🇦🇺Another heart attack in young person - 32yrs
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Channel
@covid_vaccine_injuries
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
25,147subscribers
-646 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001226804730 |
|---|---|
| Type | Channel |
| Username | @covid_vaccine_injuries |
| Description | Collating injuries from around the world so people can have more information about these new products. We try not to post the same testimony twice, apologies if this occurs. |
| Created | 14 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/covid_vaccine_injuries |
Health & wellness — 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 94% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 18:01 | 25,147 | -70 |
| 19 Sept 2026, 05:56 | 25,217 | -27 |
| 16 Sept 2026, 19:38 | 25,244 | -26 |
| 15 Sept 2026, 00:18 | 25,270 | -26 |
| 13 Sept 2026, 06:16 | 25,296 | -25 |
| 11 Sept 2026, 12:20 | 25,321 | -36 |
| 8 Sept 2026, 23:01 | 25,357 | -42 |
| 5 Sept 2026, 18:16 | 25,399 | -22 |
| 3 Sept 2026, 14:18 | 25,421 | -14 |
| 2 Sept 2026, 04:44 | 25,435 | -14 |
| 1 Sept 2026, 05:07 | 25,449 | -15 |
| 31 Aug 2026, 05:37 | 25,464 | -16 |
| 30 Aug 2026, 04:34 | 25,480 | -6 |
| 29 Aug 2026, 07:04 | 25,486 | -12 |
| 28 Aug 2026, 05:27 | 25,498 | -17 |
| 27 Aug 2026, 04:56 | 25,515 | -7 |
| 26 Aug 2026, 07:33 | 25,522 | -7 |
| 25 Aug 2026, 09:32 | 25,529 | -12 |
| 24 Aug 2026, 12:44 | 25,541 | -28 |
| 22 Aug 2026, 23:37 | 25,569 | first reading |
147 posts held, back to 1 August 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 62 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 45 of 48 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 147 (1 August 2026 – 27 September 2026) |
| Views total | 49,315 |
| Reactions total | 818 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Sept 2026, 11:41 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 28 September 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.
Measured directly from 7 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.
2,506 reactions across 131 posts, in 26 distinct kinds. The most used accounts for 28.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😢 | 722 | 28.8% | |
| 👍 | 279 | 11.1% | |
| 🤬 | 269 | 10.7% | |
| ❤ | 211 | 8.42% | |
| 🙏 | 211 | 8.42% | |
| 👏 | 132 | 5.27% | |
| 🔥 | 104 | 4.15% | |
| 🤡 | 98 | 3.91% | |
| 🤮 | 66 | 2.63% | |
| 💯 | 63 | 2.51% | |
| 😁 | 62 | 2.47% | |
| 💩 | 56 | 2.23% | |
| 😱 | 51 | 2.04% | |
| 🤣 | 44 | 1.76% | |
| 🥴 | 37 | 1.48% | |
| 🤔 | 24 | 0.958% | |
| 🏆 | 20 | 0.798% | |
| 🤯 | 17 | 0.678% | |
| 👎 | 16 | 0.638% | |
| 🎉 | 10 | 0.399% | |
| 6 further kinds | 14 | 0.559% |
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 133 of the 147 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 2,506 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 147 most recent posts we hold, published 1 August 2026 to 27 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.
🇦🇺Another heart attack in young person - 32yrs
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🪦🪦Double grief for this family - mother and daughter both die of cancer within hours of each other. https://www.thesun.co.uk/uncategorized/40502108/mum-daughter-die-hours-apart-cancer-battle/
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"If you were following my substack, you knew about this years ago. This is the reason the longest ORF in the Pfizer plasmid is not Spike but an undocumented ORF with closest homology (albeit weak) with Spidroin. The FDA and the WHO demands all ORFs (even ones you do not understand) be documented and Pfizer and Moderna both failed to comply." https://x.com/Kevin_McKernan/status/2104156799788003762 https://threadrea…
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The Gates Foundation funds “MOSQUITO VACCINATORS” — a technology that could be harnessed to mass vaccinate populations without consent. They funded a trial in which volunteers were vaccinated through bites from mosquitoes carrying live, radiation-attenuated malaria parasites. https://t.me/Australians_Against_Vax_Mandates
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A healthcare sector whistleblower has revealed how immigrants are bringing their elderly parents into Australia as tourists, using a visa loophole so they can stay indefinitely, getting them free medical treatment, and leaving taxpayers with the bill. https://www.noticer.news/immigrant-aged-parent-visa-scam-healthcare/ Follow: @NoticerNews
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🪦🇦🇺Camplin died just two days after giving birth to their first child Sofia, and it has now been revealed she suffered a cardiac arrest in hospital on September 9. Both Hutchings and 36-year-old Camplin were over the moon when Sofia arrived, and the pregnancy was reportedly “straightforward”. 📌 MORE: 7news.link/4xJ40HS
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🇮🇳🦠⚖Virus theory on trial in India High Court https://youtu.be/t8YMQlU6Rw8?
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🇦🇺🔥West Australian local government councillor (Gosnells council) asking the right questions.
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🪦Diagnosed with glioblastoma at Christmas, died 9 months later. Copied Daily Star "Absolutely tragic news to bring you 😢💔 Inspirational mum Kim Borthwick has died just months after she was diagnosed with incurable brain cancer which began as a post-Christmas headache 😭 She was diagnosed with an aggressive brain tumour in January 2026, just a week after she began experiencing symptoms. The 36-year-old had just enjo…
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🪦🇬🇧17yr old diaganosed stage 4, died within 4 months “I can’t have cancer, Mum. I’m only 17.” Charlotte Simpson was 17 when she first began suffering from stomach pain and changes to her bowel habits. Her mother, Sarah, repeatedly took her to the GP as Charlotte lost weight, developed anaemia and began passing blood. By the time Charlotte was diagnosed, her cancer was already stage four and had spread throughout he…
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🇦🇺🦈https://youtu.be/rEIC2pcnP38?
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https://blog.maryannedemasi.com/p/the-real-world-data-dilemma-part?
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Showing the 12 most recent of 147 posts we hold for @covid_vaccine_injuries. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 14 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 3 seed channels' Telegram-generated recommendation lists in total. 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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“Covid Vaccine Injuries” (@covid_vaccine_injuries), 25,147 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/covid_vaccine_injuries.
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.