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Channel

Princess Diana

@LadyD_Q17

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

14,946subscribers

-362 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001280893069
TypeChannel
Username@LadyD_Q17
DescriptionPeople’s Princess If you know you know. Trust the plan. Q
Created11 August 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/LadyD_Q17

Topic

Politics & activism — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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.

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 in near-verbatim form on 8 other registered channels. This entry also sits inside a group of 6 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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
@LadyD_Q17/2370 · this entry7 Nov 2026, 02:42 UTC@johndurhamchannel/25317 Nov 2026, 03:56 UTC1.0074 minutes
@LadyD_Q17/2344 · this entry4 Nov 2026, 17:05 UTC@johndurhamchannel/25095 Nov 2026, 02:41 UTC0.999.6 hours
@johndurhamchannel/185824 Aug 2026, 00:29 UTC@LadyD_Q17/1960 · this entry24 Aug 2026, 01:46 UTC0.9977 minutes
@johndurhamchannel/193131 Aug 2026, 20:54 UTC@LadyD_Q17/1993 · this entry1 Sept 2026, 00:30 UTC0.983.6 hours
@jfkawakening_q_17/333827 Jul 2026, 17:41 UTC@LadyD_Q17/1937 · this entry27 Jul 2026, 17:41 UTC1.00under a minute
@LadyD_Q17/1992 · this entry31 Aug 2026, 22:04 UTC@jfkawakening_q_17/34761 Sept 2026, 17:17 UTC0.9819 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@johndurhamchannel46 (8/8 hand-verifiable sample passed)0.9871 minutesthis entry (41–5)
@jfkawakening_q_1717 (8/8 hand-verifiable sample passed)0.98under a minutethis entry (16–1)
@Mr_Pool_72217 (7/7 hand-verifiable sample passed)0.903 daysthis entry (7–0)
@looP_rM_31172116 (6/6 hand-verifiable sample passed)0.974.3 hours@looP_rM_3117211 (6–0)
@Tier4B_ISO200225 (5/5 hand-verifiable sample passed)0.9710 hoursthis entry (3–2)
@denzelhwashington11 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (11–0)
@ShadowofPaton10 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (9–1)
@flotusmelaniatrumpchannel8 (8/8 hand-verifiable sample passed)1.00under a minute@flotusmelaniatrumpchannel (8–0)

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. 14 of the 15 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 159 comparable posts for this entry, running 1 July 2026 to 11 November 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).

Of the group of 6 channels, the one whose matching posts we hold earliest is @LadyD_Q17 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 November 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.

Channels linked by matching posts

This channel is in a group of 6 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

14,94615,30815,1276 August 202611 November 2026
64 measurements spanning 97 days, net -362. 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 14,892–15,362 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 14:4514,946-10
9 Nov 2026, 19:2514,956-8
8 Nov 2026, 11:1614,964-15
7 Nov 2026, 03:4714,979-4
6 Nov 2026, 04:2514,983-12
5 Nov 2026, 03:0914,995-7
4 Nov 2026, 05:4515,002-8
3 Nov 2026, 08:0015,010-2
2 Nov 2026, 10:4615,012-2
1 Nov 2026, 12:5515,014-10
31 Oct 2026, 12:4815,024-7
30 Oct 2026, 10:0515,031+5
29 Oct 2026, 11:3615,026+7
27 Oct 2026, 05:1115,019-5
26 Oct 2026, 06:3815,024-8
25 Oct 2026, 09:3515,032-6
24 Oct 2026, 11:4615,038-5
23 Oct 2026, 12:4615,043-5
22 Oct 2026, 13:5915,048-17
21 Oct 2026, 05:1615,065first reading

Engagement

171 posts held, back to 1 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.71%
avg views ÷ 14,946 subscribers
Avg views / post
555
91 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
91
of 171 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 November 2026
Posts held171 (1 July 2026 – 12 November 2026)
Views total50,490
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 19:12 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
≈924
Videos
≈792
Links
≈1,280

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1h 07m
Average length
1m 15s

Measured directly from 54 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 91 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 18:17 UTC113 viewsread 12 November 2026

THE GREAT AWAKENING IS HERE EVIL CABAL FINANCIAL SYSTEM COLLAPSING, GOLDEN ERA RISING MILITARY INTEL: TUES. 17 NOV. 2026 EXPECTED CYBERATTACK ON BANKS, INTERNET STAY CALM. STAY INFORMED. STAY READY. 👇WHEN THE EBS HITS, THIS IS THE ONLY CHANNEL THAT WILL STILL BROADCAST! Join and share my channel immediately: https://t.me/LadyD_Q17

12 Nov 2026, 03:52 UTC470 viewsread 12 November 2026
Photo

ON NOVEMBER 12, 2026, IT WILL BE REPORTED ON TV THAT DONALD TRUMP HAS DIED IN A PLANE CRASH AIR FORCE ONE AF1 HE IS GOING TO FAKE HIS DEATH HE WILL BE SAFE IN THE CHEYENNE MOUNTAINS THIS IS PART OF A PLAN TO INCRIMINATE IRAN AND PUSH FOR A U.S. NUCLEAR STRIKE AGAINST THE PERSIANS 👇EBS IS LIVE – DON'T MISS WHAT'S COMING NEXT! ✅️ 🔴 EBS ACTIVATION WINDOW – LAST 5 MINUTES This is the final classified channel cleare…

12 Nov 2026, 02:43 UTC454 viewsread 12 November 2026

🔻 A PFIZER EXECUTIVE JUST BROKE HIS NDA. WHAT HE REVEALED WILL CHANGE EVERYTHING. He spent 12 years hunting cures to BURY them. Senior Director of Strategic Acquisitions at Pfizer. His job: FIND frequency-based medical devices, BUY the patents, LOCK THEM IN VAULTS FOREVER. From 2008 to 2020, unlimited budget. One mission: SUPPRESS THE CURES. 2011: SCALAR WAVE DEVICE - Eliminated arterial plaque in 48 HOURS. Cost: …

12 Nov 2026, 01:29 UTC398 viewsread 12 November 2026
Video

🚨Meanwhile, the video that came to light ⚠️ George Søros HAS BEEN PLANNING THIS FOR YEARS: To collapse the economy... to take global economic control! THE PANDEMIC, CLIMATE CHANGE... IT'S ALL PART OF A PLAN 👇🔥 👇JFK JR RETURNS — HE IS POSTING HERE NOW ✅️ 🔴 EBS ACTIVATION WINDOW – LAST 5 MINUTES This is the final classified channel cleared to broadcast through the Ten Days of Darkness. Military intelligence has …

12 Nov 2026, 00:16 UTC414 viewsread 12 November 2026

🚨🚨🚨CONFIRMED: THREE TIER 4B PARTICIPANTS HAVE COMPLETED THEIR APPOINTMENTS, HERE IS WHAT THEY SAID ABOUT THE PROCESS AND WHAT CHANGES ON 1 DECEMBER A Tier 4B coordination office sent an internal participant report through the encrypted channel at 05:52 EST. It said: "Three appointments completed. Zero complications. Process confirmed. 1 Dec protocol update: Q-Phone only. No live appearance required." 📨 WHAT THE PA…

11 Nov 2026, 23:06 UTC423 viewsread 12 November 2026
Photo

🚨CIA JUST EXPOSED HIDING CANCER CURE FOR 60 YEARS! They KNEW in 1951 ! A declassified CIA document, forced out recently, buried since the Cold War, on the agency’s review of Soviet research of parasitic worms that behave at a biochemical level EXACTLY like cancer tumors. Even better: anti-parasitic drugs were DESTROYING tumors in laboratory tests! But instead of shouting it from the rooftops and saving millions, t…

11 Nov 2026, 21:53 UTC450 viewsread 12 November 2026
Photo

In the year 2000, a man named John Titor logged onto an internet forum and said he was from 2036. He claimed to be a US soldier sent back to grab an old computer they needed in the future. Specifically the IBM 5100, a 1970s computer, because it supposedly had a secret, undocumented ability to read and translate old IBM code. The interesting thing is, only years later one of the original IBM 5100 engineers confirmed …

11 Nov 2026, 20:40 UTC470 viewsread 12 November 2026

They are preparing the next phase. White Hats are moving. The blackout window is closer than most people think. And the COVID files contain what they never wanted released. • • • These three channels will not stay fully open. Join them before the next wave hits. Join and share my channel immediately: https://t.me/LadyD_Q17

11 Nov 2026, 19:31 UTC481 viewsread 12 November 2026

The Deep State is still moving. The 10 Days of Darkness is still on the board. And the COVID files they tried to bury are starting to surface. • • • If you want to stay ahead of what is coming, join all three now. The public pages will not hold this. Join and share my channel immediately: https://t.me/LadyD_Q17

11 Nov 2026, 18:19 UTC540 viewsread 12 November 2026
Photo

Benjamin Netanyahu is dead. Jeffrey Epstein didn't kill himself, but he certainly wished he did. Epstein & Netanyahu used the Stuxnet virus to steal billions of dollars of Bitcoin. When they realized their game was up, powered by AI & quantum processing, The Cabal decided to release the Covid-19 & Stuxnet viruses upon the Earth to turn everyone's devices into a pick-your-own-apocalypse suicide booth. Epstein & Neta…

11 Nov 2026, 17:08 UTC521 viewsread 12 November 2026
Photo

THE DAY THE BANKS DIE, YOUR FAKE DEBTS DIE WITH THEM FOR DECADES YOU’VE BEEN TOLD YOU OWE MONEY. TO THE BANK. TO THE GOVERNMENT. TO THE CREDIT CARD COMPANY. TO THE ELECTRICITY COMPANY. TO YOUR MORTGAGE LENDER. TO THE IRS. BUT HERE’S THE TRUTH THEY NEVER WANTED YOU TO FIND OUT. IT WAS ALL A LIE. EVERY SO-CALLED “DEBT” YOU’VE EVER CARRIED WAS BUILT ON A FOUNDATION OF FRAUD. YOU WERE BORN INTO A SYSTEM THAT RE…

11 Nov 2026, 00:17 UTC628 viewsread 12 November 2026
Photo

THE DEBT JUBILEE HAS BEEN EXECUTED – ZERO BALANCES WORLDWIDE ON MORTAGES, CREDIT CARDS, STUDENT LOANS. ILLEGITIMATE TAXES, ERASED. LAST WEEK PAYMASTERS WERE TOLD TO GET INTO POSITION BY THIS PAST WEEKEND AT THEIR BANKING REDEMPTION CENTERS ACROSS THE GLOBE. THEY WERE TOLD TO PACK TWO WEEKS OF CLOTHES, INDICATING THIS AND NEXT WEEK FOR THE SHOTGUN START. BOTH THE US TREASURY AND BANKERS TOLD PAYMASTERS THAT THIS WA…

Showing the 12 most recent of 171 posts we hold for @LadyD_Q17. 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.

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 1 registered channel — 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Trump Office
@DonaldTrumpOffice · 55,529
Telegram ranks this channel #29 of 63 here — alongside 62 others — read 23 August 2026
Mel Gibson
@mel_gibsonchannel · 58,244
Telegram ranks this channel #30 of 72 here — alongside 71 others — read 22 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Princess Diana” (@LadyD_Q17), 14,946 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/LadyD_Q17.

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.