Channel
@yangguang
On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
4,763subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001913861223 |
|---|---|
| Type | Channel |
| Username | @yangguang |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/yangguang |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 01:06 | 4,763 | -1 |
| 7 Aug 2026, 00:10 | 4,764 | no change |
| 6 Aug 2026, 19:48 | 4,764 | first reading |
1 post held, back to 28 December 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 7 pagesof 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 1 post for this entry, the most recent from 28 December 2024. An engagement rate over an empty window would be a number about nothing.
2,382 reactions across 1 post, in 11 distinct kinds. The most used accounts for 50.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,200 | 50.4% | |
| 👍 | 434 | 18.2% | |
| 🥰 | 155 | 6.51% | |
| 🤮 | 134 | 5.63% | |
| 🔥 | 85 | 3.57% | |
| 👏 | 70 | 2.94% | |
| 👌 | 65 | 2.73% | |
| 😁 | 64 | 2.69% | |
| 😢 | 59 | 2.48% | |
| 🎄 | 58 | 2.43% | |
| 😱 | 58 | 2.43% |
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 1 sampled post 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 2,382reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1 most recent post we hold, published 28 December 2024 to 28 December 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
😀😀😀最大的新闻爆料联盟 @daka 🔥表情包百万用户遍布全网 🔥一千个引流频道随处可见 🧐全网最新最快最全东南亚资讯，寻人|互助|曝光|悬赏|反诈|揭秘|，专注于重大新闻和突发事件发布，揭秘各大园区黑暗内幕，扶手、狗推、盘总聚集地。 ⚡️阳光新闻 @yangguang 三年老牌知名东南亚媒体 ⚡️柬中时报 @cctimes 柬埔寨最具影响力和公信力的华人新闻媒体。 ⚡️华人大事件 @dashijian 巨资打造 ✔️正版大事件品牌，其他大事件均为假冒！ ⚡️博牛新闻 @boniu 服务东南亚华人11年，与博度齐名，东南亚最知名的新闻媒体。 ⚡️人民日报 @renmin 东南亚实时新闻全天更新，不错过每一个大瓜！ 🏅流量来源介绍 🏅表情包&emoji 🏅电报百科导航 😊😊😊😊😊😊😊😊😊😊😊 😀😀😀😀😀100%包出款 已在阳光上押100万U👍点击立即游戏😲
❤1,200👍434🥰155🤮134🔥85👏70👌65😁64
Showing the 1 most recent of 1 post we hold for @yangguang. 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.
@yangguang edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 106,930 of 1,160,990entries 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.
Named by 20 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“阳光集团 阳光新闻 大咖联盟” (@yangguang), 4,763 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/yangguang.
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.