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Channel

Vladimir S. | Officer's Channel

@officer_cia

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

10,462subscribers

-40 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001581180184
TypeChannel
Username@officer_cia
Description• Articles: @officercia • Blog: officercia.medium.com • X: x.com/officer_secret • Chat: t.me/+C6RfnbB33AYzNGIy
Created19 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/officer_cia

Growth

10,46210,50210,4826 August 2026 — 10,502 subscribers6 August 2026 — 10,502 subscribers7 August 2026 — 10,499 subscribers8 August 2026 — 10,495 subscribers9 August 2026 — 10,494 subscribers10 August 2026 — 10,487 subscribers11 August 2026 — 10,478 subscribers13 August 2026 — 10,484 subscribers16 August 2026 — 10,472 subscribers17 August 2026 — 10,462 subscribers6 August 202617 August 2026
10 measurements spanning 11 days, net -40. 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 10,456–10,508 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 13:1710,462-10
16 Aug 2026, 08:5310,472-12
13 Aug 2026, 12:1710,484+6
11 Aug 2026, 16:5710,478-9
10 Aug 2026, 19:1810,487-7
9 Aug 2026, 20:5410,494-1
8 Aug 2026, 18:5810,495-4
7 Aug 2026, 22:0010,499-3
6 Aug 2026, 17:1510,502no change
6 Aug 2026, 16:4210,502first reading

Engagement

35 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.5%
avg views ÷ 10,462 subscribers
Avg views / post
1,210
35 posts measured
Reaction rate
1.44%
reactions ÷ views · ER floor
Posts in window
35
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
WindowRolling 30 days · latest post in window 17 August 2026
Posts held35 (21 July 202617 August 2026)
Views total42,206
Reactions total609
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 00:28 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
309
Videos
3
Links
2,640

Lifetime counters from Telegram’s own channel header, read 18 August 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.

Reaction mix

609 reactions across 35 posts, in 15 distinct kinds. The most used accounts for 38.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
23338.3%
👍13422.0%
💯8814.4%
🔥6310.3%
345.58%
🤔142.30%
👀101.64%
91.48%
😎50.821%
👌40.657%
👨‍💻40.657%
🤝40.657%
🤩40.657%
🎃20.328%
10.164%

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 35 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 609reactions 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 21 July 2026 to 17 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 35 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @officer_cia. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 35 most recent posts we hold for this entry, published 21 July 2026 to 17 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

17 Aug 2026, 16:12 UTC263 views13 reactionsread 18 August 2026

Much thanks Rekt News for a mention! • https://x.com/rekthq/status/2089301486748439002?s=46 #opsec

7💯3🔥3

Signed Vladimir S. | officercia

17 Aug 2026, 15:11 UTC312 views17 reactionsread 18 August 2026

Please like & RT: https://x.com/officer_secret/status/2089369487359299731?s=46 #security #audit

👍833💯1🤔1🤝1

Signed Vladimir S. | officercia

16 Aug 2026, 23:28 UTC952 views19 reactionsread 18 August 2026

🚀 Just released: Officer’s Big Auditing Book — a free navigation guide for smart-contract auditors! Over the past few years I’ve written 35+ in-depth articles on Solidity security, auditing techniques, common pitfalls, and best practices. I finally compiled them all into one convenient PDF “book-navigation” so you can quickly find the exact topic you need. 📚 Download: https://github.com/OffcierCia/tips-solidity-co

11🔥4💯3👌1

Signed Vladimir S. | officercia

16 Aug 2026, 16:35 UTC535 views17 reactionsread 18 August 2026

Extreme OpSec: Separation Over Software • https://x.com/officer_secret/status/2089027949852836050?s=461 #security #opsec #privacy

83👍3👀1💯1🤔1

Signed Vladimir S. | officercia

15 Aug 2026, 18:58 UTC542 views23 reactionsread 18 August 2026
Forwarded from @defendor_engPhoto

🌪️ How On-Chain Sleuths Demix Tornado Cash Transactions Tornado Cash's zero-knowledge proofs remain unbroken, but behavioral patterns like address reuse, timing, and gas price fingerprinting let analysts probabilistically link deposits to withdrawals. Open-source tools tornado-demix and retrace make these forensic techniques accessible to researchers and compliance teams. 🔗 Details

12👍4👨‍💻3💯21👀1

Signed Vladimir S. | officercia

15 Aug 2026, 13:01 UTC≈1,070 views19 reactionsread 18 August 2026

Nevada police bodycam captured a suspect’s crypto seed phrase. The wallet was drained of more than $1.1 million shortly after the video was published. Imagine your seed phrase becoming public record. Protect it: Mix the words • Add fake ones • Use a cipher. This is an old video from 2022 but IMHO it’s important to keep in mind this incident. Especially after the Coldcard hack. • https://x.com/officer_secret/stat

7👀4🤝3👍2🔥21

Signed Vladimir S. | officercia

14 Aug 2026, 15:31 UTC≈1,040 views18 reactionsread 18 August 2026

At least they know their target market 😂 On a serious note. Privacy glass is essential for anyone who sends or manages cryptocurrency from their phone. I’ve personally heard several real stories, when thieves filmed people’s phone screens over their shoulders with cameras and simply stole the crypto right there. The same groups used social engineering to trick users into typing their full seed phrases into a “fresh

🔥75👍41🤩1

Signed Vladimir S. | officercia

13 Aug 2026, 20:36 UTC≈1,050 views17 reactionsread 18 August 2026

Memes are the only known form of life that behaves like a virus yet exists not in cells but in the mind. They replicate by being copied, mutate with every retelling, and compete for attention the same way biological viruses compete for a host. • https://x.com/officer_secret/status/2087986831547609557?s=46 #analysis

9👍4💯4

Signed Vladimir S. | officercia

12 Aug 2026, 12:58 UTC≈1,180 views20 reactions1 Starread 18 August 2026

That’s why using Tails OS, Whonix, or Kodachi (this looks like it might be the one- can anyone recognize the interface?) with automated data self-destruction is always a smart move… In the footage, two police officers can be seen “working” on the suspect’s computer. One pulls out a flash drive and plugs it in, only for the data to start self-destructing and wipe everything… As reported, the suspected owner of the d

👍143💯3

Signed Vladimir S. | officercia

11 Aug 2026, 16:01 UTC829 views16 reactionsread 18 August 2026

How Viral Culture Rewrites Reputation • https://x.com/officer_secret/status/2087207540799004934?s=46 #research

8👍5💯3

Signed Vladimir S. | officercia

11 Aug 2026, 10:43 UTC≈1,400 views15 reactionsread 18 August 2026

Chemists can now read your life from the molecules left on your phone screen. Traces from fingers & breath reveal: gender, hair dye, high-end cosmetics, coffee/wine habits, antidepressants, time outdoors, diet & more. This lets investigators narrow down who owns the evidence… • https://x.com/officer_secret/status/2087127478108106843?s=46 #investigation

7💯4🔥4

Signed Vladimir S. | officercia

10 Aug 2026, 17:14 UTC874 views17 reactionsread 18 August 2026

In 2015, scientists showed that every person leaves behind a unique “cloud” of bacteria, viruses & fungi. In a study of just 11 volunteers, researchers could correctly identify ~80% of people from the microbes they left in a room - even hours later. Future forensic tool for checking alibis? • https://x.com/officer_secret/status/2086863304773800070?s=46 #security

8👍4💯3🤔2

Signed Vladimir S. | officercia

Showing the 12 most recent of 35 posts we hold for @officer_cia. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 118,929 of 1,548,671entries 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

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.

Mentions

Named by 12 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Investigations by ZachXBT
@investigations · 105,154
Telegram ranks this channel #20 of 64 here — alongside 63 others — read 15 August 2026
Wu Blockchain News
@wublockchainenglish · 250,950
Telegram ranks this channel #65 of 91 here — alongside 90 others — read 10 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“Vladimir S. | Officer's Channel” (@officer_cia), 10,462 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/officer_cia.

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.