Photo, posted without a caption

Channel
Adam Bigelsen's Insights
@AdamBigelsen
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
428subscribers
+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 | -1001413079427 |
|---|---|
| Type | Channel |
| Username | @AdamBigelsen |
| Description | Join me as I share insights and information regarding life, health, wellness, balance and joy. |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/AdamBigelsen |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:19 | 428 | no change |
| 7 Aug 2026, 08:48 | 428 | first reading |
Engagement
20 posts held, back to 1 February 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
- 33.8%
- avg views ÷ 428 subscribers
- Avg views / post
- 145
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- 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.
| Window | Rolling 30 days · latest post in window 2 August 2026 |
|---|---|
| Posts held | 20 (1 February 2026 – 2 August 2026) |
| Views total | 868 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:19 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
- 90
- Videos
- 69
- Links
- 129
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. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
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Photo, posted without a caption
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(😁 setting up the tents for the retreat in Arroyo Grande California😁)
(😎Check out my latest Substack article. Share if it resonates.) https://open.substack.com/pub/adambigelsen/p/sepsis-when-a-word-changes-so-does?r=3474gw&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
(🥳Santa Cruz Presentations with Ana and I🥳) 📍 Santa Cruz, CA – Free Terrain and Expanded Vision Presentations! What if we've been asking the wrong questions about health all along? Join Adam Bigelsen and Dr. Ana María Oliva for two eye-opening presentations exploring a different perspective on chronic illness, healing, and how the body truly adapts. Whether you're brand new to Terrain or have been studying it for yea…
(😎Latest Substack article. Share if it resonates with you to do so😁) A sample size of one is not a universal law. Just because a diet, supplement, detox, or fast helped someone doesn't mean it's the answer for everyone. In this week's Substack, I explore observation, individuality, and why personal experiences so often become dogma. Read here: https://open.substack.com/pub/adambigelsen/p/just-because-something-helped…
(😎Latest Substack article. Share if it resonates with you to do so😁) https://open.substack.com/pub/adambigelsen/p/the-difference-between-influence?r=3474gw&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
Hola Terrainiacs😁, It's course time again for Josh and I. Here's the info below. Would be great if you could share🙏. Would love to see some of you there as well😁. Over the past few years, a lot of people have started asking deeper questions about health. We put together a course to explore those questions from a completely different perspective: The Hidden Side of Healthcare It’s about understanding the body as a s…
(😎Latest Substack article😎) https://open.substack.com/pub/adambigelsen/p/pots-posture-and-the-patterns-were?r=3474gw&utm_campaign=post&utm_medium=email
Did a nice presentation yesterday for a small group of people in the Pismo Beach area. If all goes well, might have a resource here for people😁
Showing the 12 most recent of 20 posts we hold for @AdamBigelsen. 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 — 718,283 of 1,183,361entries 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.
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.
“Adam Bigelsen's Insights” (@AdamBigelsen), 428 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/AdamBigelsen.
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.