Telegram RegisterThe public register of Telegram

Channel

~The 17th Letter~

@ItsLetter17th

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,888subscribers

+16 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003732741059
TypeChannel
Username@ItsLetter17th
DescriptionYou will never guess who is talking to you here.
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/ItsLetter17th

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 77% 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 why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@MrPool_Q/44301 Aug 2026, 11:28 UTC@ItsLetter17th/350 · this entry1 Aug 2026, 19:44 UTC1.008.3 hours
@MrPool_Q/44342 Aug 2026, 17:01 UTC@ItsLetter17th/353 · this entry2 Aug 2026, 23:49 UTC1.006.8 hours
@MrPool_Q/44332 Aug 2026, 11:01 UTC@ItsLetter17th/352 · this entry2 Aug 2026, 11:02 UTC1.00under a minute
@MrPool_Q/44527 Aug 2026, 11:25 UTC@ItsLetter17th/363 · this entry7 Aug 2026, 12:14 UTC1.0049 minutes
@MrPool_Q/44353 Aug 2026, 00:06 UTC@ItsLetter17th/354 · this entry3 Aug 2026, 02:09 UTC1.002.0 hours
@MrPool_Q/44363 Aug 2026, 12:27 UTC@ItsLetter17th/355 · this entry3 Aug 2026, 17:58 UTC1.005.5 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@MrPool_Q12 (8/8 hand-verifiable sample passed)1.002.0 hours@MrPool_Q (120)
@The17Disciple5 (5/5 hand-verifiable sample passed)0.993 daysthis entry (50)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 12 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 28 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 5, the earliest publisher we hold is @ItsLetter17th — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

7,8727,8887,8807 August 2026 — 7,872 subscribers8 August 2026 — 7,873 subscribers11 August 2026 — 7,888 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net +16. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 7,870–7,890 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 12:367,888+15
8 Aug 2026, 06:377,873+1
7 Aug 2026, 17:177,872first reading

Engagement

26 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
78.0%
avg views ÷ 7,888 subscribers
Avg views / post
6,150
26 posts measured
Reaction rate
1.53%
reactions ÷ views · ER floor
Posts in window
26
of 26 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held26 (28 July 202612 August 2026)
Views total160,010
Reactions total2,442
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:00 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

Photos
25
Videos
24
Links
305

Lifetime counters from Telegram’s own channel header, read 12 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.

Video runtime
1m 49s
Average length
27s

Measured directly from 4 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

2,442 reactions across 26 posts, in 8 distinct kinds. The most used accounts for 59.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,45859.7%
🔥39216.1%
🙏27811.4%
💯24810.2%
👏391.60%
👍210.86%
🤯40.164%
🥰20.082%

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 26 of the 26 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 2,442reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 28 July 2026 to 12 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

12 Aug 2026, 13:05 UTC≈1,540 views19 reactionsread 12 August 2026
Video

Every system in your body is under attack. Poor circulation. Brain fog. Joint pain. Muscle tension. All at once. The MB Aura Mat is the only system that addresses all four simultaneously. PEMF. Red light. Near-infrared. Far-infrared warmth. Full body. All four. At the same time. BEFORE: Every system compromised. AFTER: Every system restored. Circulation. Mental clarity. Joints free. Muscles recovered. This is not

🔥106💯3

11 Aug 2026, 14:40 UTC≈3,670 views89 reactionsread 12 August 2026

🔻 THE ARCHITECT WHO BUILT THE CHAMBERS: A 2023 CONFESSION "I designed 7 of them. Seven subterranean medical facilities across the western United States. I was told they were 'emergency continuity shelters for senior government personnel.' That was a lie. They were healing centers. And they were never meant for you." I spent 19 years as a structural engineer and architect for a defense contractor that builds classif

56🔥19👏6🙏6💯2

10 Aug 2026, 11:14 UTC≈4,730 views113 reactionsread 12 August 2026

🔻 WHY TRUMP KNOWS WHAT NOBODY ELSE KNOWS: THE SECRET HIS UNCLE NEVER TOLD THE WORLD Donald Trump didn’t learn about quantum technology from a briefing. He learned it at the dinner table. January 7th, 1943. Nikola Tesla died alone in Room 3327 of the New Yorker Hotel. Within hours, the FBI seized every document, every notebook, every blueprint in that room. Truckloads. Classified immediately. Hidden from the world.

72🙏29💯7🔥5

9 Aug 2026, 15:31 UTC≈4,790 views52 reactionsread 12 August 2026
Video

🔻Your blood vessels are blocked. Your circulation is failing. Every cell in your body is starving for oxygen. This is not aging. This is a signal problem. The MB Aura Mat activates four technologies simultaneously across your full body. PEMF pulses restore electromagnetic flow. Far-infrared warmth dilates blood vessels. Red light rebuilds vascular tissue. Near-infrared reaches deep circulation. BEFORE: Constricted

38🔥8💯3🙏3

9 Aug 2026, 12:22 UTC≈5,380 views119 reactionsread 12 August 2026

🔻 WHAT THEY FOUND IN THE PENTAGON FILES: THE GENERAL WHO TRIED TO STOP TRUMP I know who he is. August 9th, 2026. 09:23 EST. The classified briefing landed on Trump’s desk. Not from the CIA. Not from the NSA. From the new Attorney General. Todd Blanche was confirmed 50-49. And his first act was to deliver a file that changed everything. The file had one name at the top. A four-star general. The one the media is ca

61🔥25🙏16💯15👏2

8 Aug 2026, 16:30 UTC≈8,380 views130 reactionsread 12 August 2026

🔻 BREAKING: THEY JUST ARRESTED 847 DEEP STATE OPERATIVES AND NOBODY IS TALKING ABOUT IT I know exactly what happened. August 8th, 2026. 14:47 EST. The order came down. Not a memo. Not a directive. A PRESIDENTIAL EXECUTIVE ORDER signed by Trump himself. OPERATION-FINAL-ACCOUNTING was activated. But here’s what the media won’t tell you: This wasn’t just about arrests. This was about EXPOSING the entire network. Th

74🔥26👏15💯8🙏7

7 Aug 2026, 12:14 UTC≈5,360 views91 reactionsread 12 August 2026

🔻 THE CLASSIFIED DOCUMENT THAT CHANGES EVERYTHING: THE MUNITIONS LEAK THAT EXPOSED DEEP STATE SABOTAGE I spent 31 years in military intelligence. I’ve never seen anything like August 6th, 2026. Trump ordered a LEAK PROBE. FULL PROSECUTION of anyone who leaked classified information about America’s munitions stockpile. The leaked document was about SABOTAGE. For decades, Deep State operatives embedded in the Pentag

62🔥21💯8

6 Aug 2026, 22:28 UTC≈5,480 views50 reactionsread 12 August 2026
Video

THEY BUILT THIS IN SECRET. For decades, the technology existed. Four separate systems — each one powerful on its own. PEMF. Red light. Near-infrared. Far-infrared warmth. Scientists knew what happened when they worked together. They never released it. Until now. The MB Aura Mat combines all four into one system. Full body. One controller. 20 minutes. Every day. PEMF resets your body’s electromagnetic field. Red

32🔥11💯7

6 Aug 2026, 14:53 UTC≈5,410 views100 reactionsread 12 August 2026

🔻 THE INTELLIGENCE OFFICER WHO WATCHED THE COMMUNIST INFILTRATION: THE TRUTH THEY’RE TERRIFIED TO REVEAL I spent 23 years in military intelligence. I watched it happen from the inside. And I’m telling you: communism isn’t just a political ideology anymore. It’s an ACTIVE INFILTRATION OPERATION that has systematically compromised the highest levels of American government. The White House just made an official statem

🔥4536💯10🙏9

6 Aug 2026, 12:44 UTC≈5,260 views101 reactionsread 12 August 2026

🔻You are divinely protected …. Nothing to fear … zero .. at all … ever… ⟁ https://t.me/ItsLetter17th

68🔥15🙏13💯5

5 Aug 2026, 15:11 UTC≈5,480 views105 reactionsread 12 August 2026

🔻 THE FBI WHISTLEBLOWER WHO BROKE THE CODE: THEY PLANNED TRUMP’S REMOVAL BEFORE THE INAUGURATION My name is redacted. My security clearance is still active. And I’m risking everything to tell you what I saw in the classified vaults beneath the Hoover Building. I was there. May 2, 2017. Four days after Comey was fired. I watched them open the file. I watched them name it. I watched them predicate it on a LIE. The i

65🔥21💯13🙏6

5 Aug 2026, 13:53 UTC≈6,400 views90 reactionsread 12 August 2026

🔻 THE INTELLIGENCE OFFICER WHO SAW THE PLAN: A 2026 TESTIMONY I worked eighteen years in intelligence. I saw things that would shock most Americans. But what I witnessed in the last ninety days has convinced me: the plan is real, and it’s working exactly as intended. In early July, I was in a classified briefing at the Pentagon when Todd Blanche was appointed Attorney General. The room went silent. Everyone knew wh

55🔥15👏9🙏6💯4🤯1

Showing the 12 most recent of 26 posts we hold for @ItsLetter17th. 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 — 141,375 of 1,151,006entries 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

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.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“~The 17th Letter~” (@ItsLetter17th), 7,888 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/ItsLetter17th.

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.