Channel
@wsevidence
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
52subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001936079528 |
|---|---|
| Type | Channel |
| Username | @wsevidence |
| Created | 20 March 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 10 August 2026 |
| Last confirmed live | 28 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 3 times, most recently 28 October 2026 |
| On Telegram | t.me/wsevidence |
Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 15 October 2026 and assigned it the closest of 31 fixed categories, at 86% 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 |
|---|---|---|
| 13 Oct 2026, 10:48 | 52 | -1 |
| 10 Aug 2026, 09:45 | 53 | no change |
| 7 Aug 2026, 20:03 | 53 | first reading |
20 posts held, back to 9 April 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 1 page 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 20 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 2 | 100.0% |
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 3 of the 20 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 9 April 2026 to 29 July 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.
Pancreatic cancer is one of the deadliest cancers we have, and this new study is quite fascinating! In 89,000 adults tracked for 9 years, the people getting the most bright daytime light had a 42% lower risk of it, and 53% lower mortality. Across all GI cancers, the study found 13% less risk and 24% fewer deaths. Light predicted who got sick better than sleep, diet, or alcohol did. And you can't shortcut this insi…
A hidden Aloe vera compound takes aim at Alzheimer’s #acemannan https://www.sciencedaily.com/releases/2026/02/260206012213.htm @wsevidence
🔥1
Quantification of residual plasmid DNA and SV40 promoter-enhancer sequences in Pfizer/BioNTech and Moderna modRNA COVID-19 vaccines from Ontario, Canada - currently “under investigation” @wsevidence
🔥1
From Synthetic DNA and RNA-Based Self-Assembling Nanotechnology to Sequalae of COVID-19 Shots 'The resultant technologies are exponentially proliferating as manifested in IEEE standards pertaining to body area networks (BANs) incorporating people irrespective of their body size that enable computing devices in, on, or around the human body to read and write messages from and to those bodies undetected by the persons…
🚨BREAKING: First Peer-Reviewed Paper of it's kind discussing self-assembling nanotechnology in the COVID shots has been published: From Synthetic DNA and RNA-Based Self-Assembling Nanotechnology to Sequalae of COVID-19 Shots https://ijvtpr.com/index.php/IJVTPR/article/view/129/451 @wsevidence
Deuterium-Depleted Water in Cancer Therapy: A Systematic Review of Clinical and Experimental Trials https://www.mdpi.com/2072-6643/16/9/1397 @wsevidence
Explaining deuterium-depleted water as a cancer therapy: a narrative review https://journals.lww.com/eurjcancerprev/fulltext/2026/01000/explaining_deuterium_depleted_water_as_a_cancer.9.aspx @wsevidence
Ironising radiation changes the electronic properties of melanin and enhances the growth of melanized fungi @wsevidence
A pre covid study on ivermectin and infertility. 👇🏻👇🏻👇🏻 https://onlinelibrary.wiley.com/doi/10.1111/and.12891
Forwarded from another group. Just as there is the “Left vs. Right” in Politics, there exists Covid jabs vs. Ivermectin in the sphere of Pharma Recently, new information has surfaced about Ivermectin, stating how Ivermectin (in large quantities) can lead to infertility It’s also been shown that chemical formulation of ivermectin was altered near the start of the scamdemic (when Ivermectin began to be vehemently pu…
Internal Motorola memos from the 1990s discussing how to “WAR GAME” studies linking wireless RF radiation to DNA damage @wsevidence
https://link.springer.com/article/10.1007/s12035-020-02270-0
Showing the 12 most recent of 20 posts we hold for @wsevidence. 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.
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 13 October 2026 — this entry's latest reading, not the date you are reading this.
“WS Evidence & Research” (@wsevidence), 52 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/wsevidence.
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.