https://www.youtube.com/watch?v=k4DVLD3KvMY

Channel
Juliet Yelverton - Healing Earth
@JulietPYelverton
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
194subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001297107452 |
|---|---|
| Type | Channel |
| Username | @JulietPYelverton |
| Description | CEO Healing Earth & founder of Healing Waters Sanctuary & Healing Gardens. www.julietyelverton.com |
| Created | 7 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/JulietPYelverton |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 11:47 | 194 | no change |
| 7 Aug 2026, 09:23 | 194 | first reading |
Engagement
20 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.12%
- avg views ÷ 194 subscribers
- Avg views / post
- 17.7
- 20 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 1 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (3 August 2026 – 7 August 2026) |
| Views total | 354 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 11:47 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
- ≈5,090
- Videos
- ≈3,980
- Links
- ≈12,300
Lifetime counters from Telegram’s own channel header, read 8 August 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.
Recent posts
Liz Churchill@Wliz_churchill10 The Covid Pandemic was planned. Their tests were fake. Their mask science was fake. Their social distancing was fake. Their vaccine science was murderous and fake. Their Media was fake. Their CDC and FDA were fake. ARREST THEM BOTH NOW.
Liz Churchill@liz_churchill10 The ‘Covid Pandemic’ was World War 3. Forced ‘vaccines’. Quarantine Camps for the ‘unvaccinated’. We all watched it happen in real time. Now? The Senate has Dr. Fauci’s phone. Mentally prepare yourselves. It’s about to get a lot worse…
https://www.youtube.com/watch?v=ClJgXZ1rKBs
Dr. Dawn Michael@DawnsMission 🚨 Hospital medical coder “Zoe” just described what she saw after the mRNA rollout: Patients dropping from instant multi-organ failure (liver, lungs, kidneys all at once) within hours. Seizures that no meds could stop—for days—until staff “kinda had to put them down.” Overnight spinal gangrene. Massive clots in 20-year-old marathon runners so bad they needed legs amputated. Multiple st…
In 2002 Anthony Fauci modified the corona virus so that it would target human heart tissue. In 2005 Anthony Fauci announced that he had created a 'bio-warfare enabling technology. THIS IS WHAT THEY DON’T WANT YOU TO KNOW! If you want to see Anthony Fauci held accountable for his handling of COVID, watch and share this video!! https://www.youtube.com/watch?v=sjAe8L0B_2U
https://youtube.com/shorts/unHwRpBsdTI?si=6dEpNJfy31Ttyr4d
File, posted without a caption
Frank Turek is going viral for seemingly using the bible to message that I should be struck down, Blake Neff is upset we solved the mystery of who was on the rooftop at the Losee Center with Officer Bagley, and we found another blank space that we can help fill for Officer Bagley...again. https://www.youtube.com/watch?v=1CFDtD0IgEg
Hello friend, Long before the world had ever heard the word pandemic, one man was already reading the paperwork. David Martin runs a patent intelligence firm. For decades his team has tracked the money behind pathogen research. Patent filings. Funding records. The documents almost nobody reads out loud. That trail led him into the National Institutes of Health. And into a claim that made him one of the most t…
Nicolas Hulscher, MPH @NicHulscher 🚨BREAKING: Criminal referral requests SENT TO ALL 50 STATE ATTORNEYS GENERAL seeking prosecutions of Anthony Fauci and other top public-health officials for their roles in the “COVID Criminal Enterprise.” The cited offenses include MURDER, TERRORISM, RACKETEERING, MANSLAUGHTER, HUMAN TRAFFICKING, ELDER ABUSE, FALSE IMPRISONMENT, and other serious crimes tied to COVID-era hospital p…
Valerie Anne Smith @ValerieAnne1970 · 7h Hospitals were ORDERED to pump patients full of toxic Remdesivir instead of safe, cheap IVERMECTIN — even though Fauci KNEW Ivermectin worked from the start. Why? Because Ivermectin would’ve ended the “emergency,” killed the vaccine money machine, and exposed the entire scam. They knowingly murdered countless Americans for profit. This wasn’t a mistake. This was mass murder…
Showing the 12 most recent of 20 posts we hold for @JulietPYelverton. 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.
Citation-graph rank
Citation-graph rank — 1,012,678 of 1,550,220entries 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
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Juliet Yelverton - Healing Earth” (@JulietPYelverton), 194 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/JulietPYelverton.
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.