The United States holds approximately 46 billion barrels of proven crude oil reserves. The Permian Basin in West Texas alone produces around 6.6 million barrels of oil per day—more than every OPEC member except Saudi Arabia. On a global scale, the United States is the world's largest oil producer, pumping approximately 13.6 million barrels per day. The U.S. is also the world's leading natural gas producer, account…

Channel
The Economist Telegram
@The_Economist_Telegram
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
668subscribers
+3 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 | -1001382569528 |
|---|---|
| Type | Channel |
| Username | @The_Economist_Telegram |
| Created | 11 November 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| 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/The_Economist_Telegram |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 06:25 | 668 | +2 |
| 6 Aug 2026, 16:40 | 666 | no change |
| 6 Aug 2026, 10:30 | 666 | +1 |
| 6 Aug 2026, 04:05 | 665 | first reading |
Engagement
16 posts held, back to 17 May 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 28.3%
- avg views ÷ 668 subscribers
- Avg views / post
- 189
- 4 posts measured
- Reaction rate
- 0.413%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 16 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 16 (17 May 2026 – 5 August 2026) |
| Views total | 755 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 16:40 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
18 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8 | 44.4% | |
| ❤ | 6 | 33.3% | |
| 🔥 | 4 | 22.2% |
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 10 of the 16 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 17 May 2026 to 5 August 2026, 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
Housing affordability isn't just a local issue—it's a global challenge. The home price-to-income ratio measures how many years of a median household's income are needed to buy a median-priced home. The global average is 11.2, but it ranges from around 3 in some countries to over 30 in others. Home prices alone don't tell the full story. Income growth, mortgage access, housing supply, and economic policy all play a …
Goldman Sachs oil price forecast @The_Economist_Telegram
China is rapidly expanding its money supply. Its M2 money supply has now reached nearly $50 trillion—more than twice that of the United States, even though China's economy is only about two-thirds the size of the U.S. economy. By itself, that statistic doesn't prove much. China's financial system is fundamentally different from America's, and a higher M2-to-GDP ratio is largely a structural feature of its banking s…
👍1
Money printing is not neutral. When an economy isn't generating real growth in goods and services, creating new money doesn't create new wealth—it simply redistributes existing wealth. Those who receive newly created money first can spend it before prices adjust. By the time that money spreads through the economy, prices have risen, leaving people with fixed incomes or those who receive the new money last with less …
🔥2
Since 1900, every major government-issued currency has lost purchasing power relative to gold. For the first time in history, all major currencies are fiat—backed by neither a commodity standard nor strict limits on money creation. But you don't have to rely solely on a fiat system; you can choose your own personal gold standard. Since 2010, central banks have been net buyers of more than 7,000 tonnes of gold, whil…
🔥2
First eventful order flow in weeks. Aggressive shorting into the 58k lows, twice. Unfortunately for bears, the retest coincided with spot sell pressure easing. All of this short OI has since been flushed. Notably, BTC remained strong today despite negative news of MSTR selling. @The_Economist_Telegram
❤2
The cost of using AI models is falling at an astonishing pace—faster even than the decline in the cost of personal computers. @The_Economist_Telegram
Freedom has many difficulties and democracy is not perfect. But we have never had to put a wall up to keep our people in, to prevent them from leaving us." - John F. Kennedy @The_Economist_Telegram
❤2
SpaceX shares, trading under the ticker $SPCX, have officially begun trading and are now changing hands at $160.83 per share — 19% above their initial public offering (IPO) price. This officially brings SpaceX’s market capitalization to $2.1 trillion, making it the seventh-largest publicly traded company in the world. ➖➖➖➖➖➖➖➖ @RezaMacroEdge
America Didn't Invent the Dollar Most people assume the U.S. dollar was invented by the United States. It wasn't. In fact, the dollar's story begins nearly 500 years ago with a silver coin called the *Joachimsthaler*, first minted in what is now the Czech Republic. Over time, the coin became known simply as the *Thaler*. Eventually, that name evolved into what we now know as the "Dollar." But that's not the most s…
❤2
The 60-year trend of oil prices and the impact of shocks on it. @The_Economist_Telegram
Showing the 12 most recent of 16 posts we hold for @The_Economist_Telegram. 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
Citation-graph rank — 78,703 of 1,480,975entries 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.
Forward network
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.
Mentions
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“The Economist Telegram” (@The_Economist_Telegram), 668 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/The_Economist_Telegram.
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.