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Channel

💗圆圆💗的闺房

@gzpyyuanyuan520

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

263subscribers

+151 since we began measuring on 18 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004410093735
TypeChannel
Username@gzpyyuanyuan520
Created17 October 2026 — measured — dated from the channel’s first post
First recorded18 October 2026
Last confirmed live18 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 18 October 2026
On Telegramt.me/gzpyyuanyuan520

Growth

112263187.518 Oct 2026, 08:47 — 112 subscribers18 Oct 2026, 09:22 — 112 subscribers18 Oct 2026, 16:49 — 263 subscribers18 Oct 2026, 08:4718 Oct 2026, 16:49
3 measurements taken within a single day, net +151. 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 89–286 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Oct 2026, 16:49263+151
18 Oct 2026, 09:22112no change
18 Oct 2026, 08:47112first reading

Engagement

14 posts held, back to 17 October 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.7%
avg views ÷ 263 subscribers
Avg views / post
62.4
10 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 1 of 10 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 18 October 2026
Posts held14 (17 October 2026 – 18 October 2026)
Views total624
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Oct 2026, 09:22 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.

Recent posts

18 Oct 2026, 09:15 UTC14 viewsread 18 October 2026
Photo

🎉 学院派圆圆半价优惠券活动 🎁 奖品清单 • 1p半价卷 × 1 • 100元优惠券 × 5 • PP200元优惠券 × 5 🛡️ 参与条件 • 加入 广州学院派 • 加入 💗圆圆💗的闺房 • 加入 广州学院派公开榜 • 加入 广州学院优选帮 • 加入 广州学院派报告 • 加入 广州学院派榜(备份榜) • 加入 广州学院派(备份群) • 参加抽奖后需在 广州学院派 内发言10次 └ 群内发送“抽奖进度”查看完成度(每日限5次) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:3学院分 • 祝福上限:200次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 开奖时间 • 2026-10-22 13:00:00 📜 抽奖说明 兑奖联系: @pyyuanyuan520 1.禁止买卖优惠券,发现封禁处理,转让需要老师同意,半价优惠券所有权归老师所有 2.半价优惠券有效期为7天,中奖者需要七…

18 Oct 2026, 08:38 UTC42 viewsread 18 October 2026

📢 广州繁花出击群 优质老师免费上榜 ➡️小程序: http://t.me/fanhuaabot?startapp ➡️群组:https://t.me/+aZ7zOObPAIExM2Qx ➡️榜单:https://t.me/GZFHZY 🤨 🤨 🤨 万元出击现金补贴不定期大放送 🌸只收录真人真照优质老师 🔤杜绝网红假照 狼友可放心出击!🤯😥☹️😭

18 Oct 2026, 08:21 UTC63 viewsread 18 October 2026
Photo

🎰@pyyuanyuan520 圆圆杰尼龟福利抽奖活动 🎁奖品如下: P半价卷(必须写报告) x 1 P优惠卷100 x 5 PP优惠卷200 x 5 🎟参加条件: 加入-💗圆圆💗的闺房 加入-广州杰尼龟修車樂園 加入-广州最全娱乐资源【杰尼龟】 加入-广州杰尼龟【公告】 加入-杰尼龟中转【防丢失】 📝抽奖说明: 1. 兑奖请联系 @pyyuanyuan520 2. 优惠券自开奖时间起 7 天内有效。 3. 炸号者中奖作废。 4. 发奖人在发奖前请仔细阅读发奖指引,以防奖品被冒领造成不必要的损失👉 https://t.me/kind216/238 ⏰开奖时间: 2026-10-20 16:20:00

18 Oct 2026, 08:08 UTC71 viewsread 18 October 2026
Photo

🎰 【府上圆圆半价 抽奖活动】 🎫 加入的前置频道: 🎫 加入 —— 广州嫩妹名探【重生府】 🎫 加入 —— 广州嫩妹名探【重生榜】 🎫 加入 —— 广州嫩妹名探甄选 🎫 加入 —— 广州嫩妹名探公开社 🎫 加入 —— 广州嫩妹榜【备胎】 🎫 加入 —— 广州嫩妹备用府 🎫 加入 —— 💗圆圆💗的闺房 🎟️ 要求活动期间群内发言数 20 🎁 奖品内容: 半价/p × 1 p-100 × 5 pp-200 × 5 💡 活动说明: 👉🏿 ❶ 自开奖时间起 3天内有效 ∴ 请在3日内约课(7天内兑奖) 👉🏿❷炸号中奖作废! 👉🏿❸出击完7日内提供详细的报告提交: @Chenyaoyao1_bot (否则拉黑挂榜) 👉🏿❹ 严禁转让,买卖 发现后永久拉黑! 老师兑奖严格按照 开奖信息 跳转兑奖! 📅 开奖日期: (UTC + 8) 2026年10月20日 16时07分18秒 ⚡️ 加成说明: …

18 Oct 2026, 07:51 UTC70 viewsread 18 October 2026

【广州学院派报告】: https://telegram.me/gzscp 老师名称: 联系方式: 验证留名: 上课地点: 验证时间: 上课价格: 老师年龄: 老师颜值: 老师身材: 课室环境: 服务项目: 自由评论: ✨温馨提示:报告仅代表个人体验,仅供参考! 报告投稿机器人: @yssaberbot (提交报告收录需要约课记录或者交易记录)

Showing the 12 most recent of 14 posts we hold for @gzpyyuanyuan520. 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 4 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 18 October 2026 — this entry's latest reading, not the date you are reading this.

“💗圆圆💗的闺房” (@gzpyyuanyuan520), 263 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/gzpyyuanyuan520.

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.