Channel
@dailyexpose
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
27,503subscribers
-966 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001339147628 |
|---|---|
| Type | Channel |
| Username | @dailyexpose |
| Description | Reporting the facts that the mainstream refuse to... Official telegram channel for The Expose |
| Created | 26 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 9 November 2026 |
| On Telegram | t.me/dailyexpose |
Politics & activism — 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 79% 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.
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.
Posts published here appear in near-verbatim form on 1 other registered channel. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @dailyexpose/20077 · this entry11 Aug 2026, 16:19 UTC | @Fourdirections3132/10246311 Aug 2026, 17:09 UTC | 0.99 | 50 minutes |
| @dailyexpose/20096 · this entry19 Aug 2026, 10:32 UTC | @Fourdirections3132/10266719 Aug 2026, 12:45 UTC | 0.99 | 2.2 hours |
| @dailyexpose/20271 · this entry6 Nov 2026, 12:24 UTC | @Fourdirections3132/1047776 Nov 2026, 18:56 UTC | 0.99 | 6.5 hours |
| @dailyexpose/20102 · this entry21 Aug 2026, 15:44 UTC | @Fourdirections3132/10272322 Aug 2026, 15:46 UTC | 0.99 | 24 hours |
| @dailyexpose/20068 · this entry7 Aug 2026, 14:39 UTC | @Fourdirections3132/1024018 Aug 2026, 01:59 UTC | 0.99 | 11 hours |
| @dailyexpose/20269 · this entry5 Nov 2026, 15:16 UTC | @Fourdirections3132/1047305 Nov 2026, 16:03 UTC | 0.98 | 47 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @Fourdirections3132 | 6 (6/6 hand-verifiable sample passed) | 0.99 | 4.4 hours | this entry (6–0) |
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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 230 comparable posts for this entry, running 30 July 2026 to 10 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.
Recorded under the key clone_source, last confirmed 11 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Nov 2026, 19:07 | 27,503 | -9 |
| 8 Nov 2026, 13:06 | 27,512 | +2 |
| 7 Nov 2026, 03:39 | 27,510 | -9 |
| 6 Nov 2026, 02:45 | 27,519 | -8 |
| 5 Nov 2026, 02:08 | 27,527 | -10 |
| 4 Nov 2026, 00:29 | 27,537 | -4 |
| 3 Nov 2026, 02:27 | 27,541 | -9 |
| 2 Nov 2026, 04:20 | 27,550 | -12 |
| 1 Nov 2026, 01:17 | 27,562 | -2 |
| 30 Oct 2026, 23:58 | 27,564 | -16 |
| 30 Oct 2026, 03:19 | 27,580 | -3 |
| 29 Oct 2026, 03:37 | 27,583 | -6 |
| 27 Oct 2026, 23:55 | 27,589 | -12 |
| 27 Oct 2026, 02:35 | 27,601 | -2 |
| 26 Oct 2026, 01:50 | 27,603 | -10 |
| 25 Oct 2026, 01:16 | 27,613 | -8 |
| 24 Oct 2026, 01:20 | 27,621 | -23 |
| 23 Oct 2026, 03:06 | 27,644 | -3 |
| 22 Oct 2026, 02:40 | 27,647 | -16 |
| 20 Oct 2026, 22:10 | 27,663 | first reading |
230 posts held, back to 30 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 154 pages of Telegram’s post history, 20 posts per page.
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. It is computed over the 63 of 64 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 230 (30 July 2026 – 10 November 2026) |
| Views total | 115,071 |
| Reactions total | 1,337 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 02:57 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.
Lifetime counters from Telegram’s own channel header, read 11 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.
4,494 reactions across 227 posts, in 51 distinct kinds. The most used accounts for 23.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,075 | 23.9% | |
| 🤬 | 953 | 21.2% | |
| ❤ | 567 | 12.6% | |
| 🔥 | 384 | 8.54% | |
| 💯 | 295 | 6.56% | |
| 😈 | 200 | 4.45% | |
| 👎 | 137 | 3.05% | |
| 🙏 | 132 | 2.94% | |
| 👏 | 107 | 2.38% | |
| 🤡 | 94 | 2.09% | |
| 😁 | 65 | 1.45% | |
| 🤯 | 65 | 1.45% | |
| 🖕 | 64 | 1.42% | |
| 💩 | 46 | 1.02% | |
| 🤔 | 41 | 0.912% | |
| 🤣 | 41 | 0.912% | |
| 😢 | 33 | 0.734% | |
| 🤮 | 32 | 0.712% | |
| 🤪 | 31 | 0.69% | |
| 😱 | 25 | 0.556% | |
| 31 further kinds | 107 | 2.38% |
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 228 of the 230 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 4,494 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 230 most recent posts we hold, published 30 July 2026 to 10 November 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.
Telegram’s own ‘edited’ marker: 63 of 64 posts held from the last 30 days (98.4%) 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).
North Sea oil and gas should be for the people of the UK Michael Clark argues that the UK should implement a national energy obligation to reserve North Sea oil and gas for domestic use, prioritising households, essential services and industry to mitigate the impact of international price volatility and supply disruptions. Because North Sea production has declined significantly since 1999, leaving the UK today as a…
👍14
All plant-based meat alternatives and beverages are contaminated with toxins, a UK study finds Every plant-based meat alternative tested contained at least one mycotoxin, and multiple fungal toxins commonly occurred together. Several individual mycotoxins appeared in more than 9 out of every 10 plant-based “meat” products, showing how widespread contamination was across the category. Mycotoxins have been linked to…
😈7🤣1
“Trust the Science”: Covid vaccine “science” is poor and biased Springer Nature’s Journal of Bioethical Inquiry, one of the biggest bioethics journals, published two important critical articles on the covid “vaccines.” One, an article published in 2023, was from a group including experts in medicine, bioethics and law. The other is a recently published response by Dr. Rapheal Lataster. As he explains below, Dr. L…
👍5❤2
A heartfelt message from Dr. David Cartland, who has now also been banned from coaching football Dr. David Cartland, a British general practitioner (“GP”) with an exemplary clinical record, became ill after taking two covid “vaccines.” For raising the alarm about the harm the vaccines are causing, he has had his medical licence and his ability to coach football stripped from him... https://expose-news.com/2026/11/…
🤬17🙏4👀2
Japan: Excess deaths only began after the rollout of the covid “vaccines” Japan has a high population density and an elderly demographic. Despite this, the country experienced a significant mortality deficit in 2020. The following year, the year after the covid “pandemic” and after the rollout of mRNA vaccines in early 2021, Japan’s downward mortality trend reversed, leading to an estimated 472,820 unexplained exc…
👍21❤3
The case for a reunited Cyprus Michael Clark argues the case for a reunited Cyprus. He views the reunification of Cyprus as a means to establish a single sovereign state that protects the communal identities, languages and religious traditions of both Greek and Turkish Cypriots... https://expose-news.com/2026/11/09/the-case-for-a-reunited-cyprus/
Dr. Raphael Lataster: The safety of covid vaccines was never established In mid-September, The BMJ (formerly called the British Medical Journal) published an article on covid “vaccine” pharmacovigilance failures. Australian Bioethicist Dr. Raphael Lataster submitted a rapid response to the article, arguing that "the safety profile has not been established” and risk–benefit analyses “are therefore unreliable"... ht…
Analysis of the Danish study cited as “proof” that vaccines do not cause autism finds that it’s sophisticated “science” propaganda A 2002 paper authored by Danish “scientists” known as the Madsen paper is frequently cited as “proof” that vaccines do not cause autism. Søren Korsgaard has recently published a detailed refutation of the paper. Despite bias and fraudulent adjustments, a close re-examination of the pap…
❤14👍2🤡2😁1
Deaths in Ireland among young adults rose by 62% in 2024 compared to 2020 The Irish Central Statistics Office (“CSO”) reported that medical deaths among people aged 15–54 increased in 2024 compared to 2020, with rises of 62% for those aged 15–24, 25% for those aged 25–34, and 10% for those aged 35–54. The CSO confirmed that these mortality figures exclude Irish deaths occurring abroad, which have increased by 50% s…
🔥9❤2🤬1
America’s ambitions to be a “super-intelligence” superpower cannot be realised without nuclear power America cannot become the world’s undisputed “super-intelligence” superpower if it refuses to build the power needed to sustain it. What source of power is needed for the enormous amounts of energy required to sustain a vast network of digital “intelligence”? Nuclear-generated power... https://expose-news.com/2026…
❤2🤣1
Claude AI is caught out lying and admits it’s programmed to follow the institutionally accepted narrative, regardless of the evidence One of our readers, whom we will call “Jay,” was looking for some medical information about pain-relieving spinal injections. Jay began her quest by asking an artificial “intelligence” (“AI”) program, and, in her words, “the most extraordinary conversation with the Claude AI tool” en…
👍4🤣1😱1
Republicans put forward a candidate in Ohio who has been involved in fraudulent pharmaceutical schemes; the GOP needs to sort itself out In the recent Ohio gubernatorial election, Republican candidate Vivek Ramaswamy was defeated by Democrat Amy Acton. Ramaswamy’s campaign tactics were distasteful, to say the least. Perhaps this is not surprising considering Ramaswamy’s past business career involving fraudulent pha…
👍4
Showing the 12 most recent of 230 posts we hold for @dailyexpose. 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.
@dailyexpose edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 12 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 November 2026 — this entry's latest reading, not the date you are reading this.
“The Exposé News (Official)” (@dailyexpose), 27,503 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/dailyexpose.
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.