278 狼

2👏2🔥1

Showing the 12 most recent of 188 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.

Mentions

Named by 6 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.

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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“东莞学生会公开榜🅢” (@dg555b), 50,051 subscribers as measured 5 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.