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 20 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
6 measurements spanning 34 days, net -19. 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 709–734 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Sept 2026, 16:21
712
-4
1 Sept 2026, 03:25
716
-4
24 Aug 2026, 04:04
720
-6
15 Aug 2026, 17:58
726
-5
8 Aug 2026, 02:04
731
no change
7 Aug 2026, 13:55
731
first reading
Engagement
20 posts held, back to 26 October 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 11 March 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1h 43m
Average length
5m 45s
Measured directly from 18 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
820 reactions across 20 posts, in 24 distinct kinds. The most used accounts for 30.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
250
30.5%
🤬
188
22.9%
👍
111
13.5%
👏
75
9.15%
🙏
74
9.02%
🤮
30
3.66%
🔥
16
1.95%
💔
12
1.46%
🤯
12
1.46%
🥰
12
1.46%
💯
8
0.976%
😭
6
0.732%
🖕
4
0.488%
🤩
4
0.488%
😱
3
0.366%
🙉
3
0.366%
🤪
3
0.366%
💩
2
0.244%
🤷♂
2
0.244%
😈
1
0.122%
4 further kinds
4
0.488%
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 20 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 820 reactions 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 26 October 2024 to 11 March 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.
"Keir Starmer is a traitor and a coward."
I sat down with legendary war correspondent lara logan at her home for an explosive, unfiltered conversation. From the "toilet" state of the UK government to her time on the front lines in Helmand Province while 8 months pregnant, Lara pulls no punches.
We dive into:
- The betrayal of the British military in Afghanistan.
- Her personal insights on Donald Trump and the 20…
Sir Trevor Phillips on Labour dodging race in rape gangs: “The government clearly never wanted these two things to be put together...
..These children are chosen because of their race. They are chosen because they are white and because they’re outside the community of the groomers.”
All whilst Starmer bows to the same community, declaring them the "face of modern Britain"!
Insane development as Zelensky threatens to give his armed forces the address of Hungarian PM Viktor Orban if he blocks billions more of EU money being sent to him!
May 16th, we rise as one, four nations, one Kingdom, under God 🇬🇧
We don't just Unite The Kingdom, but the West.
Make your plans, the time is now.
Unite The Kingdom
Another Muhammed caught in the UK trying to rape British children.
His excuse; "There is no age limit in Sharia law, I don't know about UK rules."
Get these 7th century inbreds off our lands!
Lauren Booth, the sister in law of the man who destroyed Britain, Tony Blair, who is a convert to Islam, called the terror attack on October 7th, where Israelis were killed and raped, “legendary”, and claimed it would make millions “accept Islam”.
Sickening beyond belief.
THERE ARE MILLIONS OUT FOR THE UNITE THE KINGDOM FREE SPEECH FESTIVAL TODAY!!!!
Any mainstream media who prints anything otherwise are LYING.
So feel free to call them out on their bullshit and send this video their way.
In this explosive Urban Scoop investigation, we examine serious allegations of child trafficking in Ukraine — claims that connect the Ukrainian Security Service (SBU), Britain’s MI6, and the UK Foreign Office. The investigation also raises questions about corporate entities operating under the banner of protecting vulnerable children in war-torn regions.
Showing the 12 most recent of 20 posts we hold for @TommyRobinsonNewEra. 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@TommyRobinsonNewEra named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@barakabihimo named in 1 post, 9 August 2026 – 9 August 2026
@keir_starmer named in 1 post, 9 August 2026 – 9 August 2026
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Tommy Robinson” (@TommyRobinsonNewEra), 712 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/TommyRobinsonNewEra.
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.