This background sound leaks your exact location 🔗 https://www.youtube.com/watch?v=UytYrhYLOKI
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Channel
@PrivSecGoy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,275subscribers
-288 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001292472394 |
|---|---|
| Type | Channel |
| Username | @PrivSecGoy |
| Description | "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) |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/PrivSecGoy |
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 96% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 02:28 | 11,275 | -6 |
| 8 Nov 2026, 18:09 | 11,281 | -2 |
| 7 Nov 2026, 11:40 | 11,283 | +2 |
| 6 Nov 2026, 11:07 | 11,281 | +7 |
| 5 Nov 2026, 14:30 | 11,274 | -3 |
| 4 Nov 2026, 14:16 | 11,277 | -1 |
| 3 Nov 2026, 15:39 | 11,278 | -4 |
| 2 Nov 2026, 17:55 | 11,282 | +4 |
| 1 Nov 2026, 15:56 | 11,278 | -7 |
| 30 Oct 2026, 17:16 | 11,285 | -5 |
| 29 Oct 2026, 15:39 | 11,290 | -4 |
| 28 Oct 2026, 13:08 | 11,294 | -7 |
| 27 Oct 2026, 12:21 | 11,301 | -6 |
| 26 Oct 2026, 14:59 | 11,307 | -7 |
| 25 Oct 2026, 17:31 | 11,314 | -7 |
| 24 Oct 2026, 17:16 | 11,321 | -5 |
| 23 Oct 2026, 15:34 | 11,326 | -14 |
| 22 Oct 2026, 17:45 | 11,340 | -4 |
| 21 Oct 2026, 09:59 | 11,344 | -2 |
| 20 Oct 2026, 09:59 | 11,346 | first reading |
19 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 61 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 19 (19 September 2025 – 5 November 2026) |
| Views total | 2,280 |
| Reactions total | 66 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 09:22 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.
Lifetime counters from Telegram’s own channel header, read 11 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.
Measured directly from 4 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.
2,761 reactions across 19 posts, in 31 distinct kinds. The most used accounts for 26.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤣 | 727 | 26.3% | |
| 💯 | 451 | 16.3% | |
| 😁 | 271 | 9.82% | |
| ❤ | 189 | 6.85% | |
| 🔥 | 173 | 6.27% | |
| 👏 | 129 | 4.67% | |
| 😐 | 127 | 4.60% | |
| 🤬 | 126 | 4.56% | |
| 👍 | 83 | 3.01% | |
| 😱 | 79 | 2.86% | |
| 🙏 | 73 | 2.64% | |
| 🤯 | 72 | 2.61% | |
| 😡 | 64 | 2.32% | |
| ✍ | 55 | 1.99% | |
| 🖕 | 24 | 0.869% | |
| 🤔 | 20 | 0.724% | |
| 🥱 | 20 | 0.724% | |
| 😭 | 18 | 0.652% | |
| ⚡ | 14 | 0.507% | |
| 🤡 | 11 | 0.398% | |
| 11 further kinds | 35 | 1.27% |
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 19 of the 19 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 2,761 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 19 September 2025 to 5 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.
Telegram’s own ‘edited’ marker: 0 of 1 post 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).
This background sound leaks your exact location 🔗 https://www.youtube.com/watch?v=UytYrhYLOKI
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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…
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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…
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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.
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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…
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How an Incel Chud's Instagram Posts Turned Into a Felony Arrest Required watching 👀
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New super strong password just dropped
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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. 🤷♂️"
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https://www.timesofisrael.com/report-israel-hacked-tehran-traffic-cameras-to-track-khamenei-ahead-of-assassination/
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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…
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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…
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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.
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Showing the 12 most recent of 19 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 23 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.
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.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“Privacy & Security Goys” (@PrivSecGoy), 11,275 subscribers as measured 10 November 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.