12 Jun 2021, 06:27 UTCviews —
每日快訊 pinned Deleted message
Channel
每日快訊
@everydaybaoliaonews
On this record: Growth · Engagement · Posts · Citations · Cite this entry
245subscribers
-5 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001435917723 |
|---|---|
| Type | Channel |
| Username | @everydaybaoliaonews |
| Created | Between 1 April 2019 and 16 March 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/everydaybaoliaonews |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 11:57 | 245 | -1 |
| 8 Sept 2026, 08:16 | 246 | -1 |
| 22 Aug 2026, 16:48 | 247 | -2 |
| 14 Aug 2026, 19:28 | 249 | -1 |
| 7 Aug 2026, 02:18 | 250 | no change |
| 6 Aug 2026, 21:21 | 250 | first reading |
Engagement
20 posts held, back to 16 March 2021 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 12 June 2021. An engagement rate over an empty window would be a number about nothing.
Recent posts
25 May 2021, 06:46 UTCviews —
每日快訊 pinned Deleted message
15 May 2021, 01:58 UTCviews —
每日快訊 pinned Deleted message
10 May 2021, 04:52 UTCviews —
每日快訊 pinned Deleted message
8 May 2021, 03:49 UTCviews —
每日快訊 pinned Deleted message
19 Apr 2021, 04:40 UTC≈2,420 viewsread 7 August 2026
Photo
比特幣最大的使用的地方叫深網 一般進行非法的交易 現在的比特幣被中共控制， 用來打擊美元， 並在深網運作，洗黑錢。 暗錢有比特幣， 明的有中共央行搞的虛擬貨幣 叫數位化的人民幣。 #郭文貴 2021年4月9日
18 Apr 2021, 00:09 UTC≈2,040 viewsread 7 August 2026
Photo
CCP想勸服所有的國家，把黃金存到中國 在美國儲放黃金是很少的利息， 中共給的許諾是你存一噸黃金，我給你一噸黃金等額美元的貸款 我讓你和我一起監管 #郭文貴 2021年4月6日
17 Apr 2021, 22:00 UTC≈1,340 viewsread 7 August 2026
Forwarded from @Cantonese_roomPhoto
中共對美國發動兩個最核心的計劃 從美國國債抽回其投資的資金 把美國股票、股市砸下去， 製造美國的金融股市危機，回到2008年， 這一切的成本，三千億美元就夠了 #郭文貴 2021年4月6日
14 Apr 2021, 15:20 UTC≈1,130 viewsread 7 August 2026
Forwarded from @Cantonese_roomPhoto
共產黨的計畫就是要對付日本、印度和英國 第一是歐洲的英國， 第二是日本， 第三是印度， 第四才輪到美國， 最後CCP一定跟俄羅斯翻臉 郭文贵 2021.4.6
11 Apr 2021, 02:33 UTC≈1,010 viewsread 7 August 2026
Forwarded from @Cantonese_room
https://gnews.org/zh-hant/1071512/
10 Apr 2021, 09:45 UTC≈1,060 viewsread 7 August 2026
⑤ Antibody-Dependent Enhancement (ADE): ADE refers to the general situation where certain antibodies generated from the infection of one viral variant may lead to harmful effects during reinfection by a different variant of the virus. ADE is a confirmed phenomenon in SARS, Dengue, and other viral infections. Studies have shown that ADE may exacerbate SARS-CoV-2 infections. While mutant variants of SARS-CoV-2 continue…
10 Apr 2021, 09:37 UTC852 viewsread 7 August 2026
② Neurological damage: Many COVID-19 patients also experience neurological damage, the reason for which is not known and has to be studied carefully. Interestingly, the template viruses ZC45 and ZXC21, upon their discovery, were shown by the PLA scientists to cause brain infections and inflammation in suckling rats. Coincidentally or not, the E protein, which is associated to neurotoxicity in coronavirus infection , …
Showing the 12 most recent of 20 posts we hold for @everydaybaoliaonews. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Mentions
Named by 1 registered channel — 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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“每日快訊” (@everydaybaoliaonews), 245 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/everydaybaoliaonews.
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.