The USA struck a great deal with respect to the Gordie Howe Bridge. Before this deal we got NOTHING. Now, the U.S. gets 50% of net revenues until 2041 and a say in setting the tolls. Our share is before interest and principal. This is the Art of the Deal in action.

Channel
Howard Lutnick
@howardlutnick
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
9subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002670159818 |
|---|---|
| Type | Channel |
| Username | @howardlutnick |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/howardlutnick |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 00:23 | 9 | +1 |
| 12 Aug 2026, 16:01 | 8 | no change |
| 7 Aug 2026, 18:31 | 8 | first reading |
Engagement
17 posts held, back to 21 November 2025 — 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
- 155.6%
- avg views ÷ 9 subscribers
- Avg views / post
- 14.0
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 17 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.
| Window | Rolling 30 days · latest post in window 20 July 2026 |
|---|---|
| Posts held | 17 (21 November 2025 – 20 July 2026) |
| Views total | 42 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:01 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.
What this channel posts
- Video runtime
- 3m 21s
- Average length
- 1m 07s
Measured directly from 3 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.
Reaction mix
14 reactions across 11 posts, in 2 distinct kinds. The most used accounts for 78.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 78.6% | |
| 👍 | 3 | 21.4% |
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 11 of the 17 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 21 November 2025 to 20 July 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
Photo, posted without a caption
Photo, posted without a caption
Great spending time with the world’s greatest innovators. They are all right here in the United States. America leads in innovation and entrepreneurship always.
❤2
Incredible to be with @SteveScalise to speak at Mardi Gras in Washington DC. The Trump administration is proud to support the great state of Louisiana!
👍1
For the first time in over two years the United States has delivered manufacturing expansion, all thanks to President Trumps trade policies. Tariffs are working as we said strengthening American manufacturing while reducing imports. Once again, the so-called experts were wrong.
❤1
Great spending time with Varun Chandra in Davos, now serving as the new UK Trade and Investment Envoy to the U.S. Varun played an essential role in our historic UK trade deal. I look forward to continuing to work together as we move forward with implementation.
Appreciated today's important discussion with @ShawnFainUAW. America’s autoworkers are central to this administration's efforts to bring auto manufacturing back to the U.S. The support of the @UAW and their members makes this mission ever more vital.
❤1
Venezuela was once a great, rich and dynamic country. Abundant natural resources starting with enormous reserves of oil and natural gas. Hundreds of millions of tonnes of nickel and bauxite, thousands of tonnes of gold, with a great concentration in the Orinoco Mining Arc, one of the largest mineral and mining regions in the hemisphere. Maduro didn’t unlock prosperity. He destroyed it. He crushed his people while s…
❤1
In 2026, the United States of America will be ascendant. We will see the launch of the greatest manufacturing boom in history, creating hundreds of thousands of new jobs across our nation. This massive growth begins with construction jobs, which roll into high-tech manufacturing positions across industries and our nation. This new growth will employ millions of workers in great, high-paying jobs. The era of non-produ…
👍1
America is going to WIN the AI race and drive down energy costs at the same time. The Trump administration is laser focused on making sure those who build data center power plants also contribute energy to the grid reducing energy costs for the local community.
https://www.wsj.com/opinion/trump-administration-broadband-deregulation-commerce-arielle-roth-a6f1d1e8?st=E3oR3C&reflink=article_copyURL_share At the Department of Commerce, we are fixing the broadband mess left behind by the Biden administration. That means putting an end to arrangements that were trying to send tens of billions of taxpayer dollars to massively wasteful, complete rip-off projects run by powerful l…
👍1
Showing the 12 most recent of 17 posts we hold for @howardlutnick. 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 — 341,178 of 1,480,688entries 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.
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.
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@howardlutnick named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 13 August 2026 – 13 August 2026
named in 1 post, 13 August 2026 – 13 August 2026
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Howard Lutnick” (@howardlutnick), 9 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/howardlutnick.
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.