Channel
@phbignews
On this record: Growth · Engagement · Posts · Citations · Cite this entry
478subscribers
-18 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002412792101 |
|---|---|
| Type | Channel |
| Username | @phbignews |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/phbignews |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:14 | 478 | -18 |
| 8 Aug 2026, 04:19 | 496 | no change |
| 7 Aug 2026, 20:48 | 496 | first reading |
3 posts held, back to 6 June 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 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 6 August 2026 |
|---|---|
| Posts held | 3 (6 June 2026 – 6 August 2026) |
| Views total | 44 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 04:19 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.
混进东南亚扶手亚太，拜林，四大，三佛塔，交克，马来…捞女“艾菲”“欧元”“馨诺”宋佳佳干的漂亮你以为拉黑我就能解决所有事吗？一直逃避，你尽管美颜开的再强大也改不了你那94年的的脸，拿着我5.6万人民币去泰国打biubiu针你在怎么整高科技你年龄就在哪儿，还有这么多钱不还，微信飞机也给我拉黑就能解决事吗？你还记得你那时候刚打完胎偷去泰国我怎么对你的？坐了几天几夜的车我屁股坐起几个水泡你有安慰过我？或者关心过我吗？在你冷的时候我们睡牛棚的时候我把我最后的外套都拿给你穿，我说你瘦，你身体不好，你身体要紧可你知道我感冒了发烧了三四天，你怎么对我的，一直对我姐妹相称以后好了一定不会忘了你，各种客气话，吃住都是我拿的钱，再加我给你不下20000泰铢零花钱这我可以不算回国也给你1500人名币你说没吃饭钱我也不给你算，凭什么你欠我这么多觉得你宋佳佳该的？是世界欠你的还是我欠你的？对任何人都一副臭脸，见个男人就抱大腿，还翘自己闺蜜老公马来那个？我…
避雷 江西籍贯女骗子 英文名Yonnie人设包装加拿大留学生家里破产出来出来创业 假借投资名义跟你搞好闺蜜关系实施诈骗 传闻现人流窜中国新加坡马来混圈 投稿 @hugebignews
注意了‼️注意了‼️这是一个在四川成都市长期资金盘茶友会盘，六年长期资金盘骗取多少家庭钱财，骗的多少家庭亲离子散家破人亡，打着全国各地开茶会友名义拉人头，全国各省各市发展上线下线骗取钱财分工明确，这四个老女人以类聚全国各地拉人头骗取金钱，请国内的中老年人一定要注意这四个老女人，避免出现上当受骗家破人亡，打着怎样才能叫你夫妻增加感情信任，亲子和谐关系，孝敬长辈父母，最后叫你交费一节课从168元，到1688元到2688元到3688元到5000元为止，请问什么样家庭可以承受了这样的费用，基本上骗取的全是留守妇女和老人，每个月都要跟着她们四个老女人，全国各地跑酒店她们指定的入住自费至少7、8天洗脑课程，为了偷税漏税利用新人的支付宝账号收取每个新人加入费，每个新人加入费5万人民币一个人，六年的时间骗取钱财几十个亿人民币，导致n多个家庭外债累累，造成家庭破裂伤害极大，希望国内广大的朋友圈转发一下不要叫留守妇女老人在上当受骗了，希望中国人民公…
Showing the 3 most recent of 3 posts we hold for @phbignews. 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 — 1,481,676 of 1,550,164entries 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 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件曝光|菲律宾新闻” (@phbignews), 478 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/phbignews.
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.