The simple way to feel more grounded. Follow: Quantum Medicine✅️
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Channel
@QuantumMedicineFree
On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
32,197subscribers
+253 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001638572790 |
|---|---|
| Type | Channel |
| Username | @QuantumMedicineFree |
| Description | ⚕️No more Dr.'s, no more pills, what Big Pharma Doesn’t Want You to Know! Quantum Medicine can help you improve your physical, mental, and spiritual health. It includes Frequency Healing ⚡🎵 , Wellness tips, 🧘♀️🌱 and much more! |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 28 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 28 September 2026 |
| On Telegram | t.me/QuantumMedicineFree |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Sept 2026, 13:15 | 32,197 | +89 |
| 17 Sept 2026, 17:36 | 32,108 | +128 |
| 15 Sept 2026, 12:37 | 31,980 | +7 |
| 13 Sept 2026, 23:21 | 31,973 | -8 |
| 12 Sept 2026, 08:56 | 31,981 | +7 |
| 10 Sept 2026, 06:58 | 31,974 | -6 |
| 7 Sept 2026, 04:19 | 31,980 | -13 |
| 4 Sept 2026, 09:58 | 31,993 | +7 |
| 3 Sept 2026, 01:07 | 31,986 | +2 |
| 2 Sept 2026, 00:44 | 31,984 | +9 |
| 31 Aug 2026, 00:43 | 31,975 | +3 |
| 29 Aug 2026, 00:04 | 31,972 | +2 |
| 27 Aug 2026, 21:26 | 31,970 | +5 |
| 26 Aug 2026, 21:58 | 31,965 | +9 |
| 24 Aug 2026, 20:16 | 31,956 | -9 |
| 23 Aug 2026, 04:44 | 31,965 | +14 |
| 21 Aug 2026, 17:46 | 31,951 | -2 |
| 20 Aug 2026, 18:04 | 31,953 | -10 |
| 19 Aug 2026, 14:43 | 31,963 | -5 |
| 18 Aug 2026, 15:53 | 31,968 | first reading |
55 posts held, back to 16 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 85 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.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 55 (16 July 2026 – 29 September 2026) |
| Views total | 161,660 |
| Reactions total | 1,649 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 09:01 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 29 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 32 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.
5,009 reactions across 54 posts, in 13 distinct kinds. The most used accounts for 55.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,764 | 55.2% | |
| 👍 | 836 | 16.7% | |
| ⚡ | 478 | 9.54% | |
| 🔥 | 304 | 6.07% | |
| 🙏 | 214 | 4.27% | |
| 💯 | 178 | 3.55% | |
| 👏 | 111 | 2.22% | |
| 🥰 | 49 | 0.978% | |
| 🤔 | 36 | 0.719% | |
| 👌 | 22 | 0.439% | |
| 🤯 | 14 | 0.279% | |
| 😱 | 2 | 0.04% | |
| 😍 | 1 | 0.02% |
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 54 of the 55 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 5,009 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 16 July 2026 to 29 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.
The simple way to feel more grounded. Follow: Quantum Medicine✅️
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Nikola Tesla was fascinated by resonance—the phenomenon where a small, repeated force can produce a surprisingly large effect when it matches the natural frequency of a system. He used this principle in his electrical experiments, building circuits that could produce extremely high voltages and dramatic electrical effects. But Tesla’s fascination went beyond electricity. He believed that understanding frequency, v…
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THE TESLA CODE: UNLOCKING THE BODY’S HIDDEN HARMONY Nikola Tesla once famously said, “If you only knew the magnificence of the 3, 6, and 9, then you would have a key to the universe.” For decades, this statement was dismissed as the eccentricity of a genius. But today, a growing movement of researchers and sound healers is discovering that these numbers aren’t just mathematical curiosities—they are the vibrational b…
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LOVE is the binding force that holds the entire universe together. Call it harmony, call it sympathetic vibratory physics, call it whatever you want to call it... But I assure you something much deeper is going on here... Because the more centered in your heart you are, the more power you have over your reality, simply for the fact that heart-centeredness brings you to your neutral center, which connects to every neu…
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Not only do we need to do grounding or earth thing to the planet. When further research is done about higher human possibilities, comes into account. The fact we can also connect up above with the higher for most people is in the realms of the unknown. Follow: Quantum Medicine✅️
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🚨 Could Your BLOOD TYPE Reveal How Fast You’re Aging? 🩸⏳ Researchers are exploring surprising links between blood type and aging: https://tinyurl.com/3xtaytxy
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We’ve been down this rabbit hole many times. No smoke without fire comes to mind. Dr. Tennant proved that when rechargeable batteries are drained to zero, they flip the polarity and found that this occurs in the body’s muscle battery packs too. He then determined that all organs that were clinically struggling had flipped the polarity in their acupuncture battery supply. This indicated that all chronic disease begin…
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A company called Greenvize has officially deleted the need for gas tanks. They’ve developed a stove that creates its own fuel. Using a Proton Exchange Membrane (PEM) electrolyzer, it splits 100ml of water into hydrogen and oxygen. The Math: 100ml of water + 1 kWh of electricity = 6 hours of high-heat cooking. The Freedom: No gas lines. No "smart meter" shutoffs. No relying on the grid. The Verdict: If you can turn…
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Your brain doesn't process reality in words. It processes it in electrical frequencies. Every mental state from deep cellular regeneration to high-speed cognitive processing is driven by specific electro-encephalographic (EEG) oscillations. When your neural bands are out of sync, willpower won't save you. You don't need motivation; you need neural frequency alignment. 🔴 Delta (0.5–3.5 Hz) | Somatic & Nervous System …
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🚨 Seeing Mysterious Red Dots on Your Skin? Don’t Ignore Them! 🔴⚠️ Your skin could be trying to tell you something: https://tinyurl.com/3jryuefj
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⚡ FREQUENCY + DETOX: YOUR BODY IS ELECTRICAL ⚡ Your brain, heart, nerves + cells all depend on electrical and chemical signaling. 🧬 741 Hz is commonly called a “detox frequency” in frequency healing practices. You can see above it has been clinically proven to remove vaccines or toxins, sound and electromagnetic therapies can interact with the body in measurable ways. 🪱 RIFE FREQUENCIES — based on the theory that …
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Tesla's Ambassadors 🕊️ Did you know that Nikola Tesla developed one of his earliest commercial products to help improve air and water quality? On March 3, 1896, Nikola Tesla was granted U.S. Patent No. 568,177 for his Method of Producing Ozone. Using high-voltage, high-frequency electrical discharges, Tesla's ozone generator produced ozone for applications such as water purification, air treatment, and sterilization…
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Showing the 12 most recent of 55 posts we hold for @QuantumMedicineFree. 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.
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 15 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.
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 5 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 43 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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“Quantum Medicine ️⚡” (@QuantumMedicineFree), 32,197 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/QuantumMedicineFree.
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.