Telegram RegisterThe public register of Telegram

Channel

龙岗小洋洋频道课表

@zybgmg

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,730subscribers

-75 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001805773642
TypeChannel
Username@zybgmg
CreatedBetween 1 October 2022 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/zybgmg

Growth

2,7302,8052,767.56 August 2026 — 2,805 subscribers7 August 2026 — 2,793 subscribers9 August 2026 — 2,764 subscribers13 August 2026 — 2,730 subscribers6 August 202613 August 2026
4 measurements spanning 6 days, net -75. 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 2,719–2,816 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 06:052,730-34
9 Aug 2026, 22:112,764-29
7 Aug 2026, 07:372,793-12
6 Aug 2026, 20:042,805first reading

Engagement

17 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.9%
avg views ÷ 2,730 subscribers
Avg views / post
706
16 posts measured
Reaction rate
0.243%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 8 of 16 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 7 August 2026
Posts held17 (25 July 20267 August 2026)
Views total11,300
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:19 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.

Reaction mix

14 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 71.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1071.4%
🍓214.3%
👍17.14%
🤷17.14%

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 8 of the 17 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 25 July 2026 to 7 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

7 Aug 2026, 08:51 UTC151 views2 reactionsread 7 August 2026
Photo

秋天第一杯奶茶谁请我喝呀,奖励一个么么哒😛

🍓2

6 Aug 2026, 09:12 UTC452 viewsread 7 August 2026

#小洋洋 已在老友会验证上榜 ❗️点击👉 @szxglyhglBot 进入机器人查阅老师榜。 t.me/szxglyhglBot?start=-1002640036076 没有群主只有玩家,纯交流纯分享群 ,分享优质老师,发掘优秀新人。

6 Aug 2026, 09:08 UTC415 viewsread 7 August 2026

深圳·乱世俏佳人 群里有现金福利、白嫖福利、水群福利等各项福利 佳人群: https://t.me/abtmjojneneneny 佳人榜单: https://t.me/xxxmmmjjja 佳人报告: https://t.me/xienduendj 那些年·错过的女孩: https://t.me/abtmchoosese 佳人备用群: https://t.me/Sz_Choosese

6 Aug 2026, 09:07 UTC394 viewsread 7 August 2026
Photo

🎰 龙岗小洋洋 @weetwe 半价p 📮 参与条件: 🌏️ 归属地 广东 🪪 必须设置用户名 🎫 加入-深圳·乱世俏佳人(备用群) 🎫 加入-深圳·乱世俏佳人 └ 🎟️ 发言数大于 66 条 🎫 加入-龙岗小洋洋频道课表 🎁 奖品内容: 💰️ 龙岗小洋洋 @weetwe 半价p × 1 ⚠️ 抽奖说明: 1:中奖者24小时内私聊老师兑奖; 2:开奖3天内没有兑奖的,则过期无效; 3:兑奖需要出击完提交详细报告:@Szqiaojiarenbg_bot 4:不去私聊管理 @bingmeishijiabing 回收; 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年08月09日 17时00分00秒

6 Aug 2026, 09:07 UTC369 viewsread 7 August 2026

#小洋洋 已在老友会验证上榜 ❗️点击👉 @szxglyhglBot 进入机器人查阅老师榜。 t.me/szxglyhglBot?start=-1002640036076 没有群主只有玩家,纯交流纯分享群 ,分享优质老师,发掘优秀新人。

6 Aug 2026, 09:07 UTC370 views0 reactionsread 7 August 2026

深圳出击风向(繁花)群 验证榜单:@fanhuax 群组:https://t.me/+M2PRHBINX_hjMGMx 优质老师,真实狼友邀请制,与你分享真实的出击见闻

5 Aug 2026, 10:46 UTC539 views2 reactionsread 7 August 2026
Photo

🎰 龙岗小洋洋1P半价优惠活动 📮 抽奖条件: 🎫 加入-龙岗小洋洋频道课表 🎫 加入-深圳新世界报告 🎫 加入-深圳新世界已验证 🎫 加入-深圳新世界(免费上榜) 🎁 奖品内容: 1P半价优惠卷 × 1 💡 活动说明: 1.兑奖联系: @weetwe 2.炸号者中奖作废 3.半价需要写报告 4.请5天内兑奖、过期无效 🎬🌹福利视频在线观看: https://t.me/+50XSretPigkxY2U0 📅 开奖日期:(UTC+8) 2026年08月09日 19时30分00秒

2

5 Aug 2026, 10:34 UTC488 views1 reactionsread 7 August 2026

深圳新世界🎁盛世回归、强势归来 万元现金大放送🧧福利免费送 群组: https://t.me/XSJLTQ888 被骗定金群主包赔付 只做最真实的流量群、给老师、给同学、高质量、高回归👍 现金红包 半价劵 出击补贴 等你来拿

👍1

2 Aug 2026, 11:25 UTC775 views1 reactionsread 7 August 2026
Photo

新皮肤哦,老公们快来体验🐍🐍

1

29 Jul 2026, 16:24 UTC≈1,130 views5 reactionsread 7 August 2026
Forwarded from @hmlbgpd

【评价时间】:7.29 【老师名字】:小洋洋 【联系方式】:@weetwe 【验证留名】:哦呀 【颜值】:8分 【身材】:9.5分 【服务】:10分 【态度】:10分 【机车行为】:无 【过程描述】:此地无银三百两,单抽也能🀄️大奖,中了老师的半价,第二天马上约了时间,下班吃完饭就往老师这里赶。宝安到龙岗,一个多小时的路程可见疲惫😫,到了,老师遥控上门,进门就看见肤白貌美大长腿的嫩妹,一身白裙近似白月光在等我,疲惫一扫而空。走进一看,嗯~如图所示,人照一致。简单聊两句,交完水费,就相约脱衣沐浴,衣服一脱看到小洋洋,皮肤白嫩光滑细腻,粉嫩的大波更惊喜了。进浴室后不禁背后抱起小洋洋抚摸了起来,奶子手感绝了,摸着她柔软的大白兔,不知觉硬了起来,洗完有一次性毛巾,和漱口水。擦干到床上,开始服务,柔软的身体贴上来,开亲胸,漫游,享受中我不禁发出声音,太享受了。慢慢往下舔,含住时,温热的包裹简直无法形容,妹子的技术游刃有余,舔得特别到位。口

5

Showing the 12 most recent of 17 posts we hold for @zybgmg. 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 — 336,212 of 1,169,250entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Mentions

Named by 3 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“龙岗小洋洋频道课表” (@zybgmg), 2,730 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/zybgmg.

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.