Channel photo updated

Channel
Real Donald Trump
@realDonaldTrumpTwitter
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
213subscribers
-6 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 | -1001406642790 |
|---|---|
| Type | Channel |
| Username | @realDonaldTrumpTwitter |
| Created | 25 October 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 6 October 2026 |
| On Telegram | t.me/realDonaldTrumpTwitter |
Topic
Other / unclassifiable — 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 24 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Oct 2026, 04:40 | 213 | -2 |
| 24 Sept 2026, 23:21 | 215 | -1 |
| 11 Sept 2026, 01:35 | 216 | -1 |
| 2 Sept 2026, 20:34 | 217 | -2 |
| 26 Aug 2026, 16:03 | 219 | -1 |
| 19 Aug 2026, 12:46 | 220 | +1 |
| 7 Aug 2026, 03:30 | 219 | no change |
| 6 Aug 2026, 09:35 | 219 | first reading |
Engagement
20 posts held, back to 20 July 2022 — 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 21 November 2022. An engagement rate over an empty window would be a number about nothing.
Reaction mix
7 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 85.7% | |
| 👎 | 1 | 14.3% |
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 4 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 7 reactions 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 20 July 2022 to 21 November 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Channel photo removed
Channel name was changed to «Real Donald Trump»
#education 加拿大中小学生得了新冠还去上学吗?目前的政策是,学校不要求家长上报学生是否得了新冠,有症状回家休息,没症状了就可以返校,是不是新冠学校不关心,更没有义务向其他家长通报。校内室内也遵守省政府规定,并不要求戴口罩,事实上从学生到老师绝大多数也不戴口罩,戴了口罩的学生也一样会感染病毒回家休息。至于测核酸也从来没有要求过,自己在家使用rapid test kit的测试结果自己知道就行,学校也不想知道。虽然各省的政策自己制定,但总体上差别不大,大流行事实上已经结束了。
👍2👎1
Signed Sold Asis
#Social CBCNews对加拿大统计局的数据进行分析后得出以下几点:1。大量加拿大人从服务业、食品零售业转行到房产、金融保险等领域,寻求更好的收入是主要原因。2,3年来行业薪酬变化情况说明,在劳动力紧张的情况下,多数行业的薪酬都有较大提高,但制造业、食品服务和零售业的工资水平滞后严重,如果考虑生活成本的上涨,这些行业的工资水平甚至是下降趋势。3,劳动力市场紧张的主要原因,一方面是大流行期间55岁以上的人提前退休,本来就老龄化的社会工作者更少。另一方面,大量人员离职使得变为劳方市场,离职的主要原因是对原有工作不满意,这可能是受大流行的冲击。4,人口对劳动力供应的拖累将在未来几年持续存在,总体趋势是越来越没人干餐饮或酒店类工作,大家都在寻找金融或地产的从业机会,那怕只有一点相关性。
Signed Sold Asis
#Social 上周公布的 2021 年加拿大统计局人口普查数据显示 ,英法双语的加拿大人赚的钱更多。英法双语的人的平均年收入为 60,550 加元,比只会说英语的人的平均收入 55,250 加元高出近 10%,比只会说法语的人的平均收入 43,040 加元高出约 40%。单独看多伦多,只会说英语的员工平均收入为 59,600加元,而会说英法双语的员工平均收入为 78,400 加元,相差近 32%。再看法语区蒙特利尔,会说英法双语的人比只说其中一种语言的人收入高出 40%。但是依据数据,双语人才尽管有更高的收入,但会说英法双语的加拿大人比例在除了魁北克以外的所有省份都在下降。
Signed Sold Asis
https://t.me/NorthAmericans
Signed Sold Asis
#Social 最近北美人在围观CNN报道的一个中国人润到美国之路。这次采访不同之处在于,在当事人王群在中美国家向美国走的路上,CNN就已经跟踪采访他了,而王群本人也在路上向墙内中国人公开自己的行踪,这让偷渡这件事在Biden时代变成正大光明。王群自称2008年高中毕业,做过网店,奶茶店都没有成功,离婚后把孩子留给父母并按照QQ群的指导,拿到厄瓜多尔语言学校的offer后合法进入基多,并与南美难民一起北上,在墨西哥边境自己骑摩托车寻找边境墙缺口并自己进入美国。王群进入美国之后主动向边境管理处报道并申请政治庇护,在临时关押几天后自由,考驾照逛小店等都在CNN的镜头下公开。他陈述政庇是因为看了网上的64视频后非常气愤,再加上疫情清零等,但这些理由能获得政庇可能性很低,他似乎也并不担心。而Pelosi访台也帮了他,因为中国不再与美国合作接收遣返中国的偷渡客。虽然王群的经历有点大胆而传奇,但这条润之路并不值得效仿。
Signed Sold Asis
#Car 关于电动车行业趋势的几条信息。1,中美交恶后,中国动力电池全球霸主宁德时代放弃在墨西哥靠近德州的边境上建设动力电池厂的计划,改投欧盟刺头,在有一票否决权的匈牙利建设欧洲电池基地。2,富士康收购美国俄亥俄州一家铁锈汽车总成厂,大举进军电动汽车代工领域,这也是把苹果模式复制到电动车领域的一次重要改革与尝试。3,如果富士康成功了,传统汽车领域未来干啥?可能的出路有三个,一是跟不上新能源脚步彻底出局,二是沦为富士康一样的代工厂。三是进阶到苹果模式,只负责产品设计和品牌管理与营销,成为代工厂的上游。4,电动车领域已经形成中美对抗的局面。中国把贵金属列为国家战略抢占了全球一半以上资源,美国从源头上严防中国模式的渗透。日韩边缘化,欧洲对中国不设防。
👍1
Signed Sold Asis
#Social 加拿大十个主要省份显性少数民族分布情况,(不算原住民,第一民族不是少数民族,是主要民族)。各省第一显性少数民族占比(占全省所有显性少数民族人口的比例)和第二少数民族人数。显示出来的规律是三大区域内趋同:草原省大致相当,东部海洋省和奎省大致相同,ON与BC大致相同。另外单从占比来看,中国人比例最大的省是PEI,单从数量来看,自然是ON最多,其次是BC。总体来看,Chinese, Black, Pilipion, South Asian, Arab,是加拿大的主要显性少数民族。
Signed Sold Asis
#House 加拿大十个主要省份房屋建造年代概况。1980年之前造的房子占比越高,城市整体越老旧,从而决定了市政与交通越落后。MB有61.42%的这种老房子,而AB省只有40.41%
Signed Sold Asis
#Social 加拿大统计局发布第一季度劳动力市场报告,全国有近90W的岗位空缺,空缺率5.2%,平均时薪21.45加元。另外从省份来看,人口大省同时也有较高空缺率,这情况与联邦希望移民去偏远省份的政策有点矛盾了。
Signed Sold Asis
Showing the 12 most recent of 20 posts we hold for @realDonaldTrumpTwitter. 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
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.
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 6 October 2026 — this entry's latest reading, not the date you are reading this.
“Real Donald Trump” (@realDonaldTrumpTwitter), 213 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/realDonaldTrumpTwitter.
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.