OFFICIAL NEWS & FAN PAGE
New York Times bestselling author 📖 Researcher of epigenetics, quantum physics & neuroscience 🧬
Learn more at drjoedispenza.com
Created
Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 91% 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.
Also posting the same content
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.
35 measurements spanning 60 days, net +202. 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 31,209–31,519 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
5 Oct 2026, 14:57
31,469
-14
29 Sept 2026, 23:39
31,483
+71
18 Sept 2026, 03:21
31,412
+17
15 Sept 2026, 23:40
31,395
+30
14 Sept 2026, 05:17
31,365
-4
12 Sept 2026, 09:57
31,369
+15
10 Sept 2026, 07:20
31,354
+28
7 Sept 2026, 00:59
31,326
+8
4 Sept 2026, 08:58
31,318
+8
2 Sept 2026, 19:43
31,310
+1
1 Sept 2026, 21:36
31,309
+8
31 Aug 2026, 22:03
31,301
+3
31 Aug 2026, 00:23
31,298
+4
30 Aug 2026, 00:23
31,294
+8
29 Aug 2026, 00:56
31,286
+13
28 Aug 2026, 04:04
31,273
+12
27 Aug 2026, 02:01
31,261
+7
26 Aug 2026, 01:53
31,254
+3
25 Aug 2026, 01:16
31,251
-2
23 Aug 2026, 13:57
31,253
first reading
Engagement
29 posts held, back to 20 June 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 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
25.7%
avg views ÷ 31,469 subscribers
Avg views / post
8,080
8 posts measured
Reaction rate
2.69%
reactions ÷ views · ER floor
Posts in window
8
of 29 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 4 October 2026
Posts held
29 (20 June 2026 – 4 October 2026)
Views total
64,660
Reactions total
1,737
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Oct 2026, 11:24 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
191
Videos
199
Links
344
Lifetime counters from Telegram’s own channel header, read 6 October 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
25m 57s
Average length
1m 05s
Measured directly from 24 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
6,575 reactions across 29 posts, in 7 distinct kinds. The most used accounts for 70.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,645
70.6%
❤🔥
1,095
16.7%
🔥
317
4.82%
🥰
225
3.42%
😍
133
2.02%
👍
116
1.76%
👏
44
0.669%
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 29 of the 29 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 6,575 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 20 June 2026 to 4 October 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.
After a traumatic experience affected Estelle’s emotional and physical health, doctors told her there was nothing more that could help her heal. She turned to meditation, focusing on changing the emotions connected to her past. What happened next changed everything.
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When you ask yourself, “What would it be like to be healthy, abundant, free, or in love with life?” the creative center in your brain begins to create a vision of that future.
You don’t need to change anyone or anything in your current reality before you can begin embracing positive emotions like joy, gratitude, and peace.
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With a stronger intention, you send more and more information into the field. And the stronger the input, the stronger the output. The clearer your intention, the clearer the evidence in your life that something new is happening.
Our brain organizes how we experience and respond to the familiar people, places, and routines in our lives.
Each new thought and experience causes our brain cells, or neurons, to form new connections and reorganize in ever-changing ways.
This natural ability is called neuroplasticity – meaning that as we think new thoughts, learn new information, and have new experiences, we develop new networks that change our br…
The purpose of meditation isn't to force results in your life – it's to change.
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Our brains perceive less than one percent of material reality, suggesting there’s more information in the immaterial world, the majority of which we filter out.
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When you move your attention away from everything that you know and can sense … your environment, your body, and time … you enter a void. You enter the unknown.
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When we experience heightened emotions like stress, anxiety, and frustration, the brain moves out of balance. When this happens, we start looking through life with a lens of analysis.
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The more you experiment with this work, the more you’ll reinforce a new habit – believing in yourself.
When you believe in yourself, you believe in possibilities.
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❤148❤🔥33🔥13😍7🥰6👍3👏1
Showing the 12 most recent of 29 posts we hold for @officialdrjoedispenza. 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
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 1 registered channel — 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.
Channels Telegram recommends alongside this one
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 6 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.
Appears in Telegram’s recommendations for other channels
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.
Dr Joe Dispenza Meditations @dr_joe_dispenza_meditations · 19,035 Telegram ranks this channel #3 of 45 here — alongside 44 others — read 4 October 2026
Dr. Joe Dispenza [Meditaciones guiadas] 🇪🇸 @meditacionesdrjoedispenza · 26,090 Telegram ranks this channel #32 of 67 here — alongside 66 others — read 13 September 2026
Reencontrate.guru @reencontrate · 22,116 Telegram ranks this channel #46 of 63 here — alongside 62 others — read 20 September 2026
Younity en español @younityespanol · 43,158 Telegram ranks this channel #76 of 77 here — alongside 76 others — read 28 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 October 2026 — this
entry's latest reading, not the date you are reading this.
“Dr Joe Dispenza” (@officialdrjoedispenza), 31,469 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/officialdrjoedispenza.
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.