Channel
@WhiteHouseIntel
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
14,346subscribers
-527 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003031286931 |
|---|---|
| Type | Channel |
| Username | @WhiteHouseIntel |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 October 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 29 October 2026 |
| On Telegram | t.me/WhiteHouseIntel |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Oct 2026, 20:41 | 14,346 | -6 |
| 28 Oct 2026, 22:46 | 14,352 | -4 |
| 27 Oct 2026, 19:08 | 14,356 | -6 |
| 26 Oct 2026, 15:19 | 14,362 | -21 |
| 25 Oct 2026, 12:16 | 14,383 | -17 |
| 24 Oct 2026, 14:44 | 14,400 | -3 |
| 23 Oct 2026, 14:44 | 14,403 | -5 |
| 22 Oct 2026, 12:19 | 14,408 | -2 |
| 21 Oct 2026, 04:51 | 14,410 | -9 |
| 19 Oct 2026, 23:51 | 14,419 | -6 |
| 19 Oct 2026, 02:28 | 14,425 | -7 |
| 18 Oct 2026, 02:28 | 14,432 | -14 |
| 16 Oct 2026, 23:21 | 14,446 | -1 |
| 15 Oct 2026, 22:28 | 14,447 | -13 |
| 14 Oct 2026, 23:20 | 14,460 | -9 |
| 13 Oct 2026, 19:10 | 14,469 | -34 |
| 10 Oct 2026, 00:58 | 14,503 | -20 |
| 5 Oct 2026, 18:35 | 14,523 | -21 |
| 30 Sept 2026, 06:59 | 14,544 | -20 |
| 18 Sept 2026, 00:39 | 14,564 | first reading |
55 posts held, back to 27 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 50 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 55 posts for this entry, the most recent from 2 September 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 45 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.
4,975 reactions across 55 posts, in 14 distinct kinds. The most used accounts for 32.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 1,635 | 32.9% | |
| 🔥 | 857 | 17.2% | |
| 👍 | 803 | 16.1% | |
| ❤ | 603 | 12.1% | |
| 🤯 | 434 | 8.72% | |
| 😱 | 267 | 5.37% | |
| 🙏 | 175 | 3.52% | |
| 🤔 | 124 | 2.49% | |
| 👀 | 31 | 0.623% | |
| 👏 | 28 | 0.563% | |
| ⚡ | 7 | 0.141% | |
| ❤🔥 | 6 | 0.121% | |
| 🕊 | 3 | 0.06% | |
| 🤩 | 2 | 0.04% |
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 55 of the 55 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 4,975 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 27 July 2026 to 2 September 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.
🔥 SAME TIMELINE AS THE RESET. 🔥 The video poses a single question: why does the rise of the Rothschilds coincide exactly with what she calls the fall of Tartaria? 1763: Mayer Amschel enters the family business. 1769: court factor. 1789: Manchester. 1810: Nathan in London. 1776: the year she calls "Great Reset." Same period. Same shift. Men digging in the mud between two walls. Waddesdon Manor. The Odd Fellows. Th…
❤9👍6
On August 3, 1977, Cathy O’Brien testified to the 95th U.S. Congress to accuse Hillary Clinton of rape, and that she was a sex slave for Hillary and Bill Clinton ‘who are bisexuals’ affiliated in an elite sex trafficking ring that abuse and purchase and sacrifice children. Join: @WhiteHouse✅️ ⚠️ FINAL WARNING: ACCOUNT AT RISK OF PERMANENT SUSPENSION ⚠️ We noticed that your account has not been properly linked to a…
👍26❤15💯4😱3🔥2
If you’ve been following this movement for any length of time, you already know the pattern. Important information appears in certain places first. Then it spreads. Then the original sources become harder to find. These five channels are currently among the most focused places for: • Med Bed Activation • Quantum Financial System • Juan O Savin • JFK Jr Command Center • Red Pill Project They are not general …
👍12❤4
The people who stay quiet and wait usually miss the important moments. The ones who stay connected and informed are the ones who understand what’s happening when things start moving faster. Right now, these channels are actively following the key pieces: • Med Beds and healing technology • The Quantum Financial System • Juan O Savin’s intelligence • The JFK Jr return narrative • The deeper Red Pill truth This…
👍14❤6
🚨 SHOCKING CONFIRMATION: Edison Research data just vaporized the “conspiracy theory” excuse. States using Dominion Voting Systems switched 435,000 votes from Trump to Biden. Dominion deleted 2.7 MILLION Trump votes nationwide — including nearly 1 million in Pennsylvania alone. This isn’t a glitch. This is industrial-scale vote erasure and flipping, documented in the raw data. The machines did exactly what patriots…
❤37🔥19👍10⚡7👏2
🔻 BREAKING: President Trump just stormed out to the Fake News and IMMEDIATELY started holding up photos of the child r*pists and m*rderers Tim Walz and Mayor Frey are defending in Minnesota GO OFF, 47! Don't hold back! 🔥🔥 "It's caused by the previous administration. Look!" "Boy. These are rough characters. These are all criminal, illegal aliens, in many cases m*rderers, drug lords, drug dealers. The mentally insan…
❤34🔥20👏10💯6👍5
Most people only see fragments. One day it’s Med Beds. The next day it’s QFS. Then someone shares a Juan O Savin update. Then the conversation shifts to JFK Jr again. The problem is that everything is scattered. These five channels bring the important pieces together: • Med Bed Activation • Quantum Financial System • Juan O Savin • JFK Jr Command Center • Red Pill Project Each one has a clear focus. Toge…
👍22❤7🔥1
A lot of people are tired of empty promises. They’ve been waiting for real movement on the things that actually matter — Med Beds, the Quantum Financial System, real intelligence, and the people who have been speaking the truth for years. That’s why these channels exist: • Med Bed Activation – Tracking the real status of Med Beds • Quantum Financial System – Updates on QFS and the financial reset • Juan O Savin …
👍29❤6🤔2🔥1
Denzel Washington: NYPD Covered-Up Taylor Swift 'Satanic Sacrifices' Involving Missing Kids Denzel Washington reclaimed his pulpit last night, but he didn't preach salvation. He preached war. He called Taylor Swift and Travis Kelce's wedding the most demonic gathering since Stanley Kubrick's dark Hollywood wake in 1999. He says children were offered that night. Join: @WhiteHouse✅️ ⚠️ FINAL WARNING: ACCOUNT AT RIS…
😱48💯25❤8🔥6👍4
This is what California Democrats don’t want you to see This is Kern County. It’s right above Los Angeles and it’s home to one of the largest concentrations of oil fields in the United States “It's the largest oil field in California, and it's produced more than three billion barrels” These oil fields are still producing oil today while California Democrats lecture everyone on going electric, they’re still making …
👍47❤21🤔12🔥6🤯1
‼️BREAKING‼️ ‼️THE MOST IMPRESSIVE VIDEO YOU WILL SEE TODAY‼️ The director of Pfizer CONFESSES under oath: Our mRNA-Covid-vaccines WERE NEVER TESTED for stopping virus transmission before they were rolled out to all of humanity. EVERYONE WHO FORCED VACCINATION MUST BE TRIED FOR GENOCIDE !!! Join: @WhiteHouse✅️ ⚠️ FINAL WARNING: ACCOUNT AT RISK OF PERMANENT SUSPENSION ⚠️ We noticed that your account has not been…
💯67❤9🔥7🤯4👏2
In 1999, CDC data showed BABIES getting the Hep B vaccine in their first 30 days had a 1,135% INCREASE IN AUTISM compared to those who didn't get the vaccine. They panicked, held a secret meeting at Simpsonwood with Big Pharma & regulators...then BURIED THE DATA. Join: @WhiteHouse✅️ ⚠️ FINAL WARNING: ACCOUNT AT RISK OF PERMANENT SUSPENSION ⚠️ We noticed that your account has not been properly linked to a verified…
🔥40😱21❤11🤯8🙏6
Showing the 12 most recent of 55 posts we hold for @WhiteHouseIntel. 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.
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.
@WhiteHouseIntel named 3 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.
References a handle that is not a live channel — we have no record it ever was one.
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 29 October 2026 — this entry's latest reading, not the date you are reading this.
“The White House” (@WhiteHouseIntel), 14,346 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/WhiteHouseIntel.
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.