Channel
@pelosi333
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
652subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002484130703 |
|---|---|
| Type | Channel |
| Username | @pelosi333 |
| Created | 6 September 2024 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/pelosi333 |
Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 20 September 2026 and assigned it the closest of 31 fixed categories, at 89% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 07:40 | 652 | +1 |
| 5 Sept 2026, 12:39 | 651 | -3 |
| 22 Aug 2026, 07:18 | 654 | +3 |
| 14 Aug 2026, 03:26 | 651 | -1 |
| 7 Aug 2026, 19:30 | 652 | -1 |
| 6 Aug 2026, 22:30 | 653 | no change |
| 6 Aug 2026, 22:25 | 653 | first reading |
10 posts held, back to 6 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 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 10 posts for this entry, the most recent from 10 September 2024. An engagement rate over an empty window would be a number about nothing.
52 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 40.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 21 | 40.4% | |
| 👍 | 15 | 28.8% | |
| ❤ | 9 | 17.3% | |
| 👏 | 6 | 11.5% | |
| 🐳 | 1 | 1.92% |
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 7 of the 10 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 6 September 2024 to 10 September 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.
柯文哲案在中国大陆根本算不上什么复杂的案件。举一个例子，让台湾人「开眼界」：北京市前副市长刘志华与柯文哲一样，在房地产开发方面大搞权钱交易。压垮刘志华最后一根稻草，是中共国安部副部长马建亲自部署秘密拍下刘市长与情妇的「小电影」。马部长拍「小电影」并非因公，而是为其利益关系密切的开发商报私仇。 如果柯文哲案发生在中国大陆会怎样？ 1）不容易败露。中国下级官员不会违抗上级命令，更不会在「论证会」界定上级要求做的事涉嫌违法，更不会留存上级违法的证据。 2）办案更简单。按中共选择性反腐常规手段，柯文哲会被「双规」或留置，不可能见律师；同时，中共会把柯文哲老婆、儿子抓起来，「软肋」迫使柯文哲招供。
😁8❤6
对一个海外投资机构来说，想要研究中国有多难，你可能不知道。经济数据和实际体感严重背离，这导致了对任何官方发布的经济数据你都不能完全相信和依赖，来自中国机构的每一篇研究报告全部都是稳中向好，一片大好。 然后你就得自己去找数据，然后你就发现，你之前能轻易获得的数据，现在要么是不再提供了，要么是不卖给外国人了，什么消费高频数据，什么外资流出数据，现在全没了。 甚至你和中国的同行交流都变得越来越困难，因为担心数据合规问题，几乎没有中国机构愿意和你共享数据。连天眼查之类的都无法查看。甚至许多政府网站在海外都无法打开。请问一个外资机构，如何投资中国，如何吸引外资？
👍12😁4❤1
大选年是不是回报真的好？看了一下数据，我并不是带着证明观点去的，而是为了验证观点。为什么我只用了大选后2个月，也就是11月和12月股市的回报，因为我关心今年年底会不会有行情。所以结论如下 1. 从1996年大选年到2023年正好7个周期，28年，带上了3次衰退 2. 大选年11月，12月的两个月的回报平均数是2.7%，非大选年的平均回报是3.8% 3. 如果看中位数，大选年11，12月的回报是5%，非大选年仍然是3.8% 4. 似乎结果没法证明今年11，12月一定会比往年更好，但是平均回报这两个月还是不错的
❤1
今年上半年，31个省级行政区中，除了上海盈余703亿元之外，其他省份的地方财政均入不敷出 国内有2/3的地方政府未偿债务，1/3连偿付所欠债务的利息都面临困难，目前只能依靠发债缓解燃眉之急。据高盛集团去年8月估算，中国地方政府的负债规模高达94万亿元。
😁6
熟悉的炒作套路。 2008年就炒作过当时的世界首富比尔盖茨租他的盘古大观空中四合院。 2024年直接变成现在的世界首富马斯克买霄云路8号的空中四合院。
👍3❤1🐳1
習主席兩手抓，兩手都很硬：一手抓「砸鍋賣鐵」，一手抓500億美元大撒幣。有氣魄、有膽量
😁3
美帝制裁认证过的才是真实力
👏6
Channel photo updated
Channel photo updated
Channel created
Showing the 10 most recent of 10 posts we hold for @pelosi333. 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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“敏感政经信息分享” (@pelosi333), 652 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/pelosi333.
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.