Channel
@nytimes_world
On this record: Topic · Previous handles · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
7,773subscribers
+209 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001371277259 |
|---|---|
| Type | Channel |
| Username | @nytimes_world |
| Created | 7 November 2017 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/nytimes_world |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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.
Recorded in 2019 as “The New York Times World” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 13:38 | 7,773 | +31 |
| 16 Sept 2026, 23:41 | 7,742 | +37 |
| 13 Sept 2026, 11:38 | 7,705 | +43 |
| 9 Sept 2026, 19:58 | 7,662 | +39 |
| 4 Sept 2026, 02:54 | 7,623 | +18 |
| 31 Aug 2026, 16:02 | 7,605 | +10 |
| 29 Aug 2026, 02:17 | 7,595 | +7 |
| 25 Aug 2026, 17:15 | 7,588 | -4 |
| 22 Aug 2026, 19:12 | 7,592 | +9 |
| 19 Aug 2026, 19:55 | 7,583 | -3 |
| 16 Aug 2026, 21:58 | 7,586 | +3 |
| 13 Aug 2026, 06:38 | 7,583 | +3 |
| 10 Aug 2026, 09:42 | 7,580 | +12 |
| 6 Aug 2026, 23:52 | 7,568 | +4 |
| 6 Aug 2026, 07:19 | 7,564 | first reading |
46 posts held, back to 26 July 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 17 pages 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 46 posts for this entry, the most recent from 27 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 16 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Percentage of people who would fight for their country: 🇵🇰 Pakistan → 89% 🇻🇳 Vietnam → 89% 🇧🇩 Bangladesh → 86% 🇦🇫 Afghanistan → 76% 🇮🇳 India → 75% 🇫🇮 Finland → 74% 🇹🇷 Turkey → 73% 🇨🇳 China → 71% 🇮🇩 Indonesia → 70% 🇺🇦 Ukraine → 62% 🇷🇺 Russia → 59% 🇲🇽 Mexico → 56% 🇸🇪 Sweden → 55% 🇳🇬 Nigeria → 50% 🇧🇷 Brazil → 48% 🇵🇱 Poland → 47% 🇺🇸 US → 44% 🇦🇷 Argentina → 43% 🇩🇰 Denmark → 37% 🇨🇦 Canada → 30% 🇦🇺 Australia → 29% 🇫🇷 Franc…
The world's first data center made up of human brain cells is now operational. The prototype uses the computing power of 16,000,000 lab-grown human brain cells working in unison with 20 computers. Source. @aipost 🏴
Rome handed out free grain to 40,000 citizens in 73 BC. By 46 BC, Julius Caesar found 320,000 people lining up for their monthly ration. That eight-fold expansion happened in under three decades, and it shows you how welfare states actually grow. No Roman senator stood up and announced a plan to addict a third of the city to government bread. It happened incrementally, through political competition. Each magistrate…
❗️Harvard Business School launches AI “clones” of its professors to hear startup pitches, simulate sales calls, & run mock board meetings. HBS created AI versions of its faculty for a new $699 entrepreneurship bootcamp, allowing founders to practice investor pitches, sales conversations and boardroom scenarios with virtual professors available on demand. Harvard says the AI platform could expand its entrepreneurshi…
The purchasing power of $100 (2019 vs 2026) The Finance Journal 📈
“Read 500 pages every day. That’s how knowledge works. It builds up, like compound interest. All of you can do it, but I guarantee not many of you will do it.” - Warren Buffett The Finance Journal 📈
Warren Buffett shares advice on becoming successful The Finance Journal 📈
💰 Countries with the Highest Number of Billionaires: 1. 🇨🇳 China - 1,110 2. 🇺🇸 United States - 1,000 3. 🇮🇳 India - 308 4. 🇩🇪 Germany - 171 5. 🇬🇧 United Kingdom - 150 6. 🇨🇭 Switzerland - 114 7. 🇷🇺 Russia - 105 8. 🇧🇷 Brazil - 77 9. 🇨🇦 Canada - 75 10. 🇮🇹 Italy - 73 11. 🇫🇷 France - 71 12. 🇦🇺 Australia - 61 13. 🇸🇬 Singapore - 59 14. 🇮🇩 Indonesia - 44 15. 🇯🇵 Japan - 42 16. 🇹🇭 Thailand - 40 17. 🇰🇷 South Korea - 37 18. 🇸🇪 S…
"We should merge with them." Michio Kaku, theoretical physicist and futurist, says robots could eventually become as intelligent as humans, and we should merge with them. The next frontier of AI may not be replacing humans, but augmenting human intelligence. @aipost 🏴
🗣Jeff Bezos was asked about the AI bubble and answered with a story about people who lost everything. Bezos: “This is real. The benefits to society from AI are going to be gigantic.” Society, rather than shareholders. The example he reaches for makes the difference exact. Elkann: “If we go back 25 years ago, when the internet was in that bubblish moment, no one would have predicted a lot of the industrial benefits…
⚠️ AI boss just fired its first employee For the first time we know of, an AI boss has apparently fired a human. Andon Labs has been running Luna, an AI store manager operating a real shop in San Francisco. She can handle hiring, manage employees, create workplace policies and make day-to-day management decisions. Then one employee started showing up late. A lot. At one point, the employee opened the store 68 minu…
“The art of investment is the discipline of inaction in the absence of a good opportunity, but aggressive action when one is identified.” - Li Lu. The Finance Journal 📈
Showing the 12 most recent of 46 posts we hold for @nytimes_world. 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.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“The Wall Street Journal” (@nytimes_world), 7,773 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/nytimes_world.
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.