😰 甜蜜只是表象,真正让人期待的,是下一次连爆。💕 💓来挑战 😃😄 【甜心糖果大富翁】 🥰💓 🥰 缤纷糖果铺满整个网格,每一次落下,都可能开启一场意想不到的甜蜜惊喜。 🥱 集齐 8–12个相同符号 即有机会赢取奖励,中奖位置再次命中,乘数还能持续翻倍! 📱 乘数最高可达 ❌🔤🔤🔤 💸 最高可赢 5️⃣0️⃣0️⃣0️⃣倍投注 🎯 3种前注玩法 + 2种奖励购买功能 💣看起来是糖果派对,玩起来却总期待下一次命中。惊喜层层放大,乘数也可能再升一级! 😟😟😟😟 @KF2028KFVIP 😃😄😃😄 20280506.com

Channel
2028体育大玩家福利频道
@TY2028VIP9
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
6,007subscribers
+1 since we began measuring on 24 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1004462833363 |
|---|---|
| Type | Channel |
| Username | @TY2028VIP9 |
| Created | 16 August 2026 — measured — dated from the channel’s first post |
| First recorded | 24 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/TY2028VIP9 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 15:03 | 6,007 | +1 |
| 25 Aug 2026, 10:19 | 6,006 | no change |
| 24 Aug 2026, 11:45 | 6,006 | first reading |
Engagement
3 posts held, back to 16 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 15.8%
- avg views ÷ 6,007 subscribers
- Avg views / post
- 950
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 3 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.
| Window | Rolling 30 days · latest post in window 24 August 2026 |
|---|---|
| Posts held | 3 (16 August 2026 – 24 August 2026) |
| Views total | 1,900 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Aug 2026, 11:45 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
- 9s
- Average length
- 9s
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
💓💓💓💓💘💘💘💘 💓💓💓💓 💌 七夕如约而至,美好如期相伴。 ❤️银河迢迢,鹊桥相会,又是一年浪漫七夕。 ❤️❤️愿每一次相遇,都恰逢心动; 愿每一份真心,都不负深情; 愿有人与你共赏朝夕,也愿所有美好与幸运,都如期而至。 🩷浪漫不止七夕,美好常伴朝夕🩷 🤐❤️🤐🤐❤️🤐🤐❤️🤐🤐❤️🤐 😟😟😟😟 @KF2028KFVIP 😃😄😃😄 20280506.com
Channel created
Showing the 3 most recent of 3 posts we hold for @TY2028VIP9. 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 — 383,851 of 1,626,935entries 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.
Mentions
Named by 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@dianjingtuidan1 · 105,5886 postsMakati吃瓜社
@Makatichigua · 15,2336 postsMakati新闻社
@makatinews · 35,4955 posts🍉吃瓜中心&搞笑日常
@cggx33 · 59,8024 posts东南亚缅北新闻曝光电子
@newscn2 · 505,1574 posts吃瓜看戏㊙️搞笑视频
@zg5518 · 13,2224 posts东南亚头条事件大曝光
@adqqjmjj · 204,2183 posts点亮曝光吧🔍
@DLBGB · 597,6703 posts柬埔寨 菲律宾 越南 东南亚大曝光
@dny2023flb · 88,8773 posts西港日报快讯
@dny_xwdsj · 31,9543 posts东南亚日报
@DNYXWC · 42,9333 posts菲律宾金边PC赌博体育黑料
@Feilvbin1024 · 511,9893 posts国内吃瓜/国内事件/国内爆料/吃瓜频道
@lee_001122 · 81,7813 posts东南亚华人曝光
@MTGBG · 256,8943 posts缅甸缅北东南亚新闻曝光
@nx123 · 791,5513 posts【东南亚】曝光悬赏吃瓜
@YTT357 · 306,3333 posts卡斯兰卡大事件/马来西亚新闻
@YTT783 · 79,4313 posts文案馆向西走/头像/素材
@YTT786 · 88,4843 posts亚太求职/甩人/找工作
@YTT789 · 319,6973 posts华人第一资讯
@Dzx199 · 15,0092 posts东南亚华人热搜大事件事事通
@hrcgrj_001 · 159,6902 posts中文安危曝光🌸海外华人日记
@tghuarenba · 48,1472 posts东南亚国外新闻
@zdny66 · 98,9562 posts足球体育圈 中文推单频道(NBA·五大联赛每日竞彩红单推荐)
@tiyuquan · 97,3961 post
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“2028体育大玩家福利频道” (@TY2028VIP9), 6,007 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/TY2028VIP9.
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.