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Channel
Scientology up to 1972
@scientolog1972
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
14subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001569169864 |
|---|---|
| Type | Channel |
| Username | @scientolog1972 |
| Description | LRH developed Scientology up to 1972, after that the subject was taken over by the enemy and changed into a sect. Rewritten materials destroyed the Bridge. Here I publish essays on this subject. Created by Andreas Gross, Switzerland. https://t.me/andreasg |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/scientolog1972 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 00:32 | 14 | no change |
| 10 Aug 2026, 17:15 | 14 | first reading |
Engagement
20 posts held, back to 28 August 2024 — 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
- 529.8%
- avg views ÷ 14 subscribers
- Avg views / post
- 74.2
- 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 22 July 2026 |
|---|---|
| Posts held | 20 (28 August 2024 – 22 July 2026) |
| Views total | 445 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 00:32 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
- 7
- Videos
- 7
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 12 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
- 1h 02m
- Average length
- 8m 57s
Measured directly from 7 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
19 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 68.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 13 | 68.4% | |
| ❤ | 3 | 15.8% | |
| 🔥 | 2 | 10.5% | |
| 🤡 | 1 | 5.26% |
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 7 of the 20 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 19reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 28 August 2024 to 22 July 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.
Recent posts
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Here is an example for such a fake revision, which does not even mention, that it is a revision. But on page 3 you find this: "(f) Tell the person that's it for the step and verify the products with a Product Officer. (Be sure it's a Product Officer who has had his Product Clearing. If this is THE Product Officer of the org, see if it compares to the Valuable Final Products of an Org [see HCO P/L 8 Nov 73RA, revised …
QualsKAT — Mission Statement What QualsKAT is QualsKAT is a tool that judges, from the writing and speaking style itself, whether a Scientology text is genuinely L. Ron Hubbard — or written by someone else. Why it matters Since 1972, a great deal of “LRH” material has been altered, re-issued, compiled and ghost-written. Headers, dates and signatures can all be faked — so they can’t tell you, by themselves, what i…
QualsKAT is not dead — it's the opposite. It's been quiet here for a long time, so let me set the record straight: the project is being rebuilt, on a much sounder footing. Honest post-mortem of the 2024 version: it didn't really measure Ron's writing style — it keyed on topic and vocabulary. That's why, once I tested it against texts whose authorship I knew, it confidently mislabelled non-LRH writing as LRH. A conf…
HUBBARDS.AI — what we are building (and what we are not) A first word on what HUBBARDS.AI is — and, just as important, what it is not. The idea. An AI you can ask any Scientology question in plain words, which answers from LRH’s own writings and gives you the exact source behind every answer — the work, its date and issue type, with the passage itself. Not a chatbot that “sounds knowledgeable” and quietly makes thi…
https://t.me/Hubbards_AI this group informs about the progress on this.
Scott Gordon: My First Substack Post This one will get me in a lot of trouble! You can be the nicest guy around, but if you put out truth others do not want to hear... forget it. I've lost so many friends and colleagues I have trouble counting them, but I keep going and make more. I am not around here to be liked. The current psy-op (psychological operation) is to love and revere L. Ron Hubbard, or else hate him a…
🔥2
Showing the 12 most recent of 20 posts we hold for @scientolog1972. 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 — 587,807 of 1,549,376entries 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Scientology up to 1972” (@scientolog1972), 14 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/scientolog1972.
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.