"One well-known neo-Nazi channel that provides tradecraft to evade authorities online" –VICE News
"A great and important channel... performing probably one of the best forms of online activism" –Robert J. Corner
Created
3 November 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
9 measurements spanning 7 days, net -7. 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 11,541–11,566 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 22:19
11,556
+5
11 Aug 2026, 21:02
11,551
+7
10 Aug 2026, 22:51
11,544
-5
10 Aug 2026, 01:51
11,549
-2
8 Aug 2026, 23:03
11,551
-2
7 Aug 2026, 20:22
11,553
-7
6 Aug 2026, 18:22
11,560
-3
6 Aug 2026, 10:07
11,563
no change
6 Aug 2026, 09:47
11,563
first reading
Engagement
18 posts held, back to 19 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
22.0%
avg views ÷ 11,556 subscribers
Avg views / post
2,540
1 post measured
Reaction rate
3.19%
reactions ÷ views · ER floor
Posts in window
1
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
Window
Rolling 30 days · latest post in window 8 August 2026
Posts held
18 (19 September 2025 – 8 August 2026)
Views total
2,540
Reactions total
81
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 04:02 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
436
Videos
120
Links
630
Lifetime counters from Telegram’s own channel header, read 13 August 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
33m 15s
Average length
11m 05s
Measured directly from 3 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
2,606 reactions across 18 posts, in 31 distinct kinds. The most used accounts for 27.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
717
27.5%
💯
435
16.7%
😁
263
10.1%
❤
180
6.91%
🔥
162
6.22%
🤬
123
4.72%
😐
119
4.57%
👏
110
4.22%
👍
81
3.11%
😱
74
2.84%
🙏
73
2.80%
😡
64
2.46%
✍
38
1.46%
🤯
32
1.23%
🖕
22
0.844%
🤔
20
0.767%
🥱
20
0.767%
😭
18
0.691%
⚡
12
0.46%
🤡
11
0.422%
11 further kinds
32
1.23%
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 2,606reactions 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 19 September 2025 to 8 August 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.
The topic of Flock cameras is an interesting one.
I can speak from experience that these are used to accurately identify suspects in criminal cases. You should see the look on their face when the fellas at the Bureau catch a perp in a lie, showing them video evidence of their every movement that night. "No expectation of privacy in public."
On the other hand, current privacy laws are outdated and, frankly, bullshit…
More than $51 billion in taxes goes directly to White racial replacement. One can't help but imagine how a fraction of this hefty sum could be used to actually benefit our people.
But the first thing that stands out to me is the spending disparity between the U.S. and Canada. It's a crazy stat, considering U.S. GDP is more than 11x Canada's.
In other words – and assuming everyone pays their taxes – each American pa…
Immigration NGO tracking website:
https://asylum.ngo/
18,281 confirmed organizations listed as of posting.
Includes revenue, number of employees/volunteers, physical addresses, websites, etc. where available.
No idea who created this site, but it looks like a useful project.
When nationalist parties take power across the West, the leaders of these NGOs should be charged with treason.
tl;dw – FBI with local police grill teenage boys over fedposting made against foids and jews. The female fed promises that they will not be arrested, instead reading out their posts and messages in front of their parents to shame them. The male featured in the thumbnail is antagonistic during the questioning, denouncing alphabet agencies as the real terrorists by abusing the PATRIOT Act. As consequence for his insubo…
Attention Nekogram Users:
Your user IDs and phone numbers have been sent to the Chinese(?) dev
https://github.com/Nekogram/Nekogram/issues/336
https://thebadinteger.github.io/nekogram-phone-exfiltration/
https://github.com/RomashkaTea/nekogram-proof-of-logging
The dev doesn’t deny it: "It is exactly what it looks like; it is what it is. 🤷♂️"
Consider wannabe journalist Rachel Gilmore, who targets White dissidents in Canada. She said the quiet part out loud, admitting in her one vlog that she received exclusive intelligence on active club participants from "a government source," likely within the RCMP or CSIS (Canadian equivalent of the FBI and NSA). She was then mogged in her comments by people across the political spectrum for being a fed.
As people of…
Canadian Military Members Doxed in WhiteDate Hack 🪖
Thousands of accounts and their private messages were hacked in a coordinated attack by Antifa in collaboration with the State Intelligensia apparatus this past December. Users have been identified based on information they provided to the platform, including email addresses that were linked to other social media accounts and unscrubbed EXIF data. Over 100GB of use…
Maintaining an online persona may stroke your ego, but sharing information (no matter how seemingly innocuous) creates a permanent paper trail for adversaries to identify you.
While this has always been true, LLMs are a force multiplier in deanonymization efforts.
Reusing usernames, emails, and passwords is simply poor internet hygiene.
Showing the 12 most recent of 18 posts we hold for @PrivSecGoy. 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 — 255,656 of 1,151,006entries 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
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 21 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Privacy & Security Goys” (@PrivSecGoy), 11,556 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/PrivSecGoy.
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.
