Telegram RegisterThe public register of Telegram

Channel

forbidden-remedies.co.uk. DMSO Eye drops, DMSO & Magnesium solutions, Pure Gum Spirit of Turpentine, Colloidal Silver etc.

@Forbidden_Remedies

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

1,805subscribers

-5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001508343593
TypeChannel
Username@Forbidden_Remedies
CreatedBetween 1 August 2021 and 31 January 2023— 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/Forbidden_Remedies

Growth

1,8051,8101,807.57 August 2026 — 1,810 subscribers7 August 2026 — 1,810 subscribers11 August 2026 — 1,805 subscribers7 August 202611 August 2026
3 measurements spanning 3 days, net -5. 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 1,804–1,811 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 07:481,805-5
7 Aug 2026, 21:161,810no change
7 Aug 2026, 21:091,810first reading

Engagement

18 posts held, back to 23 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.93%
avg views ÷ 1,805 subscribers
Avg views / post
161
18 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
18
of 18 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. It is computed over the 8 of 18 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 August 2026
Posts held18 (23 July 20261 August 2026)
Views total2,900
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:16 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

Video runtime
7m 42s
Average length
2m 34s

Measured directly from 3 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

13 reactions across 8 posts, in 9 distinct kinds. The most used accounts for 23.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥323.1%
👍215.4%
💯215.4%
17.69%
👏17.69%
😢17.69%
🙏17.69%
🤬17.69%
🥴17.69%

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 8 of the 18 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 23 July 2026 to 1 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

1 Aug 2026, 19:36 UTC146 viewsread 7 August 2026

https://open.substack.com/pub/unbekoming/p/the-ten-genetic-diseases-that-arent?r=ycjq1&utm_campaign=post&utm_medium=email

Signed Laurence

31 Jul 2026, 12:55 UTC163 views1 reactionsread 7 August 2026
Forwarded from @johnblaidtts

Regarding the latest news with Fauci, a statement by Sasha Latypova that I agree with: Here is my prediction - nothing will happen, beyond Rand Paul posturing and Fauci saying he can’t recall anything. Even if Fauci says something else, it doesn’t matter. No accountability, no justice for the victims and no change to how HHS is going to continue to lie to all of us while funding more of the same “fast-tracked” poiso

🙏1

Signed Laurence

31 Jul 2026, 12:53 UTC119 viewsread 7 August 2026
Forwarded from @DrMikeYeadonsolochannel

https://controlstudies.substack.com/p/failed-contagion-studies-1700-present/comments Jamie Andrews magnum opus, a collection of every study of experimental contagion. These all failed. The phenomenon simply doesn’t occur. I understand that for three weeks, it’ll sit behind a pay wall, after which it’ll be set to free access. Best wishes Mike

Signed Laurence

31 Jul 2026, 12:53 UTC127 views1 reactionsread 7 August 2026
Photo

Photo, posted without a caption

👍1

Signed Laurence

31 Jul 2026, 12:49 UTC119 viewsread 7 August 2026

Dr. Tom Cowan reposted Weston A. Price Foundation @WestonAPrice Jul 27 Can you catch a cold? Despite the fact the people in the same place do experience the same symptoms, some 200 scientific studies show that you can't "catch" a cold. See the entire interview with Dr. Tom Cowan: bit.ly/tomcowanonkimi See Daniel Roytas book "Can you catch as cold?" amzn.to/4yWYkfB

Signed Laurence

31 Jul 2026, 12:47 UTC124 views4 reactionsread 7 August 2026

D. Alec Zeck @Alec_Zeck Here’s your friendly reminder that the Gain of Function and “COVID came from a lab” narrative is part of a false dilemma intended to legitimize the entirely unsubstantiated, pseudoscientific field of virology while keeping us afraid of future “man-made pandemics” while having us believe we’re getting “justice” and “the truth” on COVID—which was entirely a psychological operation comprised of n

🔥3👏1

Signed Laurence

31 Jul 2026, 12:47 UTC117 viewsread 7 August 2026

D. Alec Zeck @Alec_Zeck If you’ve been in the health freedom space for a few years now, there is ZERO excuse to be ignorant on the truth about virology and the failed germ hypothesis. At this point, in my opinion, you’re remaining willfully ignorant. I can point you to at least 14 books written on the topic, fully breaking down the host of unproven aspects of virology, the lack of validation behind the (failed) germ

Signed Laurence

30 Jul 2026, 13:02 UTC112 views1 reactionsread 7 August 2026
Forwarded from @HeatherRaeFunctionalHealthPhoto

Photo, posted without a caption

👍1

Signed Laurence

30 Jul 2026, 12:57 UTC155 views3 reactionsread 7 August 2026
Photo

Photo, posted without a caption

💯2😢1

Signed Laurence

28 Jul 2026, 20:12 UTC148 viewsread 7 August 2026
Forwarded from @drsambaileyofficialPhoto

The Biggest LIES About Cholesterol In this new video, Dr Sam Bailey examines the cholesterol narrative, statins, and the evidence behind one of medicine's most enduring beliefs. 🎥 Watch now HERE

Signed Laurence

28 Jul 2026, 20:11 UTC150 viewsread 7 August 2026

https://odysee.com/@JamesDelingpoleChannel:0/2026-07-07_Simon_Dixon_SINA_Lo:6

Signed Laurence

23 Jul 2026, 23:29 UTC246 views1 reactionsread 7 August 2026

Dear friends, The following is offered to us from Arthur Firstenberg, author of “The Invisible Rainbow” — a most important book. Arthur died in February 2025 and I strongly believe he was murdered. His website was promptly removed and they have attempted to bury his most important findings. Nonetheless, his work will go on and those of us who are aware of its importance will ensure that this is the case. Below is one

1

Signed Laurence

Showing the 12 most recent of 18 posts we hold for @Forbidden_Remedies. 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

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.

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.

“forbidden-remedies.co.uk. DMSO Eye drops, DMSO & Magnesium solutions, Pure Gum Spirit of Turpentine, Colloidal Silver etc.” (@Forbidden_Remedies), 1,805 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Forbidden_Remedies.

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.