Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 79% 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 2 other registered channels, 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.
34 measurements spanning 43 days, net -1,093. 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 67,417–68,860 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:21
67,598
+15
15 Sept 2026, 20:18
67,583
-56
14 Sept 2026, 03:18
67,639
-36
12 Sept 2026, 09:37
67,675
-72
10 Sept 2026, 09:36
67,747
-108
7 Sept 2026, 02:57
67,855
-70
4 Sept 2026, 11:37
67,925
-35
3 Sept 2026, 00:53
67,960
-21
2 Sept 2026, 00:13
67,981
-27
31 Aug 2026, 23:17
68,008
-58
30 Aug 2026, 21:05
68,066
-30
29 Aug 2026, 21:25
68,096
-23
28 Aug 2026, 22:34
68,119
-27
28 Aug 2026, 00:43
68,146
-12
26 Aug 2026, 22:24
68,158
-22
25 Aug 2026, 18:52
68,180
-27
24 Aug 2026, 18:16
68,207
-30
23 Aug 2026, 01:03
68,237
-27
21 Aug 2026, 16:08
68,264
-25
20 Aug 2026, 17:15
68,289
first reading
Engagement
73 posts held, back to 13 July 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.3%
avg views ÷ 67,598 subscribers
Avg views / post
15,700
24 posts measured
Reaction rate
1.07%
reactions ÷ views · ER floor
Posts in window
24
of 73 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 28 September 2026
Posts held
73 (13 July 2026 – 28 September 2026)
Views total
377,420
Reactions total
4,028
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 02:49 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
≈493
Videos
≈77
Links
≈2,710
Lifetime counters from Telegram’s own channel header, read 29 September 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.
Video runtime
5m 42s
Average length
1m 08s
Measured directly from 5 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
13,476 reactions across 73 posts, in 48 distinct kinds. The most used accounts for 25.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
3,370
25.0%
👍
1,830
13.6%
❤
1,314
9.75%
🙏
1,157
8.59%
💯
1,033
7.67%
🔥
666
4.94%
🤔
464
3.44%
😢
460
3.41%
🤮
455
3.38%
🤡
358
2.66%
😈
328
2.43%
😡
315
2.34%
😱
254
1.88%
😁
203
1.51%
🤯
183
1.36%
👀
176
1.31%
🖕
172
1.28%
🤣
172
1.28%
👏
82
0.608%
💩
82
0.608%
28 further kinds
402
2.98%
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 73 of the 73 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 13,476 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 13 July 2026 to 28 September 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 73 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @iceagefarmer. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 73 most recent posts we hold for this entry, published 13 July 2026 to 28 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
"Global Meat Crisis" Looms
A meat crisis is now being openly acknowledged:
The top 3 exporters of beef:
Brazil: herd down 8%
US: herd at historic low!
China: herd down 14%
Now we see why the billionaires' bet on lab-grown meat: the war on animal agriculture is working; without a backyard flock, YOU depend on THEM.
(source)
UK to Ration Diesel and Reduce Speed Limits.
"Contingency plans held by government to help the country cope with potential shortages of diesel could be put back on the table as prices at the pump hit a record high this weekend."
As I'd said last week, countries like the UK are now implementing the IEA recommendations from March are being implemented now that the diesel crisis is hitting.
This IS the point of the …
AI-Enhanced Bird Flu Scenario [NEW VIDEO].
A narrative is emerging around an AI-enhanced H5 (Bird Flu) pathogen, released on American farms, that will be used to advance many agendas from the biosecurity/biosurveillance state, to locking down access to AI models, to the end of animal agriculture.
A former Homeland Security official published such a scenario on the very same day she authored the policy response, and…
Milk can't sit. Bulk tanks last 24-48 hours. Then, the milk gets DUMPED.
During COVID, dairies were dumping milk (this is not an AI image!). That was a temporary issue -- negative demand shock when restaurants/schools closed.
This is a STRUCTURAL issue: Diesel north of $6.50, and haulers on 3–5% margins, means deliveries become uneconomic. Rates were locked in advance. Trucks stop running, and dairies are in …
Louisiana Gov. Jeff Landry issued an executive order giving farmers and loggers a tax exemption on diesel that is used for off-road equipment like tractors, skidders and irrigation pumps — but normally not on fuel for highway use. Landry’s order declares a state of emergency and allows farmers and timber harvesters to use the dyed, tax-free diesel in highway vehicles through Oct. 22.
“We’re not going to sit on the …
Waiting for the AI false flag?
"US researchers have announced the creation of new viruses using artificial intelligence, a scientific first that raises hopes for advances in medical treatments while also stoking anxiety about the dangers of the frontier technology."
7 Aug 2026 announcement was just before Anthropic's release that Claude had been used for gain-of-function research on Bird Flu.
The narrative has bee…
A multi-crisis — fuel crisis + Bird Flu outbreak + extreme weather — was simulated in Australia late last year (Exercise Convergence).
Now that the world is short on diesel, and with the former homeland security director warning of an AI-created bird flu, and disasters being declared in advance of a "super El Niño" ...
this is looking more and more like another of those eerily prescient drills...
Diesel is up. Harvest and trucking are already breaking.
The crisis response documents were published in March:
Rationing. Speed limits. License plate-based road access. Digital ID...
They sat on the shelf all summer. This is when they come down.
VIDEO: https://youtu.be/DFiiPGR8h8k
Article + source documents: https://unshadowed.substack.com/p/diesel-is-the-pretext
The AI Bird-Flu Scenario They Just Published [NEW ARTICLE — a must read]
A former Director of Homeland Security just published a scenario in Foreign Affairs detailing a terror cell using AI to design a new H5 and pump it into farms around the US, decimating the food supply, and killing millions.
Numerous tabletop exercises have been conducted in recent months with staggeringly similar scenarios: AI used to enhance…
They learned a lot during COVID about how many people:
* will believe anything
* will comply with anything (whether they believe or not!)
* will not comply
* will actively resist; what forms that resistance takes, and how it can be managed/mitigated
For this next round of energy/food lockdowns, I think they have accounted for some non-compliance accordingly. But as long as there is a critical mass sleepwalking to t…
Event 201 for Food?
In 2015, John Podesta's Center for American Progress co-hosted a tabletop exercise with WWF, Cargill, Mars, and CNA: Food Chain Reaction: A Global Food Security Game.
The event "imagined" a food crisis brought about by geopolitical instability and climate change, prompting price spikes, unrest, and mass migration.
The simulation concluded that isolationism made things worse — the fix was more …
Diesel Is Up. Here's What's Planned [VIDEO]
In March, plans were written for an energy, food, and water crisis. That crisis is here. Those plans need to be understood as they come off the shelf.
YouTube: https://youtu.be/DFiiPGR8h8k
Bitchute: https://www.bitchute.com/video/ljcSTdKUKnxn/
Written report and source documents:
https://unshadowed.substack.com/p/diesel-is-the-pretext
🔥43🙏18🤔14👍7👎7❤6🖕2🤣1
Showing the 12 most recent of 73 posts we hold for @iceagefarmer. 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.
Republished by 80 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 45 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ice Age Farmer” (@iceagefarmer), 67,598 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/iceagefarmer.
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.