🚀加入极搜互推一起赚钱🚀 车队:外围专用 2.63k 金边会所(总群)阿胜 1.11k 深圳全区精品快餐200 868 北京诗野个人频道 443 😍北京桃桃的小屋💋 824 西安薇薇酱❤️蜜桃臀(14-02点) 5.02k 印度伟哥|希爱力|艾力达|万艾可 1.34w 上海修车频道测评 1.9k 🔥蜜桃社|硅胶娃娃 实体娃娃展示 101 广州-滚石🔞 107 北京-滚石🔞 2.16k 老王·全国选妃伴游包养【全网最低价】 3.61k 全国站街spa会所 1.05k 广州~外围兼职(精选) 2.01k 美食素材库|美食灵感|美食资源宝库 679 福州南山spa 2.04w 新澳门六合彩精准预测 196 福建福州☞蘭桂坊☜精品选妃(五年老字号)2.0 1.8k 南昌外围嫩妹 1.01k 探花郎针孔设备 支持定制 1.11w 柒柒〔大学生良家包养伴游〕 1.1k 信阳仙女宫 南阳随州孝感六安 …
Channel
全国楼凤个人资源信息库🔍
@dlpLF
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,058subscribers
+249 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001946877943 |
|---|---|
| Type | Channel |
| Username | @dlpLF |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/dlpLF |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 05:18 | 13,058 | +29 |
| 4 Sept 2026, 09:56 | 13,029 | +5 |
| 3 Sept 2026, 00:55 | 13,024 | +13 |
| 2 Sept 2026, 01:26 | 13,011 | +12 |
| 1 Sept 2026, 00:45 | 12,999 | +5 |
| 30 Aug 2026, 21:55 | 12,994 | -4 |
| 28 Aug 2026, 21:14 | 12,998 | +9 |
| 27 Aug 2026, 18:14 | 12,989 | +51 |
| 26 Aug 2026, 19:34 | 12,938 | +4 |
| 25 Aug 2026, 18:52 | 12,934 | -9 |
| 24 Aug 2026, 21:45 | 12,943 | +23 |
| 23 Aug 2026, 10:46 | 12,920 | +6 |
| 21 Aug 2026, 21:38 | 12,914 | +14 |
| 20 Aug 2026, 20:58 | 12,900 | +15 |
| 19 Aug 2026, 18:22 | 12,885 | -6 |
| 18 Aug 2026, 21:03 | 12,891 | +19 |
| 17 Aug 2026, 18:16 | 12,872 | +15 |
| 16 Aug 2026, 15:29 | 12,857 | -1 |
| 15 Aug 2026, 00:47 | 12,858 | +41 |
| 13 Aug 2026, 18:06 | 12,817 | first reading |
Engagement
301 posts held, back to 6 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 61 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.279%
- avg views ÷ 13,058 subscribers
- Avg views / post
- 36.4
- 233 posts measured
- Reaction rate
- 1.34%
- reactions ÷ views · ER floor
- Posts in window
- 233
- of 301 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 50 of 233 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 | 301 (6 August 2026 – 2 September 2026) |
| Views total | 8,487 |
| Reactions total | 52 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:47 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
- 2m 26s
- Average length
- 12s
Measured directly from 12 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
62 reactions across 58 posts, in 2 distinct kinds. The most used accounts for 93.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 58 | 93.5% | |
| 👍 | 4 | 6.45% |
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 59 of the 301 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 301 most recent posts we hold, published 6 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
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#西宁 西宁 城北 #全套 600 联系方式已收录会员频道 👉 频道咨询机器人 👈 👉 投稿信息机器人 👈
C1组|超绝父女 1: 🔴大学生情侣酒店情侣宾馆偷拍系列【免费群】㊙️ 8.6k 2: 裸贷裸条肉偿大学生曝光 9.2k 3: cos少萝研究所 21.4k 4: 全国楼凤个人资源信息库🔍 13.0k AD:骚妈出轨实录
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🚀加入极搜互推一起赚钱🚀 车队:外围专用 2.63k 金边会所(总群)阿胜 1.11k 深圳全区精品快餐200 868 北京诗野个人频道 443 😍北京桃桃的小屋💋 824 西安薇薇酱❤️蜜桃臀(14-02点) 5.02k 印度伟哥|希爱力|艾力达|万艾可 1.34w 上海修车频道测评 1.9k 🔥蜜桃社|硅胶娃娃 实体娃娃展示 101 广州-滚石🔞 107 北京-滚石🔞 2.16k 老王·全国选妃伴游包养【全网最低价】 3.61k 全国站街spa会所 1.05k 广州~外围兼职(精选) 2.01k 美食素材库|美食灵感|美食资源宝库 679 福州南山spa 2.04w 新澳门六合彩精准预测 196 福建福州☞蘭桂坊☜精品选妃(五年老字号)2.0 1.8k 南昌外围嫩妹 1.01k 探花郎针孔设备 支持定制 1.11w 柒柒〔大学生良家包养伴游〕 1.1k 信阳仙女宫 南阳随州孝感六安 …
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C1组|超绝父女 1: 🔴大学生情侣酒店情侣宾馆偷拍系列【免费群】㊙️ 8.6k 2: 裸贷裸条肉偿大学生曝光 9.2k 3: cos少萝研究所 21.3k 4: 全国楼凤个人资源信息库🔍 12.9k AD:骚妈出轨实录
Showing the 12 most recent of 301 posts we hold for @dlpLF. 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 24 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.
@luodaipindao · 9,28232 posts皇冠代理 皇冠体育 皇冠足球 欧博代理
@oubo1112 · 9,10114 posts皇冠体育 皇冠足球 皇冠代理 欧博代理
@dashuiruanjian47 · 15,46313 posts欧博私网🅰️亚星私网🅰️环球360🅰️AG🅰️万利🅰️皇冠体育(返点置顶)
@YAXINGbbb · 8,05812 posts求职招聘/东南亚头条
@bx666zz8 · 16,32010 posts皇冠代理 皇冠足球 皇冠体育 亚星代理
@yaxing6699 · 14,0169 posts亚星代理 欧博代理 亚星私网 欧博私网
@yaxing6666 · 8,5078 posts经济时政 新闻🌖
@CJXW1 · 9,3847 posts🌍全球小姐姐服务中心🈲口嗨|修车|品茶
@Hao1234sex · 7,7067 posts亚星私网🅰️欧博私网🅰️皇冠足球正网私网1:1
@oubo2020 · 11,2757 posts口令通道/项目通道兑资洗金
@bbbvcgjb · 13,4993 posts海外中文资源交流站
@dungij328 · 10,0123 posts顶尖黑客团队gov入侵Bc渗透Dns劫持DDos攻防网站信息提权渗透源码搭建
@anchi88888 · 40,2312 posts新币车队/项目洗料/口令码
@bhgfyujb · 10,0962 posts博彩合营/南宫项目洗金
@hhgfdijbvcczghg · 13,7812 posts马来下水最实惠|马来西亚|吉隆坡|越南泰国妹
@malaigril · 10,0972 posts欧博代理 欧博私网 亚星代理 亚星私网
@oubo6699 · 6,7792 posts欧博代理|亚星代理|欧博私网|亚星私网
@ouboxxs · 14,1692 posts(南宫)口令/项目跑分/口令项目
@bhkjddfhjn · 11,4001 post灰产绿色通道兼职口令副业
@hjsuzhhshs · 15,5041 post小额洗资京东E卡话费卡充值卡24h自助公群
@jdmtptm · 6,2421 post新币四方通道跑料/正规
@jjbcfth · 13,4261 post支付宝自助博彩小额洗口发卡总站
@WERXSHMNVv · 13,4451 post珠海·坦洲·最新技师·邂逅·SPA
@zhuhaitanzhou95 · 12,9081 post
Names
Channels on the register whose handles appear in this channel's posts.
@luodaipindao · 9,28261 posts.
@toupai360360360 · 8,67261 postscos少萝研究所
@znb2020 · 21,62061 posts极搜互推
@hutui1bot · 13,81357 posts速搜
@ssou · 247,94110 posts速搜❤️🔥流量互推/广告交易
@TonAdNews · 10,49910 posts新币车队/项目洗料/口令码
@bhgfyujb · 10,0967 posts(正规项目)网赚/跑分通道
@jsjsnnsbzhg · 10,9016 posts抖音短剧|精彩爽文
@remenduanju · 11,1866 postsTG FIND
@tgfind · 3,1256 posts口令通道/项目通道兑资洗金
@bbbvcgjb · 13,4995 posts@支付宝/小额洗口令项目
@bjjbvddfujjn · 11,1125 posts皇冠体育 皇冠足球 皇冠代理 欧博代理
@dashuiruanjian47 · 15,4635 posts恶搞|韩国综艺
@egaozongyi · 11,6795 posts(正规项目)网赚/副业*口令/项目
@hjjncdsetyjjnbcf · 11,5835 posts马来下水最实惠|马来西亚|吉隆坡|越南泰国妹
@malaigril · 10,0975 postsX-Panel 社交媒体账号出售
@XPanelsell · 24,4535 posts(南宫)口令/项目跑分/口令项目
@bhkjddfhjn · 11,4004 posts(支付宝)收款码资金/项目口令
@bkkjfddfhhn · 10,8094 posts经济时政 新闻🌖
@CJXW1 · 9,3844 posts微信轮询通道小额洗资口令
@hugftujnf · 13,4614 posts182体育 福利频道(PG电子)
@vip182ty4 · 22,3304 posts亚星代理 欧博代理 亚星私网 欧博私网
@yaxing6666 · 8,5074 posts欧博私网🅰️亚星私网🅰️环球360🅰️AG🅰️万利🅰️皇冠体育(返点置顶)
@YAXINGbbb · 8,0584 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.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“全国楼凤个人资源信息库🔍” (@dlpLF), 13,058 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/dlpLF.
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.