💋名字: #小萝莉甜甜 #已认证 🗺地区: #广州 #天河区 💸价格:800P —1400PP 💬资料:年龄19 身高164 体重45KG 🐻天然C+ 🚀联系: @xiaoluoli6 👀频道: @xttluol1 💋报告: @luoli2318 🤖机器人: @fjjbn_bot 🎀标签: #鸳鸯浴 #舌吻 #🐻推 #毒🐲 #69 #口爆 #深喉 #舔蛋蛋 #情趣制服 #激情爱爱 #高度配合

Channel
广州太子妃资源榜
@gztzf2
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
32,102subscribers
-693 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001506339006 |
|---|---|
| Type | Channel |
| Username | @gztzf2 |
| Description | 交流群 https://t.me/gztzf1 |
| Created | Between 1 May 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/gztzf2 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 10:44 | 32,102 | -100 |
| 2 Sept 2026, 08:04 | 32,202 | -91 |
| 1 Sept 2026, 05:05 | 32,293 | -64 |
| 31 Aug 2026, 04:14 | 32,357 | -59 |
| 30 Aug 2026, 05:45 | 32,416 | -99 |
| 29 Aug 2026, 04:53 | 32,515 | -39 |
| 28 Aug 2026, 05:58 | 32,554 | -36 |
| 27 Aug 2026, 06:17 | 32,590 | -47 |
| 26 Aug 2026, 07:54 | 32,637 | -140 |
| 25 Aug 2026, 05:25 | 32,777 | -19 |
| 24 Aug 2026, 07:29 | 32,796 | -101 |
| 22 Aug 2026, 15:24 | 32,897 | +19 |
| 21 Aug 2026, 05:36 | 32,878 | +57 |
| 20 Aug 2026, 03:23 | 32,821 | +63 |
| 19 Aug 2026, 02:58 | 32,758 | -37 |
| 18 Aug 2026, 06:45 | 32,795 | first reading |
Engagement
39 posts held, back to 10 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 34 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.47%
- avg views ÷ 32,102 subscribers
- Avg views / post
- 3,040
- 39 posts measured
- Reaction rate
- 0.025%
- reactions ÷ views · ER floor
- Posts in window
- 39
- of 39 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 4 of 39 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 39 (10 August 2026 – 2 September 2026) |
| Views total | 118,550 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:01 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.
What this channel posts
- Photos
- ≈1,780
- Videos
- ≈172
- Links
- ≈238
Lifetime counters from Telegram’s own channel header, read 3 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.
- Video runtime
- 1m 48s
- Average length
- 10s
Measured directly from 11 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
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 4 of the 39 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 10 August 2026 to 2 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
💋名字: #小星朵 #已认证 🗺地区: #广州 #天河区 💸价格:700P—1400PP 🚀联系: @xiaoxinduo85 👀频道: https://t.me/xiaoxinduo96 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
💋名字: #晶晶 #已认证 🗺地区: #广州#天河 💸价格: 800P —1500PP 💬资料: 身高175 体重48KG 胸38D 🚀联系: @jingjingls1 👀频道:https://t.me/yujiejj 机器人:@jingjingjqrbot 🎀标签: #甜美 #大胸 #长腿 #肤白 # 舔蛋#毒龙#玉女吹箫
💋名字: #菲菲 #【抓龙筋】 🗺地区: #广州#天河区 💸价格:399 —1399 私聊:@feifeizhualongjin456 频道:https://t.me/+ZeTWHDO9AL8wMDZl 机器人: 标签🏷:#抓龙筋
😦坐标:#广州 #天河区 📱艺名:#38E瑶瑶公主 📣标签:#已认证 💸课费:800/P-1500/PP 🚀私聊: @yaols11 🙂频道: @yy168d ✅双向: @dbjdjs8i_bot ☄️标签:#69 #长腿 #肤白 #舌吻 #嫩妹
🎟️ 抽奖标题:兮兮老师抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@modou666888 🎫 参与条件: 🎫 加入-增城(兮兮小世界) 🎫 加入-广州太子妃 🎫 加入-广州太子妃资源榜 🎁 奖品内容: 💰️ 口令红包10 × 1 💰️ 100优惠券 × 5 📅 开奖时间:2026-09-02 14:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178810291168
💋名字: #女神 #已认证 🗺地区: #广州 #天河区 💸价格:900P—1800PP 🚀联系: @kcws888 👀频道: https://t.me/szwstkjy01 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势
🎟️ 抽奖标题:奶霸老师抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@naiba13 🎫 参与条件: 🎫 加入-广州顶流奶霸频道❤️ 🎫 加入-广州太子妃 🎫 加入-广州太子妃资源榜 🎫 加入-广州鸟语花香 🎁 奖品内容: 💰️ 口令红包10 × 1 💰️ 夜课优惠券500 × 3 💰️ 2p优惠券300 × 8 💰️ 1p优惠券200 × 8 📅 开奖时间:2026-09-01 13:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178802148505
💋名字: #00后奶霸 #已认证 🗺地区: #广州#天河区 💸价格:800P —1600PP 💬资料: 身高173 年龄22 🐻38G 🚀联系: @naiba13 👀频道:@ncisx09 💋报告:@hsisi13 机器人:@isclqz_bot 🎀标签: #亲嘴 #🐻推 #舌吻 #舔咪咪 #水中箫 #丝袜高跟 #制服诱惑
#广州抓龙筋 #泰国抓龙筋 #前列腺保养 #龟责 #丝足 #潮吹 #SM 😶本店泰国进修技术,老师均持证上岗,师承泰国,专注于男士调理保养领域多年,经验丰富,手法专业,擅长于男士~增粗硬~延时脱敏秘术,等全面保养,动调,丝足诱惑,前列保养,丝袜龟责潮喷,酥麻酸爽,欲罢不能,激情释放,直达云顶之人,尽享男人的快乐 欢迎预约咨询! 💌电报: @rong605 机器人: t.me/rong605Bot 频道: @rong505 ☎️:13924623796 QQ:3823064577 🏠地址:天河区潭村地铁站附近
💋名字: #兮兮 #已认证 🗺地区: #广州 #增城区 💸价格:600P — 1200PP 💬资料:年龄22 身高168 体重52 🐻C 🚀联系: @modou666888 👀频道: https://t.me/zzmm123321 机器人: @Y0358bot 🎀标签: #鸳鸯浴 #调情 #波🐻推 #舔蛋蛋 #蚂蚁上树 #丝袜 #水多妹妹紧
🎟️ 抽奖标题:小魔女老师抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@xmn0505 🎫 参与条件: 🎫 加入-广州05二次元小魔女花园🔥🔥🔥 🎫 加入-广州太子妃资源榜 🎫 加入-广州太子妃 🎁 奖品内容: 💰️ 口令红包10 × 1 💰️ 夜课优惠券500 × 3 💰️ 2p优惠券300 × 8 💰️ 1p优惠券200 × 8 📅 开奖时间:2026-08-30 14:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178789839766
Showing the 12 most recent of 39 posts we hold for @gztzf2. 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
Names
Channels on the register whose handles appear in this channel's posts.
@gztzf1 · 44,04612 posts🧧GT免费抽奖机器人🧧
@zzbjqrbot · 17,21512 posts广州鸟语花香
@shhtyc1 · 51,03910 posts广州印象
@gzyx99 · 42,6709 posts广州马来西亚🇲🇾柳如烟华裔
@mlxyhy1 · 8,7794 posts广州顶流奶霸频道❤️
@ncisx09 · 16,2514 posts广州04年花店老板娘38D🌹
@huad80 · 12,1453 posts❤️广州御姐38D晶晶🔥
@yujiejj · 15,0383 posts广州05二次元小魔女花园🔥🔥🔥
@dcnil19 · 8,7492 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,638,0172 posts🍭广州兼职06年小萝莉甜甜🍇
@xttluol1 · 17,7252 posts增城(兮兮小世界)
@zzmm123321 · 7312 posts微微小花园
@baiyunxiao · 2961 post飞机会员/GT号/大圣工作室
@datgzs · 72,9351 post女王🦋狂野🦋新频道
@hjm52088y · 2,9731 post小星朵的反差日记💗
@xiaoxinduo96 · 1231 post小怡怡🏠(重建版)
@yiyi00808 · 2081 post广州模特瑶瑶私密窝38E
@yy168d · 13,9691 post小雨的频道❤️
@Zoea001 · 3631 post
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“广州太子妃资源榜” (@gztzf2), 32,102 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/gztzf2.
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.