Channel
@JustinWolfers
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003304417132 |
|---|---|
| Type | Channel |
| Username | @JustinWolfers |
| Description | Prof @ U-M Economics & Gerald R. Ford School of Public Policy|Fellow @ Brookings Institution|Intro Econ textbook author |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/JustinWolfers |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 07:32 | 2 | no change |
| 12 Aug 2026, 09:30 | 2 | first reading |
20 posts held, back to 30 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 page of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (30 May 2026 – 7 August 2026) |
| Views total | 3 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 07:32 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.
Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 10 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.
Wall Street firms can pay Truth Social $100,000 a month for early access to market-moving presidential posts. High-frequency traders get a head start. The money flows to a company where the president is the major shareholder. It's hard to imagine a clearer conflict of interest. newsletter.platypuseconomics.com/p/the-presiden
The mistake is thinking these tariffs mainly hurt Canada. They don't. Much of the cost ends up here at home, in the prices American households and businesses pay. newsletter.platypuseconomics.com/p/should-canad
If you love the written word, we've got you covered: ✍️ Substack — short essays, the news through an economist's lens https://t.co/9TqOzDXTlU
A really fun write-up in my hometown newspaper of what I'm trying to do with Platypus Economics, written with that charming Aussie directness I was blessed to absorb. Give it a read! https://t.co/WSKFsI1ESq
Trump ripped up NAFTA, replaced it with USMCA, then ripped that up too. The lesson is that markets have little reason to trust this president's signature. So Canada shouldn't accept pain today in exchange for promises about tomorrow. It should judge any deal by whether it serves Canada's interests now. newsletter.platypuseconomics.com/p/should-canad
As Trump returns to tariffs, it's worth checking out what we've gotten from the trade war so far.
If the president starts selling early access to his words, everyone else has a choice: pay too, or trade against people who know something you don't. And if enough people decide the game isn't worth playing, that's when markets stop working. newsletter.platypuseconomics.com/p/i-championed
Fewer people on food stamps is only good news if fewer people need help. That’s not what the evidence says. Unemployment was roughly flat, food prices rose, and surveys still show families struggling to afford enough to eat. newsletter.platypuseconomics.com/p/one-big-beau
The average SNAP recipient gets about $6 a day. That's not enough to live on. But when the car breaks down or work hours get cut, it can be the thing that keeps dinner on the table. This week's Diving In: newsletter.platypuseconomics.com/p/one-big-beau
People hear "tariff" and think the only effect is on imported goods. Not necessarily. Less competition is great if you're a monopolist, less great if you're a shopper. newsletter.platypuseconomics.com/p/why-trumps-n
This isn't just about Canada. It's a warning shot to every trading partner: even if you have a deal, retaliation may bring tariffs anyway. That makes deals less credible. newsletter.platypuseconomics.com/p/why-trumps-n
I spent years arguing that prediction markets should be legal. A recent conversation with @crampell made me revisit that view. From a White House insider making $100,000 on Kalshi to the rise of sports betting, here's why I'm marking my prediction-market enthusiasm to market. https://t.co/4iZv9Yu7a0
Showing the 12 most recent of 20 posts we hold for @JustinWolfers. 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.
Named by 3 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Justin Wolfers” (@JustinWolfers), 2 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/JustinWolfers.
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.