Telegram RegisterThe public register of Telegram

Channel

Terrain

@Terrain_Learn

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

3,153subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001809376314
TypeChannel
Username@Terrain_Learn
Created6 July 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/Terrain_Learn

Growth

3,1513,1533,1527 August 2026 — 3,151 subscribers7 August 2026 — 3,151 subscribers10 August 2026 — 3,153 subscribers7 August 202610 August 2026
3 measurements spanning 4 days, net +2. 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 3,151–3,153 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 20:553,153+2
7 Aug 2026, 05:453,151no change
7 Aug 2026, 05:333,151first reading

Engagement

18 posts held, back to 7 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
72.6%
avg views ÷ 3,153 subscribers
Avg views / post
2,290
4 posts measured
Reaction rate
0.993%
reactions ÷ views · ER floor
Posts in window
4
of 18 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
WindowRolling 30 days · latest post in window 31 July 2026
Posts held18 (7 May 202631 July 2026)
Views total9,160
Reactions total91
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:45 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

Video runtime
8m 06s
Average length
49s

Measured directly from 10 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

464 reactions across 18 posts, in 18 distinct kinds. The most used accounts for 30.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯14230.6%
🔥7415.9%
👍6614.2%
5010.8%
👏388.19%
🤬367.76%
💩153.23%
🤮81.72%
🤯81.72%
😢71.51%
😈61.29%
40.862%
😁30.647%
🖕20.431%
🥰20.431%
👎10.216%
🙏10.216%
🤡10.216%

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 18 of the 18 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 464reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 7 May 2026 to 31 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

31 Jul 2026, 04:38 UTC422 views23 reactionsread 7 August 2026
Forwarded from @thetrutheristVideo

This is the billionaires' agenda. T.me/TheTrutherist T.me/TheTrutheristChat

💯20🔥2👍1

31 Jul 2026, 00:10 UTC430 views19 reactionsread 7 August 2026
Forwarded from @thetrutheristPhoto

Resistance and boycott!!! All are poison ☠️ T.me/TheTrutherist T.me/TheTrutheristChat

👍8💩4💯4🔥3

30 Jul 2026, 15:19 UTC448 views23 reactionsread 7 August 2026
Forwarded from @thetrutheristVideo

They have a new vax out they claim it is to stop melanoma..As usual, don't buy into the lies and get these toxic concoctions into your body. Remember what happens after getting any of them. You have been warned. Never trust the Medical and Pharma Mafia. They want us sick. Thats where the money is. Good talk. Credit: R T T.me/TheTrutherist T.me/TheTrutheristChat

🤮8👏5💯4🔥41🤬1

23 Jul 2026, 23:00 UTC≈7,860 views26 reactionsread 7 August 2026
Video

Autism: poisoning by heavy metals, like Mercury, from the va[cci]nes T.me/Terrain_Learn

💯1064🤬2😢2🤯1🙏1

2 Jul 2026, 00:44 UTC≈1,410 views28 reactionsread 7 August 2026
Forwarded from @thetrutheristPhoto

T.me/TheTrutherist T.me/TheTrutheristChat

💯25👍2👎1

27 Jun 2026, 01:28 UTC≈1,550 views22 reactionsread 7 August 2026
Forwarded from @TheNatureApothecaryVideo

Cancer: How the body encapsulates toxins and keeps them from spreading What if we keep an open mind and try to understand that our bodies are actually trying to shield us from harm? And that the medical "treatments" are the cause of actual harm? And that we can help the cleanse by making our bodies alkaline (since acidic environment is where all dis-ease grows, but not alkaline), by eating alkaline rich (PH over 7)

👍11🔥54🥰2

22 Jun 2026, 13:42 UTC≈1,170 views21 reactionsread 7 August 2026
Forwarded from @TheNatureApothecaryVideo

Lots of interesting and forgotten holistic knowledge in this book called "Physician In The House". Published in 1946, before Big Pharma replaced holistic (natural) medical treatments. Doctors even gave marital advice it looks like. It even helps one to understand life on Earth. So much is covered in this book. T.me/TheNatureApothecary T.me/TheNatureApothecaryChat

👍147

11 Jun 2026, 14:49 UTC≈1,370 views46 reactionsread 7 August 2026
Forwarded from @TheNatureApothecary

Coughing is a healing mechanism. Coughing breaks up congestion and expels toxemia and debris. Sneezing is a healing mechanism. Inflammation is a healing mechanism. Diarrhea is a healing mechanism. Vomiting is a healing mechanism. Instead of fearing these mechanisms and trying to stop them with drugs or other alternatives, we should ask ourselves “what is my body trying to heal from?” T.me/TheNatureApothecary T

25💯16👍4🔥1

11 Jun 2026, 12:15 UTC≈1,190 views18 reactionsread 7 August 2026
Forwarded from @TheNatureApothecaryVideo

When the medical and pharma iindustry took over natural healing methods and we were forced to forget knowledge acquired over thousands of years, which had been passed down from generations to generations. Nothing good came out of this. All by design and all because they can't patent nature. And they only care about profits, not lives. A patient cured, is a profit lost. This is an industry that is designed to make u

👏9🔥53👍1

4 Jun 2026, 09:45 UTC≈1,230 views19 reactionsread 7 August 2026
Forwarded from @thetrutherist

243,217 DOSES OF NEW PFIZER mRNA COVID SHOT ADMINISTERED IN 3 MONTHS IN NZ - WITH NO PUBLICLY AVAILABLE ADVERSE EVENT DATA... Did you know that in early March this year (2026) New Zealand began using a new variant updated Pfizer mRNA Covid injectable. This time it is the LP.8.1 variant booster. Did you also know that three and a half months into the roll out of this new product there is still NO PUBLICLY AVAILABLE

🤯7😢5🤬41👍1🔥1

1 Jun 2026, 19:51 UTC≈1,060 views20 reactionsread 7 August 2026
Forwarded from @agentsoftruthVideo

They're still forcing kids to get the cI0t shots or they can't go to school! Homeschooling saves lives! Credit: rootsofhealing T.me/AgentsOfTruth T.me/AgentsOfTruthChat

🔥10🤬6🖕2😈2

Showing the 12 most recent of 18 posts we hold for @Terrain_Learn. 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 — 774,330 of 1,160,990entries 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

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 4 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Terrain” (@Terrain_Learn), 3,153 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Terrain_Learn.

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.