https://www.dailypost.vu/news/trade-commissioner-to-tokyo-waiting-for-his-diplomatic-passport/article_22fef938-99c8-50ee-840d-ce628fb4d08a.html
❤🔥1

Channel
@whitepaperevolution
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8,209subscribers
-36 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001878335287 |
|---|---|
| Type | Channel |
| Username | @whitepaperevolution |
| Created | Between 1 October 2022 and 30 September 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 | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/whitepaperevolution |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:15 | 8,209 | -10 |
| 10 Aug 2026, 14:56 | 8,219 | -22 |
| 7 Aug 2026, 10:28 | 8,241 | -4 |
| 6 Aug 2026, 20:46 | 8,245 | first reading |
20 posts held, back to 25 September 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 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 20 posts for this entry, the most recent from 19 April 2025. An engagement rate over an empty window would be a number about nothing.
215 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 43.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 93 | 43.3% | |
| ❤ | 69 | 32.1% | |
| 😁 | 22 | 10.2% | |
| 🤔 | 11 | 5.12% | |
| 🤮 | 9 | 4.19% | |
| 🤣 | 5 | 2.33% | |
| 🥰 | 4 | 1.86% | |
| ❤🔥 | 1 | 0.465% | |
| 🫡 | 1 | 0.465% |
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 19 of the 20 sampled posts 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 215reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 25 September 2024 to 19 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
https://www.dailypost.vu/news/trade-commissioner-to-tokyo-waiting-for-his-diplomatic-passport/article_22fef938-99c8-50ee-840d-ce628fb4d08a.html
❤🔥1
哥 我不甘心啊
👍13😁1
憑什麼我們被黑皮弄了好幾年 他又撈錢又撈名
❤19🥰1
王八蛋還發幣割兄弟們韭菜
👍18😁1
白紙革命怎麼了 為什麼司馬李穎發上幣了???
🤔10❤1
當年咱們搞白紙 戰友們拿命幹 被抓的被抓 這司馬玩意就發了幾個推 現在外面都說全靠他
👍21❤3😁3
兩年前就說了這個逼不是什麼好玩意兒,現在還沒多久就翻車了 家暴媽寶男李穎
😁15❤2👍2
被本频道拷打最多次的王菊花发表切割声明,已明确表示对李老师发行空气币的行为划清界限。 李老师最早不顾黄意诚等好友的劝阻,执意搞空气币圈钱,为自证清白去王菊花那边上节目,忘记了自己以前朋友的苦口相劝,直接将黄意诚当成敌人说对方“赚不到钱所以才背叛李老师”,把王菊当作了自己的亲朋好友,认为他会帮助李老师能够解围。 回顾以前本频拷打王志安的历史,大家都知道王志安是个坏逼,王志安知道李老师想上节目,正好是可以赚到流量的机会,可以加以利用。当节目结束后王志安面对李老师是在搞空气币的指责后,直接划清界限抛弃李老师说这些与我无瓜。 李老师什么也没得到,继续背负骂名流量反被王菊花收割一波,还毁掉了与好友和观众建立的长久关系。💀 补充引用某群友对 王志安 的评论:不得不说,王志安抬杠能力还是有点强,对面抬李币,他就提反对意见,对面踩李币,他就提正面意见,这样的效果就是会把两边的人都吸过来,就是让它们自己吵架。
❤6👍6
Photo, posted without a caption
❤2
Photo, posted without a caption
❤4👍4😁2
给李老师提供大量投稿的上海白纸运动抗争者黄意诚发表的声明: 【我与李颖割席的声明】 首先,我为自己过去曾经吹捧李颖、造神李颖的言论向公众与社群道歉。我恳请大家理解我过去所认识的「李老师」是一个真诚、温和、善良的人,但现在他在巨大的精神压力和金钱诱惑面前已经变质了,他已经不再是我过去所认识的那个人。我个人没有参与李币的策划、发行,也保证未来不会从这个项目中收取金钱好处。我不同意李颖发行李币的行为,也与所有不清不楚地为李币站台的大V割席,包括多伦多方脸、徐某人等人。未来我愿意接受媒体采访,揭露李币的问题(详情见后)。同时我也呼吁过去所有曾经为李颖站台的名人及时站出来为公众发声,这也是为自己止损。 我今天一直在听《没有理想的人不伤心》,里面说「那些为了理想的战斗,也不过为了钱。」或许这个在这个时代所有有理想的人都已经活不下去了吧?没有理想的人不会伤心,是因为他的心已经死了。死心的人自然不会伤心。 这个白纸运动,并不只是你李颖一个人的…
👍8❤4
骂了浪费我时间
Showing the 12 most recent of 20 posts we hold for @whitepaperevolution. 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 — 244,221 of 1,481,217entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
“白纸革命🅥” (@whitepaperevolution), 8,209 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/whitepaperevolution.
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.