补了以前的预览,在1群 👉👉点此进入预览 1 群(包括以前的预览) 👉👉点此进入预览 2 群 👉👉点此进入预览3群(临时更新最近的)
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Channel
@gvxiaoge
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
18,165subscribers
+1,016 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002479712102 |
|---|---|
| Type | Channel |
| Username | @gvxiaoge |
| Created | 13 August 2025 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/gvxiaoge |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 07:20 | 18,165 | +4 |
| 3 Sept 2026, 15:01 | 18,161 | +61 |
| 2 Sept 2026, 04:37 | 18,100 | +20 |
| 1 Sept 2026, 06:46 | 18,080 | +3 |
| 31 Aug 2026, 10:04 | 18,077 | +14 |
| 30 Aug 2026, 07:44 | 18,063 | +15 |
| 29 Aug 2026, 08:05 | 18,048 | +9 |
| 28 Aug 2026, 09:38 | 18,039 | +9 |
| 27 Aug 2026, 10:48 | 18,030 | +7 |
| 26 Aug 2026, 12:25 | 18,023 | +20 |
| 25 Aug 2026, 12:54 | 18,003 | +15 |
| 24 Aug 2026, 09:48 | 17,988 | +100 |
| 22 Aug 2026, 16:48 | 17,888 | +50 |
| 21 Aug 2026, 07:15 | 17,838 | +56 |
| 20 Aug 2026, 08:35 | 17,782 | +57 |
| 19 Aug 2026, 11:25 | 17,725 | +55 |
| 18 Aug 2026, 14:43 | 17,670 | +64 |
| 17 Aug 2026, 13:59 | 17,606 | +65 |
| 16 Aug 2026, 06:28 | 17,541 | +91 |
| 14 Aug 2026, 18:15 | 17,450 | first reading |
7 posts held, back to 13 August 2025 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 53 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
350 reactions across 6 posts, in 7 distinct kinds. The most used accounts for 91.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 319 | 91.1% | |
| 😁 | 13 | 3.71% | |
| 💋 | 6 | 1.71% | |
| 👍 | 5 | 1.43% | |
| 👏 | 5 | 1.43% | |
| 💩 | 1 | 0.286% | |
| 🔥 | 1 | 0.286% |
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 6 of the 7 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 350 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 13 August 2025 to 3 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.
补了以前的预览,在1群 👉👉点此进入预览 1 群(包括以前的预览) 👉👉点此进入预览 2 群 👉👉点此进入预览3群(临时更新最近的)
❤10👍1🔥1
解决IOS用户,无法查看成人频道方法 Telegram 如果你进入某个群或频道遇到如下提示: This channel can't displayed because it was used to spread pornographic content. 原因: 有人在群/频道里发了色情内容, 被 Telegram 官方限制了; ✅解决办法: 登录Telegram Web网页版链接: https://web.telegram.org (复制到浏览器打开) ⚡️操作: 登录网页版后 ➊点击「Settings/设置」 ➋点击「Privacy and Security/隐私和安全」 ➌找到「Sensitive content/敏感内容」并勾选「Disable filtering/禁用过滤」 ➍ 重启 iOS 客户端即可正常访问
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🌺🌺进群教学🌺🌺 付款后不会进群的看这里,请自助进群,无需客服拉你入群 付款后如果没有卡密,请重新打开网站,点订单查询 卡密就是进群链接,复制到浏览器打开或者发送到客服聊天窗口都可以进群! 👉👉 自助购买机器人 点此自助购买1 (如果打不开网址,请把网络换一个,比如联通换移动,联通换电信,或者打开关闭VPN试试,最好不要用手机自带浏览器访问) 👉👉点此进入预览群【预览一下资源是否满意再购买】 ‼️点我电报汉化 今天连资源小哥主号也被封 晚点重新整理下上传 25年的资源会继续上传 最近电报封得严重 大家关注一下我的推 X : ziyuanxiaoge13 暂时售后客服 @xiaoge1069 (无法私聊请看上一条解除双向) 客服机器人 @zyxgs_bot
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解除双向步骤 普通账号解除双向限制教程: 1. Telegram 搜索栏搜索:Spam Info Bot 也可点击 @SpamBot 直接开始对话: 2. This is a mistake 3. Yes 4. No ! Never did that ! 5. 手动回复:accident 搞定!半个小时后生效解除 *会员*帐号秒解双向限制教程: 1.Telegram 搜索栏搜索:Spam Info Bot 也可点击 @SpamBot 开始对话,并按顺序点击以下内容 2. /start 3. OK 4. /start 5. Cool, thanks 搞定!会员号秒解双向
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1
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Channel created
Showing the 7 most recent of 7 posts we hold for @gvxiaoge. 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.
Named by 2 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.
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.
@gvxiaoge named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“GV小哥公告群” (@gvxiaoge), 18,165 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/gvxiaoge.
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.