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Channel

🌓铭泽出海联盟-广告位招商频道

@hb789

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

5,895subscribers

-2 since we began measuring on 9 November 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004307221571
TypeChannel
Username@hb789
Created4 September 2026 — measured — dated from the channel’s first post
First recorded9 November 2026
Last confirmed live10 November 2026
Measurements held2
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/hb789

Growth

5,8955,8975,8969 Nov 2026, 08:22 — 5,897 subscribers10 Nov 2026, 02:44 — 5,895 subscribers9 Nov 2026, 08:2210 Nov 2026, 02:44
2 measurements taken within a single day, net -2. 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 5,895–5,897 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Nov 2026, 02:445,895-2
9 Nov 2026, 08:225,897first reading

Engagement

10 posts held, back to 4 September 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
170.2%
avg views ÷ 5,895 subscribers
Avg views / post
10,000
9 posts measured
Reaction rate
0.011%
reactions ÷ views · ER floor
Posts in window
9
of 10 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 9 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 16 October 2026
Posts held10 (4 September 2026 – 16 October 2026)
Views total90,290
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 08:22 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 10 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 4 September 2026 to 16 October 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

Telegram’s own ‘edited’ marker: 8 of 9 posts held from the last 30 days (88.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

16 Oct 2026, 05:39 UTC≈9,210 views1 reactionsread 9 November 2026
Photo

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❤1

15 Oct 2026, 15:30 UTC≈9,130 viewsread 9 November 2026
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15 Oct 2026, 15:28 UTC≈11,800 viewsread 9 November 2026
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telegram 官方机器人 @Stickers 建立站图包的官方贴图机器人 @vote 建立投票的官方机器人 @gif 搜寻GIF的官方机器人 @vid 搜寻影片的官方机器人 @music 搜寻音乐的官方机器人 @wiki 搜寻维基百科的官方机器人 @youtube 搜寻Youtube的官方机器人 @like 让将要发送的讯息带有喜欢接钮的官方机器人 @bold 使用Markdown语法传送讯息的官方机器人 @gmailbot 收Gmail电子邮件的官方机器人 @githubbot 接收GitHub事件通知的官方机器人 @QuizBot 建立小测验的官方机器人 @discussbot 让频道中的讯息可以评论的官方机器人 @telegraph 管理Telegra.ph文章的官方机器人

15 Oct 2026, 15:28 UTC≈9,950 viewsread 9 November 2026
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📘Telegram安全守则 〔1〕隐私三板斧:隐藏手机号码;设置两步认证;禁止P2P语音 〔2〕使用虚拟号码代替真实手机号码,如 Textnow,用美国IP地址注册 〔3〕电脑版 Telegram不打开任何外链,不下载任何文件。请转用手机操作 〔4〕尽量不分享资源到 Telegram,尤其从微信QQ、淘宝支付宝等需先脱敏 〔5〕用不越狱的苹果手机安装 Telegram等,不安装国产软件 〔6〕要使用境外 Apple ID,避免使用云上贵州 iCloud 📕高危人士(抓到会被判刑的人): 〔7〕不加为联系人、尽量不私聊(防止社会工程学渗透攻击) 〔8〕不设 username,加好友才临时随机生成(防止大数据情报分析) 〔9〕只用4G蜂窝网络上网,不用任何Wifi(防止黑客网络渗透) 〔10〕关闭 iCloud,关闭蓝牙,关闭GPS定位(防止大数据定位抓人) 〔11〕关闭指纹和脸部识别解锁,只用密码解锁(防止被抓后泄密) 〔12…

15 Oct 2026, 15:28 UTC≈9,720 viewsread 9 November 2026
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为了您的帐号安全,请及时设置两步验证密码和恢复邮箱 设置 -> 隐私和安全 -> 两步验证 该密码只会在新登录 Telegram 时被要求输入,不会带来任何麻烦 否则您的帐户将有很大的风险被盗用 注意: 请避免使用国内免费邮箱作为密码恢复邮箱 详情(英文): https://telegram.org/blog/15million-reuters 📱点击加入铭泽集团&出海联盟🔯

15 Oct 2026, 15:28 UTC≈9,180 viewsread 9 November 2026
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如何避免被陌生人拉人群组 不少电报用户都有被莫名其妙拉进群的经历,这是由于电报拉人机制被滥用造成的。想要避免这种情况的发生,只需要限制一下这个功能。 英文菜单: Settings -> Privacy and Security -> Groups&Channel -> My Contacts 中文菜单: 设置 -> 隐私和安全 -> 邀请权限控制 -> 我的联系人

15 Oct 2026, 15:27 UTC≈11,100 viewsread 9 November 2026
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Telegram 官网及下载地址 Telegram 有官方版和第三方版本,但出于安全和隐私的考虑,推荐大家使用 Telegram 官方客户端。 一 ,Telegram 官网:[https://telegram.org] 二,Telegram Desktop 桌面客户端: Windows 客户端 [https://desktop.telegram.org/] macOS 客户端 [https://macos.telegram.org/] 三,Telegram iOS 苹果客户端: 请自行在 iPhone/iPad 设备的应用商店 App Store 搜索 Telegram 下载即可。 注:从 Telegram iOS v5.0 版本开始,Telegram 和 Telegram X 已经合并为一个项目. 四,Telegram Android 安卓客户端: Google Play 下载 [https://play.googl…

Showing the 10 most recent of 10 posts we hold for @hb789. 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 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“🌓铭泽出海联盟-广告位招商频道” (@hb789), 5,895 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/hb789.

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.