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Channel

韩宇~代开会员|代充游戏|各类签证

@viphanyu7788

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

368subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002464517480
TypeChannel
Username@viphanyu7788
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/viphanyu7788

Growth

3673693687 August 2026 — 369 subscribers8 August 2026 — 369 subscribers15 August 2026 — 367 subscribers22 August 2026 — 368 subscribers7 August 202622 August 2026
4 measurements spanning 15 days, net -1. 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 367–369 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 19:24368+1
15 Aug 2026, 03:25367-2
8 Aug 2026, 06:20369no change
7 Aug 2026, 18:03369first reading

Engagement

8 posts held, back to 22 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
66.6%
avg views ÷ 368 subscribers
Avg views / post
245
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 8 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 July 2026
Posts held8 (22 July 202630 July 2026)
Views total245
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:20 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
5s
Average length
5s

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.

Recent posts

30 Jul 2026, 16:01 UTC245 viewsread 8 August 2026
Photo

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28 Jul 2026, 04:15 UTC312 viewsread 8 August 2026
Photo

🇲🇲仰光-重庆🇨🇳毕业套餐来了[让我看看] 出发日 8月28-31号 4天3晚行程 一个人2850000缅币 #备注:不需要银行流水 含酒店+来回🔁机票+签证费+含餐

25 Jul 2026, 06:55 UTC999 viewsread 8 August 2026
Photo

最近很多客户都会问我: "为什么我钱包里的USDT转不出去?" 其实不是没有币,而是钱包没有TRX能量,还得自己再去买TRX,挺麻烦的。 所以我这边直接升级了一下服务👇 💸 U兑换缅币 ✅ 单笔 2000U及以上 🎁 免费赠送 TRON能量 ⚡️ USDT转账 0手续费 ❌ 不用自己准备TRX 📲 收到币后直接就能转,更省事。 一直觉得,换汇除了汇率,效率和服务也很重要。 汇率合适、大额支持、到账快,长期合作更放心。 有需要随时联系我,能帮大家省一点是一点。

25 Jul 2026, 06:13 UTC241 viewsread 8 August 2026
Photo

大量收U 回缅币🇲🇲 今日U-缅汇率🇵🇭🔣🇷🇺🇵🇭🇵🇭🇵🇳 手里🈶U 想换缅币,大额🉑➕➕➕ 🤮🤠😵‍💫🤤😵‍💫😵‍💫🤔😬😮‍💨🤮 😘😘😚😘😘😘🥰😘@viphanyu

23 Jul 2026, 08:49 UTC282 viewsread 8 August 2026
Photo

🍁 2026 新疆阿勒泰秋季 11天10晚|开始报名! 📅 出发时间:**8月28日-9月7日** 💰 人均¥14,500 / 人 ✅ 含国内往返新疆机票 ✅ 含酒店住宿 ✅ 含景点门票 ✅ 含旅游用车+部分餐食 🏔 喀纳斯湖 🌲 禾木村 🌈 五彩滩 🏜 S21沙漠公路 👹 魔鬼城 🏔 天山天池 🔥 吐鲁番火焰山 🚢 重庆两江夜游 📌 无需银行存款 📌 无需面试 📌 旅行社全程带队 📌 第一次出国也能轻松出发 👥 仅限25个名额,满团即止! 📩 想了解行程或报名,欢迎私聊咨询。 🍂 一年只有一次最美的新疆秋天,错过就要再等一年!

22 Jul 2026, 11:12 UTC240 viewsread 8 August 2026
Photo

🎉 重 消磅息!中缅 行出再添新选择! ✈️🇲🇲🇨🇳 从 10月13日起,MAI 缅 国甸际航空将 式正开通 仰光(Yangon)⇄ 成都(Chengdu)国 直际飞航线! 📅 每周二、周 执六飞 ✈️ 仰光 → 成都 🕡 18:20 起飞(缅 时甸间) 🕚 23:00 抵达(北 时京间) ✈️ 成都 → 仰光 🕛 00:00 起飞(北 时京间) 🕜 次日 01:40 抵达(缅 时甸间)

22 Jul 2026, 10:24 UTC222 viewsread 8 August 2026
Video

➡️➡️⭐星星代购星星代购⭐⬅️⬅️ ➡️什么是星星? 为好友送礼 为您的朋友赠送朋友,这些礼物可以保留在他们的个人资料页上或转换为星星。 在小程序中使用星币 在Telegram小程序中购买额外的内容和服务。 解锁频道中的内容 可以访问Telegram频道中的付费内容和服务。 作出星星回应 通过向您所喜欢的频道的贴文作出星星回应来支持它们。 🔔星星代购价格预览 ⭐️ 400 星星=8u ⭐️ 500 星星=10u ⭐️ 750 星星=15u ⭐️ 1000 星星=20u ⭐️ 2500 星星=50u ⭐️ 3000 星星=60u ⭐️ 4000 星星=80u ⭐️ 5000 星星=100u ⭐️官方购买-星星⭐️ ⭐ 400 星星=36000😊😉 ⭐ 500 星星=45000😊😉 ⭐ 750 星星=63750😊😉 ⭐ 1000 星星=90000😊😉 ⭐ 2500 星星=225000😊😉 ⭐

Showing the 8 most recent of 8 posts we hold for @viphanyu7788. 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.

Citation-graph rank

Citation-graph rank — 173,152 of 1,620,105entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“韩宇~代开会员|代充游戏|各类签证” (@viphanyu7788), 368 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/viphanyu7788.

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.