9 measurements spanning 8 days, net +104. 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 14,725–14,862 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 19:46
14,846
+27
13 Aug 2026, 13:18
14,819
-1
12 Aug 2026, 12:43
14,820
+5
11 Aug 2026, 09:56
14,815
+21
10 Aug 2026, 12:31
14,794
+21
9 Aug 2026, 10:32
14,773
+10
8 Aug 2026, 10:01
14,763
+22
7 Aug 2026, 09:56
14,741
-1
7 Aug 2026, 01:03
14,742
first reading
Engagement
28 posts held, back to 23 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
22.6%
avg views ÷ 14,846 subscribers
Avg views / post
3,350
28 posts measured
Reaction rate
2.68%
reactions ÷ views · ER floor
Posts in window
28
of 28 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 August 2026
Posts held
28 (23 July 2026 – 14 August 2026)
Views total
93,789
Reactions total
2,512
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Aug 2026, 20:15 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
Photos
74
Videos
96
Links
143
Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 33s
Average length
12s
Measured directly from 8 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
2,512 reactions across 28 posts, in 16 distinct kinds. The most used accounts for 58.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,479
58.9%
👍
489
19.5%
🙏
314
12.5%
💯
73
2.91%
👏
54
2.15%
🔥
51
2.03%
🥰
24
0.955%
⚡
11
0.438%
❤🔥
5
0.199%
👎
3
0.119%
🤔
2
0.08%
🤮
2
0.08%
🤷
2
0.08%
🤯
1
0.04%
🤷♀
1
0.04%
🥱
1
0.04%
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 28 of the 28 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 2,512reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 23 July 2026 to 14 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.
Telegram Stars
Stars received
77
across the posts below
Posts paid on
25
of 28 we hold a reading for · 89%
Most on one post
51
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @FrequencyHealth. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 28 most recent posts we hold for this entry, published 23 July 2026 to 14 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
SOLITON WAVES: HOW DNA TRANSMITS INFORMATION WITHOUT DECAY
Standard wave mechanics dictate that energy disperses as it travels across a medium. Sound waves fade, light waves scatter, and electrical signals lose voltage over distance.
Yet biological systems maintain absolute signal integrity across trillions of cells. The mechanism behind this feat is the soliton wave.
⟁
THE UNDEFEATED ENERGY PACKET
A soliton is …
THE MASTER FREQUENCY: COHERENT BREATHING AT 0.1 Hz
You possess an internal tuning fork that can instantly reset your entire nervous system. That tuning fork is your respiratory rate.
When you synchronize your breathing to exactly six breaths per minute—inhalation for 5 seconds, exhalation for 5 seconds—you generate a precise oscillation of 0.1 Hz in the cardiovascular system.
⟁
THE RESONANCE CASCADE
At 0.1 Hz, y…
MELANIN: THE BIOLOGICAL BATTERY AND RADIATION CONVERTER
Standard dermatology reduces melanin to a simple pigment responsible for skin color and UV protection. Biophysics reveals it as one of the most sophisticated energy-transducing polymers in nature.
Melanin is a biological semiconductor capable of absorbing electromagnetic radiation across the entire spectrum—including light, X-rays, and ambient Wi-Fi—and conver…
BEFORE:
Every move feels heavy.
You sit down carefully.
You stand up slowly.
You avoid the stairs, the stretch, the things your body used to do without a second thought.
You call it getting older.
But often, it is simply a body carrying too much from every day before it.
Stress. Tension. Poor rest. Too little recovery.
Your body holds it all.
AFTER:
Twenty minutes.
One full-body ritual.
The MB Aura Mat brings…
BEYOND GENETICS: EPIGENETIC TUNING THROUGH FREQUENCY
The old biological dogma claimed your genes were your destiny. You inherited a specific genetic deck of cards, and you simply had to live with the hand you were dealt.
Epigenetics shattered that illusion. Your DNA is not a fixed program; it is a dynamic antenna that responds directly to environmental signals.
⟁
THE GENETIC ANTENNA
The expression of your genes …
THE SEMICONDUCTOR BODY: THE COLLAGEN MATRIX
Traditional medicine views your fascia and connective tissue as passive packaging holding your organs in place. Modern biophysics proves the exact opposite.
Your collagen matrix is a continuous, crystalline network that spans from your skin down to the nuclear membrane of every cell. It is not just structural tissue; it is a living semiconductor.
⟁
THE SPEED OF LIGHT CO…
THE ELECTRICAL EARTH: THE SCIENCE OF BIOLOGICAL GROUNDING
You are an electrical being living on an electrical planet. For all of human history, our biology maintained direct, skin-to-earth contact, allowing free electrons from the Earth's surface to neutralize positive free radicals in our tissues.
Modern insulation, rubber-soled shoes, and high-rise living have severed this conductive link.
⟁
THE NEUTRALIZATION …
LIGHT AS INFORMATION: THE MASTER CIRCADIAN CLOCK
Every cell in your body contains a biological clock. These peripheral clocks do not rely on your conscious mind; they rely entirely on photon input. When specific light wavelengths hit your eyes and skin, they send a direct chemical instruction to the suprachiasmatic nucleus in your brain.
This photonic input regulates hormone production, immune response, and core bo…
RECLAIM YOUR BIOLOGICAL SOVEREIGNTY: THE MB AURA MAT
You have explored the mechanics of cellular voltage, the penetration of near-infrared light, and the cleansing power of micro-vibrational frequencies. You understand that the human body is an electro-biochemical system that requires precise physical inputs to maintain optimal operation.
The barrier between theoretical biohacking and practical daily execution has …
PROTOCOL 03: THE ELECTROMAGNETIC RESET (PEMF)
Light therapy repairs the molecular machinery, but the body's electrical environment dictates whether that machinery can function at all. Every human cell operates like a microscopic battery.
The MB Aura Mat incorporates Pulsed Electromagnetic Field (PEMF) technology to recharge that biological battery.
⟁
RESTORING MEMBRANE VOLTAGE
A healthy cell maintains an electri…
PROTOCOL 02: DEEP TISSUE PENETRATION (850nm NEAR-INFRARED)
Surface healing is only the beginning. To truly reverse joint stiffness, deep muscle fatigue, and systemic degeneration, therapy must bypass the skin entirely.
The MB Aura Mat utilizes 850nm near-infrared light to reach where visible light cannot.
⟁
REACHING THE CELLULAR CORE
Unlike 660nm light, 850nm near-infrared photons possess a longer wavelength cap…
PROTOCOL 01: THE SURFACE ARCHITECT (660nm RED LIGHT)
Your skin and superficial tissue are constantly exposed to environmental oxidation. Without targeted cellular intervention, surface regeneration slows down significantly with age.
The MB Aura Mat integrates precision 660nm red light as its first layer of biological restoration.
⟁
THE MECHANICS OF PHOTOBIOMODULATION
When 660nm photons penetrate the dermal layer…
❤41🙏15👍9⚡1👏1🔥1
Showing the 12 most recent of 28 posts we hold for @FrequencyHealth. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 166,118 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
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.
Mentions
Named by 3 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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Frequency Health” (@FrequencyHealth), 14,846 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/FrequencyHealth.
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.