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Channel

Man in America πŸ‡ΊπŸ‡Έ

@maninamerica

On this record: Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Cite this entry

30,691subscribers

-136 since we began measuring on 6 August 2026

Risers and fallers across the register Β· movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001340605787
TypeChannel
Username@maninamerica
Description"Wow, A Must See!" β€”President Donald Trump. Seth Holehouse is the host of Man in America and creater of the viral video "The Plot to Steal America" which was shared by President Trump and seen by hundreds of millions around the world.
Created1 February 2021 β€” measured β€” cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/maninamerica

Growth

30,69130,82730,7596 August 2026 β€” 30,827 subscribers6 August 2026 β€” 30,826 subscribers7 August 2026 β€” 30,814 subscribers8 August 2026 β€” 30,800 subscribers9 August 2026 β€” 30,794 subscribers10 August 2026 β€” 30,788 subscribers11 August 2026 β€” 30,757 subscribers12 August 2026 β€” 30,748 subscribers13 August 2026 β€” 30,744 subscribers14 August 2026 β€” 30,722 subscribers16 August 2026 β€” 30,706 subscribers17 August 2026 β€” 30,691 subscribers6 August 202617 August 2026
12 measurements spanning 11 days, net -136. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β€” snapshots are recorded only when a count changes, so gaps mean β€œno change observed”, never β€œinterpolated”. The vertical axis spans 30,671–30,847 and does not start at zero.
Measurement log β€” every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 16:0830,691-15
16 Aug 2026, 07:5530,706-16
14 Aug 2026, 18:3530,722-22
13 Aug 2026, 10:0630,744-4
12 Aug 2026, 08:0230,748-9
11 Aug 2026, 09:5330,757-31
10 Aug 2026, 10:4030,788-6
9 Aug 2026, 12:3330,794-6
8 Aug 2026, 13:5030,800-14
7 Aug 2026, 11:0230,814-12
6 Aug 2026, 13:0830,826-1
6 Aug 2026, 09:5330,827first reading

Engagement

27 posts held, back to 9 July 2026 β€” the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 26 pagesof Telegram’s post history, 20 posts per page.

ERR Β· 30 days
14.8%
avg views Γ· 30,691 subscribers
Avg views / post
4,550
20 posts measured
Reaction rate
1.36%
reactions Γ· views Β· ER floor
Posts in window
20
of 27 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) Γ· viewsβ€” 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.

What these figures were computed from
WindowRolling 30 days Β· latest post in window 16 August 2026
Posts held27 (9 July 2026 – 16 August 2026)
Views total91,030
Reactions total1,237
Forwards / commentsnot exposed by the public surface β€” not measured, not estimated
Readings taken18 Aug 2026, 01:14 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 β€œcorrecting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form β€” 8.12K, 3.7M β€” 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 β€” read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
β‰ˆ1,480
Videos
β‰ˆ363
Links
β‰ˆ1,740

Lifetime counters from Telegram’s own channel header, read 18 August 2026 β€” not the date at the top of this page, which is when the subscriber count was last read. A count marked β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints these counters in full below 1,000 and to three significant figures above, so β‰ˆ142,000 means somewhere between 141,500 and 142,499.

Reaction mix

1,720 reactions across 27 posts, in 20 distinct kinds. The most used accounts for 31.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
πŸ‘54831.9%
❀45226.3%
πŸ”₯27115.8%
πŸ™1428.26%
🀬744.30%
🀯382.21%
😈341.98%
😒321.86%
πŸ‘Ž271.57%
πŸ€”211.22%
πŸ’―181.05%
πŸ‘130.756%
😱130.756%
πŸ‘€120.698%
😭90.523%
πŸŽ‰40.233%
😁40.233%
🀣40.233%
😎20.116%
🀑20.116%

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 β€” πŸ™ is thanks in one channel and mourning in another β€” 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 β€” 4.34K, 1.2M β€” 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 27 of the 27 sampled posts in this sample. Summed by Telegram’s own count on each post β€” not by adding up the per-emoji breakdown above β€” those same posts carry 1,720reactions in total: the kind of figure the paragraph above means by β€œa reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 9 July 2026 to 16 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

16 Aug 2026, 20:51 UTCβ‰ˆ1,960 views52 reactionsread 18 August 2026
Photo

Today's live show is a special replay in memory of Linda Olsen, whose passing touched me deeply, so I'm honoring her legacy by bringing her voice back to you. How I Healed Thousands With Sound What if Nikola Tesla was right, and his frequency discoveries were quietly buried to keep you sick and dependent on Big Pharma? In this interview, former teacher and breast-health advocate Linda Olsen explains how sound, vibr…

πŸ‘28πŸ’―9πŸ™8❀4πŸŽ‰1πŸ”₯1😁1

15 Aug 2026, 21:44 UTCβ‰ˆ2,520 views45 reactionsread 18 August 2026
Photo

I have a specially edited episode for you this weekend. I hope you enjoy it! Erased History: Why They Destroyed the White city Why would you build something that magnificent just to destroy it? They built a city of domed palaces and towering halls, then tore it down in just a few years. In this episode, I dig into the strange, forgotten story behind America's World's Fairs and ask why these wonders of the world wer…

πŸ‘35πŸ€”6❀4

13 Aug 2026, 21:24 UTCβ‰ˆ3,040 views42 reactionsread 18 August 2026
Photo

Is the AI bubble about to trigger the biggest market reckoning since 2008? Stock Market PSYOP, AI Bubble & China's Gold Secret In this episode, I sit down with precious metals expert Micah Haines to break down why the Bank for International Settlements just warned that today's stock market is riskier than 2008, why the AI bubble sits at the center of that warning, and why China has been quietly buying physical gold…

❀23πŸ”₯12πŸ‘5πŸ€”2

11 Aug 2026, 23:41 UTCβ‰ˆ4,030 views78 reactionsread 18 August 2026
Photo

This is disturbing but we have to talk about it… 100k Dead in a Decade: Legal Murder is Coming to Your State Next I sit down with Alex Schadenberg, founder of the Euthanasia Prevention Coalition, to expose what's happening inside Canada's euthanasia program. We break down the real reason people ask to die, and it's rarely about pain. Canada has passed 100,000 deaths in under ten years, faster than any country befor…

πŸ”₯35🀬25😭9πŸ‘5❀3πŸ‘1

9 Aug 2026, 19:46 UTCβ‰ˆ4,280 views58 reactionsread 18 August 2026
Photo

You need to see what they're doing to get ahead in the AI race… LIVE: AI Companies Are Destroying Millions of Books... On Purpose | Sunday w/ Seth Millions of print books are quietly being bought, sliced apart, scanned, and thrown away, all to train the AI systems now shaping how the world thinks. Some of these books can never be replaced. This is a LIVE conversation. I want YOUR questions, YOUR angles, YOUR take.…

πŸ”₯39❀10πŸ‘5😱4

8 Aug 2026, 22:42 UTCβ‰ˆ4,210 views70 reactionsread 18 August 2026
Photo

I can’t hear classic rock the same way after this interview. Classic Rock’s Evil Roots: Satanism, the Occult & MK-Ultra β€œWe can sit down and listen to a three-hour speech delivered on the Senate floor, and probably it’s not going to do much for us. But a three-minute pop song can have enormous influence.” – Richard Syrett In this episode of Hidden History, I sit down with broadcaster and author Richard Syrett to e…

πŸ”₯32πŸ‘20❀10😒4😁2πŸŽ‰1πŸ‘1

6 Aug 2026, 21:04 UTCβ‰ˆ4,200 views54 reactionsread 18 August 2026
Photo

I asked him one question about data centers, and his answer changed how I see my own tap water. The Ugly Truth About AI Water Use In this episode, I sit down with Michael Dillon to reveal what's really behind the data center boom, and it has nothing to do with competing with China. STARTS AT 11:15 PM ET Rumble: https://jiii.io/jxh1sn

πŸ”₯41❀6πŸŽ‰2πŸ‘2πŸ‘2😱1

4 Aug 2026, 21:51 UTCβ‰ˆ4,820 views111 reactionsread 18 August 2026
Photo

50 years in prison for telling the truth? You need to hear this doctor's story. The DOJ is Destroying Doctors Who Questioned COVID He built one of the largest COVID testing operations in the country and watched with his own eyes as a proven treatment cured patients in minutes. He got citations from both political parties for saving lives. Then he spoke out, and the government turned on him. In this episode, Dr. Ron…

πŸ™65πŸ‘22❀10😒7🀬5πŸ”₯2

2 Aug 2026, 20:58 UTCβ‰ˆ5,360 views63 reactionsread 18 August 2026
Photo

The content in this episode is so important that I'm replaying the episode tonight. Make sure you don’t miss it! Tech Billionaires Want a Monarch in the White House (Replay) What if the real reason for Flock cameras and giant data centers isn't safety or convenience, but control? In this special deep dive, I trace this plan back nearly a hundred years, connecting the dots between the 1932 birth of technocracy, Sili…

πŸ‘32❀24πŸ”₯4πŸ‘Ž3

1 Aug 2026, 21:04 UTCβ‰ˆ4,960 views63 reactionsread 18 August 2026
Photo

This is the video they don't want going viral… The Technocratic Plot to Steal America and Everything You Own … Wake Up!! What if the real reason for Flock cameras and giant data centers isn't safety or convenience… In this special deep dive, I trace this plan back nearly a hundred years, connecting the dots between the 1932 birth of technocracy, Silicon Valley's sudden pivot toward Washington, and why data centers,…

πŸ‘35πŸ”₯15❀7😈5😱1

30 Jul 2026, 21:56 UTCβ‰ˆ5,010 views87 reactionsread 18 August 2026
Photo

He cloned himself for organs. He harvests his own child's blood to stay young. This is REAL. Watch this now. Inside the Secret Billionaire Anti-Aging Cult: Blood, Clones & Immortality w/ Kim Bright Billionaires like Bryan Johnson are taking blood from their own children and even cloning themselves to try to cheat death. In this episode, Kim Bright joins me to break down this dark quest for immortality, and the simp…

🀯38😈29πŸ‘€12❀6🀬2

28 Jul 2026, 21:04 UTCβ‰ˆ5,840 views68 reactionsread 18 August 2026
Photo

If you've ever wondered why bad people seem to end up in charge, you need to watch this one. PONEROLOGY EXPOSED: The Suppressed Science Proving Evil People Are Seizing Power w/ Dr. Tau Braun I sit down with clinical psychologist Dr. Tau Braun to expose the psychology of evil, revealing how "soul collector" psychopaths deliberately seek power just to cause as much harm as they can. He breaks down political ponerolog…

πŸ‘45❀12πŸ”₯11

Showing the 12 most recent of 27 posts we hold for @maninamerica. 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 β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints views in full below 1,000 and to three significant figures above, so β‰ˆ1,200,000 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 β€” 764,244 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below β€” republished posts weigh more than named mentions β€” 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 β€” a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

Named by 2 registered channels β€” 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 β€” that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason β€” 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 β€” the β€œNamed 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 17 August 2026 β€” this entry's latest reading, not the date you are reading this.

β€œMan in America πŸ‡ΊπŸ‡Έβ€ (@maninamerica), 30,691 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/maninamerica.

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 Β· 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.