Politics & activism — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
60 measurements spanning 93 days, net -226. 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 9,785–10,695 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
7 Nov 2026, 12:48
10,364
-16
6 Nov 2026, 09:36
10,380
-5
5 Nov 2026, 09:27
10,385
-6
4 Nov 2026, 05:49
10,391
-9
3 Nov 2026, 03:45
10,400
-15
2 Nov 2026, 06:01
10,415
-19
1 Nov 2026, 05:20
10,434
-8
31 Oct 2026, 05:21
10,442
+99
30 Oct 2026, 04:51
10,343
-4
29 Oct 2026, 07:46
10,347
-4
28 Oct 2026, 07:05
10,351
-6
27 Oct 2026, 09:44
10,357
-3
26 Oct 2026, 09:27
10,360
-7
25 Oct 2026, 12:44
10,367
-8
24 Oct 2026, 14:55
10,375
-4
23 Oct 2026, 14:46
10,379
-11
22 Oct 2026, 13:21
10,390
-6
21 Oct 2026, 08:29
10,396
-13
20 Oct 2026, 07:44
10,409
-5
19 Oct 2026, 10:36
10,414
first reading
Engagement
88 posts held, back to 16 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.0%
avg views ÷ 10,364 subscribers
Avg views / post
3,010
26 posts measured
Reaction rate
4.18%
reactions ÷ views · ER floor
Posts in window
26
of 88 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 7 November 2026
Posts held
88 (16 July 2026 – 7 November 2026)
Views total
78,270
Reactions total
3,273
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 09:38 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
79
Videos
379
Links
577
Lifetime counters from Telegram’s own channel header, read 8 November 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
4h 15m
Average length
3m 36s
Measured directly from 71 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
9,992 reactions across 88 posts, in 45 distinct kinds. The most used accounts for 30.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,993
30.0%
❤
1,839
18.4%
🙏
1,174
11.7%
🔥
1,137
11.4%
💯
977
9.78%
🤬
425
4.25%
😈
349
3.49%
🤡
116
1.16%
🤔
112
1.12%
😡
110
1.10%
👏
85
0.851%
👎
78
0.781%
🤮
75
0.751%
😢
73
0.731%
👌
54
0.54%
💩
52
0.52%
👀
49
0.49%
🤯
45
0.45%
⚡
43
0.43%
🖕
41
0.41%
25 further kinds
165
1.65%
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 88 of the 88 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 9,992 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 88 most recent posts we hold, published 16 July 2026 to 7 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: 1 of 26 posts held from the last 30 days (3.85%) 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).
🚨Jimmy Dore SHOWS how Bill Gates DECEIVED EVERYONE
He bought 55 million in Pfizer shares before the "pandemic" that multiplied X 10 for them:
He immediately started saying that the vaccine didn't work, TO INVEST IN A NEW VACCINE AND THUS KEEP MULTIPLYING HIS MILLIONS🤬👇
They branded me a traitor. History will call me a hero. Stay in the know:
https://t.me/EdwardSnowdenChannel
DR. JACK KRUSE EXPOSES THE BIOWEAPON AGENDA
COVID mRNA “vaccines” are BIoweapons — deliberately laced with SV40 (cancer-causing monkey virus from bioweapon research) to trigger turbo cancers, destroy immune systems, and kill people.
This isn’t a mistake. It’s a 75-year bioweapons program that started with SV40 in the old polio vaccines… and was weaponized again in the COVID shots. Pfizer spiked them with SV40 promo…
🕰 🔥THESE IMAGES, THEY NEVER SHOW THEM TO YOU IN SCHOOL🔥 🕰
😳 Children sent to work in the mines. 🚂 Trains filled with orphans. 🍼 Infants displayed like attractions. 🏥 Hospitals and methods we'd rather forget.
📸 These aren't legends. They're real period photographs. 👇
⚠️ Every face tells a story that History wanted to bury.
🎥 Watch until the end. The last image will chill your blood. 🥶
They branded me a traitor. H…
🚨🚨THE MOST POWERFUL VIDEO YOU'LL SEE TODAY.
John Clauser, Nobel Prize in Physics and 1,500 more Scientists at Quantum Korea say:
"THERE IS NO Climate Change, THERE IS NO Climate Emergency"
They branded me a traitor. History will call me a hero. Stay in the know:
https://t.me/EdwardSnowdenChannel
🚨🚨 "The polio vaccine contained a virus called simian virus 40, (promoter contained in the "COVID" "vaccine"), and SV40 is one of the most carcinogenic substances known to man"...
"In fact, scientists around the world use it to induce tumors in rats, but it was present in that vaccine and 98 million people received it, which has caused an explosion of soft tissue cancers in our generation"...
Robert F. Kennedy Jr.
…
I watched them kill Charlie Kirk and celebrate it. I watched them shoot our President in the head and celebrate it.
I watched them kill Trump supporters and celebrate it. If they can shoot Charlie and Trump — what will they do to you and your family? This is not a political battle, it’s a spiritual one. We are fighting good vs. evil. Darkness vs. light. Be on the side of life. God help us, we must win. Vote.
They br…
💥On the leak of over 2000 documents that CONFIRM the direct responsibility of Geørge Søros and Open Society in the manipulation of elections in all European countries... and in South America TOO 🔥
They branded me a traitor. History will call me a hero. Stay in the know:
https://t.me/EdwardSnowdenChannel
🚨 EPSTEIN ISLAND WAS CHILD’S PLAY 🚨
Israel runs the world’s only military prison system built for children. Not adults. Children. The only nation on earth that systematically drags kids as young as twelve into military courts that operate like a factory line of conviction.
The numbers are not hidden. Military court annual reports put the conviction rate at 99.74 percent. Hearings last sixty seconds. Judges convict …
🚨THEY DIDN’T DIE FROM COVID — THEY WERE MURDERED BY FAUCI’S HOSPITAL PROTOCOL!
Dr. Bryan Ardis: "Pfizer has been around for 175 years… and has NEVER cured a single disease in its entire history. Not one."
In the UK, "COVID deaths" were from midazolam + morphine injections — straight-up poisoning of the elderly.
In the United States?
Fauci’s ONLY approved hospital protocol was REMDESIVIR + VENTILATION.
Toxic Remde…
After Film Director Stanley Kubrick died he left a confession along with film footage stating that he filmed the Moon Landings in conjunction with NASA & The US Government.
Here’s some of the footage from the movie set
They branded me a traitor. History will call me a hero. Stay in the know:
https://t.me/EdwardSnowdenChannel
A California nurse says her hospital went from four stillbirths a year to 22 in a SINGLE MONTH after COVID shots were pushed on pregnant women.
That's more stillbirths in 30 days than the previous FIVE YEARS combined.
The hospital sent an email, telling nurses to BRUSH UP ON HANDLING DEAD BABIES' BODIES. But not a shred of concern about WHY they were dying.
Stillbirths are up 6,500% in a single month, and the hosp…
GUILTY OF MASS MURDER:
U.S. Harvard Professor confirms through an Official Court Affidavit that the Covid Vaccines are Bioweapons of Mass Destruction. He says the FDA, CDC, DOD Top Officials and Covid Vaccine Executives should be charged with mass murder.
They branded me a traitor. History will call me a hero. Stay in the know:
https://t.me/EdwardSnowdenChannelll
💯126👍17🙏11😈7❤4⚡3🤔1
Showing the 12 most recent of 88 posts we hold for @EdwardSnowdenChannelll. 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
Named by 3 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.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Edward Snowden” (@EdwardSnowdenChannelll), 10,364 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/EdwardSnowdenChannelll.
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.