Other / unclassifiable — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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 the other topics.
Growth
11 measurements spanning 89 days, net -37. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Nov 2026, 14:22
717
+715
11 Oct 2026, 04:58
2
-733
30 Sept 2026, 22:00
735
-11
15 Sept 2026, 17:16
746
-1
7 Sept 2026, 21:56
747
-7
29 Aug 2026, 00:27
754
+5
21 Aug 2026, 10:16
749
-3
13 Aug 2026, 10:08
752
-1
7 Aug 2026, 07:40
753
-1
6 Aug 2026, 16:02
754
no change
6 Aug 2026, 10:30
754
first reading
Engagement
35 posts held, back to 24 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 2 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.7%
avg views ÷ 717 subscribers
Avg views / post
134
13 posts measured
Reaction rate
3.38%
reactions ÷ views · ER floor
Posts in window
13
of 35 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 2 November 2026
Posts held
35 (24 July 2026 – 2 November 2026)
Views total
1,745
Reactions total
59
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Nov 2026, 14:22 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
≈3,190
Videos
≈1,180
Links
≈3,170
Lifetime counters from Telegram’s own channel header, read 3 November 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 40s
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
187 reactions across 33 posts, in 18 distinct kinds. The most used accounts for 15.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
29
15.5%
💯
25
13.4%
👍
24
12.8%
🤣
21
11.2%
❤
19
10.2%
🫡
18
9.63%
😁
12
6.42%
🤯
9
4.81%
⚡
6
3.21%
🎃
5
2.67%
🏆
5
2.67%
👀
3
1.60%
👏
3
1.60%
🥰
3
1.60%
🤬
2
1.07%
👾
1
0.535%
💩
1
0.535%
🤷♀
1
0.535%
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 33 of the 35 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 187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 24 July 2026 to 2 November 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
Telegram’s own ‘edited’ marker: 0 of 13 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Members of Ontario Youth met up with Canadian nationalist Paul Fromm and had conducted a interview, there they discussed the future of Canadian nationalism and the Youth Movement
The Future is ours!
⚡ White Youth In Revolt
⚡ Get Vetted Here
@TrueNorthVetting
Welcome aboard Remigration Airlines. ✈️🍁
The feds won’t enforce immigration laws, so this Halloween we hit the streets offering free one-way courtesy flights back home.
[OFFICIAL TRAILER] Full video drops tomorrow.
T.me/scuffed_loyalist
🚨LIVE NOW🚨
Outlaws: The Truth About Exorcisms
Get in here:
https://rumble.com/v7hj330-outlaws-the-truth-about-exorcisms.html?e9s=src_v1_mfp%2Csrc_v1_mfp_a
Patriotic Weekly Review is LIVE at 7pm UK time (3pm EST) with special guests Dr David Duke, Dr Kevin MacDonald and Dr Patrick Slattery.
- US Midterm Election Special
- A full analysis of domestic and international issues
- Full predictions
You can find tonight's episode of PWR LIVE on:
Rumble: https://rumble.com/v7hhdfo-patriotic-weekly-review-with-david-duke-kevin-macdonald-and-patrick-slatter.html
Odysee: https://o…
The mainstream media can't help itself from talking about us!
Their framing won't work, everyone knows immigration is central to the problems Canadians are faced with.
We must normalize a simple truth: Canada belongs to the people who built it.
Madeline de Verchères: The 14-year-old Who Held the Fort
October 22, 1692. Parents gone, soldiers in the fields. Only women, kids, and elderly left in the wooden fort on the St. Lawrence.
Haudenosaunee warriors attack; settlers seized. Madeline, ~200 paces away in the cabbage garden, sprints to the gate yelling “Aux armes!”
Madeline grabs a musket, races to the bastions, and has everyone shout, fire, and bang to f…
Bring back the Sir John A. MacDonald statue in Hamilton!
Paul Fromm is the only mayoral candidate for Hamilton who will respect and restore our heritage.
Alfred Schaefer will be spending the foreseeable future of his 7 year sentence for saying hurty words against Jews, at the address below. Alfred had previously spent a few years in jail for denying the hollow hoax. He is in his mid 70's.
It would be great if his prison could be flooded with letters and post cards wishing him well from Australia.
Alfred Schaefer
JVA Stadelheim
Stadelheimerstr. 12
81549 Munich
German…
The GoofBusters page is now down.
I have set up a new Facebook page that will highlight what we are doing in the streets to shift society and reclaim them.
Please share this out for me and follow my new page.
https://www.facebook.com/share/1NBZo9Ks45/?mibextid=wwXIfr
💥MAJOR BREAKING: Ottawa scrapped the only rule that required employers to hire Canadians first.
Buried in paragraph two of an IRCC release, employers no longer have to advertise a job, prove no qualified Canadian applied, or pay $1,000 for an LMIA — for a high-wage job offer to count toward permanent residence.
The Labour Market test is gone from the PR route, and verification moves out of ESDC, whose mandate is pr…
The debanking report is out in the US that details how 9 US banks were debanking Americans based on SPLC designations of hate speech or hate entities and individuals.
The practice was banned in the US recently by Executive Order.
I am banned from 33 Australian based banking institutions and a further 8 international fintech services (like Revolut, Airwallex, etc).
Debanking is an extra-legal pressure tool used by …
👀1
Showing the 12 most recent of 35 posts we hold for @EdgeFilesCA. 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
Names
Channels on the register whose handles appear in this channel's posts.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“The Edge Files” (@EdgeFilesCA), 717 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/EdgeFilesCA.
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.