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Channel
大连女优
@gaozhon456456
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
54,367subscribers
+7,200 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002667717008 |
|---|---|
| Type | Channel |
| Username | @gaozhon456456 |
| Description | 本交流群旨在打造大连优质活跃公益修车交流群,定期上传各种验证过的优质资源,让大家不再为修车烦恼。 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/gaozhon456456 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 11:16 | 54,367 | +12,564 |
| 5 Sept 2026, 02:20 | 41,803 | -714 |
| 3 Sept 2026, 09:18 | 42,517 | -695 |
| 2 Sept 2026, 05:18 | 43,212 | -369 |
| 1 Sept 2026, 02:29 | 43,581 | -294 |
| 31 Aug 2026, 04:55 | 43,875 | -436 |
| 30 Aug 2026, 07:13 | 44,311 | -594 |
| 29 Aug 2026, 06:53 | 44,905 | -616 |
| 28 Aug 2026, 03:45 | 45,521 | -398 |
| 27 Aug 2026, 05:36 | 45,919 | -396 |
| 26 Aug 2026, 04:33 | 46,315 | -393 |
| 25 Aug 2026, 07:52 | 46,708 | -244 |
| 24 Aug 2026, 10:56 | 46,952 | -215 |
| 22 Aug 2026, 23:01 | 47,167 | first reading |
Engagement
14 posts held, back to 13 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 37 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.09%
- avg views ÷ 54,367 subscribers
- Avg views / post
- 591
- 14 posts measured
- Reaction rate
- 0.073%
- 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 4 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 14 (13 August 2026 – 7 September 2026) |
| Views total | 8,278 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Sept 2026, 23:47 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
- Photos
- 738
- Videos
- 123
- Links
- 34
Lifetime counters from Telegram’s own channel header, read 8 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 20s
- Average length
- 10s
Measured directly from 2 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 2 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 14 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 14 most recent posts we hold, published 13 August 2026 to 7 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
#频道互推 #相似推荐 ------------------------------ 📢 sm玩物套路直播回放调教 📢 🇯🇵日本AV®|中文字幕 |番号(精品典藏) 📢 精选 麻豆 剧情 国产 反差 视频 📢 水果派🍉 精选 AV 中文解说 📢 日本AV|中文字幕|无码高清 📢 🔞巨乳美臀反差 | 人妻少妇 18+ 📢 女同百合蕾丝边 | 拉拉福利分享 18+ 📢 熟女少妇探花系列 📢 源神影业|媚黑 绿帽 反差 调教 📢 伟哥/悍马糖/延时助勃/阳痿早泄保健品 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励
【花名】: 小妮子;零零年 【课室】: 沙河口区 #鹏辉广场 【身材】: 155cm 43kg 🐻C 你的专属女友,温柔知性,为你展现最美的自己 三点粉,粉嫩的蜜桃臀,有趣的灵魂与美丽的肉体 ⭐️⭐️⭐️⭐️⭐️ 点击下方👇评论查看老师详情
【花名】: 林月 02年 【课室】: 西岗区 #大连恒隆广场 【身材】: 173cm 43kg 🐻F 高颜值新人,欧美身材,天然大奶子 皮肤雪白,三点粉,白虎会潮喷 ⭐️⭐️⭐️⭐️⭐️ 点击下方👇评论查看老师详情
❤2
#频道互推 #相似推荐 ------------------------------ 📢 步兵统领pmv 暴力混剪 📢 推特onlyfans精品视频 📢 国产看片小电影 📢 抖音巨乳熟女乱伦口交 📢 JK少萝COS白虎福利姬 📢 🔞足控丝足反差 | 熟女人妻 18+ 📢 网红主播精神反差 | 抖音快手自拍 18+ 📢 🔞动漫漫画 | 成人二次元里番 📢 精选AI成人短剧 📢 AI国产短剧 成人短剧 ------------------------------ ☁️ 互推入口:@sososo
SOSO 搜搜 把 Telegram 搜索和发现放在一个入口。 想继续找频道、群组、帖子或贴纸,直接输入关键词。 也可以从发现页继续浏览同类入口。
#频道互推 #相似推荐 ------------------------------ 📢 sm玩物套路直播回放调教 📢 🇯🇵日本AV®|中文字幕 |番号(精品典藏) 📢 精选 麻豆 剧情 国产 反差 视频 📢 水果派🍉 精选 AV 中文解说 📢 日本AV|中文字幕|无码高清 📢 🔞巨乳美臀反差 | 人妻少妇 18+ 📢 女同百合蕾丝边 | 拉拉福利分享 18+ 📢 熟女少妇探花系列 📢 少妇福利档案 📢 中转通知频道 ------------------------------ ☁️ 互推入口:@sososo
【花名】: 蔡文姬 02年 【课室】: 西岗区 #世纪家园 【身材】: 163cm 55kg 🐻E+ 中俄混血,性感女神,调情高手 逼紧水多,会夹会吸,敏感骚穴,易高潮 ⭐️⭐️⭐️⭐️⭐️ 点击下方👇评论查看老师详情
#频道互推 #相似推荐 ------------------------------ 📢 步兵统领pmv 暴力混剪 📢 推特onlyfans精品视频 📢 国产看片小电影 📢 抖音巨乳熟女乱伦口交 📢 🔞足控丝足反差 | 熟女人妻 18+ 📢 网红主播精神反差 | 抖音快手自拍 18+ 📢 🔞动漫漫画 | 成人二次元里番 📢 TG公益免费代理VPN 📢 水果派🍉AV中文解说福利社 📢 国产麻豆探花糖心 ------------------------------ ☁️ 互推入口:@sooo
【花名】: 小甜甜 02年 【课室】: 沙河口区 #南院商城 【身材】: 167cm 49kg 🐻C 颜值与气质并存的嫩妹,身材高挑,蜜桃香臀 三点粉,床上功夫巨骚,甜美听话,情绪拉满 ⭐️⭐️⭐️⭐️⭐️ 点击下方👇评论查看老师详情
❤1
【花名】: 伊菲 【课室】: 中山区 【身材】: 168cm 49Kg 🐻E 新人嫩妹,紧致水多,可御可甜 温柔体贴,敏感体质,清纯女友 ⭐️⭐️⭐️⭐️⭐️ 点击下方👇品论查看老师详情
【花名】: 周周 【课室】: 西岗区 【身材】: 162cm 97g 🐻C 活泼可爱,青春活泼,清纯美丽 水多B紧,,三点全粉,白白嫩嫩 ⭐️⭐️⭐️⭐️⭐️ 点击下方👇品论查看老师详情
Showing the 12 most recent of 14 posts we hold for @gaozhon456456. 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 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's 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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“大连女优” (@gaozhon456456), 54,367 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/gaozhon456456.
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.