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Channel
@cyberSecurityCourse3
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
4,334subscribers
+43 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002478585626 |
|---|---|
| Type | Channel |
| Username | @cyberSecurityCourse3 |
| Created | 14 February 2025 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/cyberSecurityCourse3 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 01:37 | 4,334 | +8 |
| 27 Aug 2026, 09:48 | 4,326 | -1 |
| 24 Aug 2026, 18:56 | 4,327 | +6 |
| 20 Aug 2026, 23:48 | 4,321 | +7 |
| 18 Aug 2026, 04:42 | 4,314 | +5 |
| 14 Aug 2026, 18:28 | 4,309 | +16 |
| 8 Aug 2026, 07:44 | 4,293 | +2 |
| 7 Aug 2026, 16:31 | 4,291 | no change |
| 7 Aug 2026, 16:20 | 4,291 | first reading |
9 posts held, back to 14 February 2025 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 4 pagesof 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 9 posts for this entry, the most recent from 6 June 2025. An engagement rate over an empty window would be a number about nothing.
67 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 61.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 41 | 61.2% | |
| 👍 | 14 | 20.9% | |
| 💯 | 6 | 8.96% | |
| 🥰 | 3 | 4.48% | |
| 😁 | 2 | 2.99% | |
| 👎 | 1 | 1.49% |
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 8 of the 9 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 67reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 14 February 2025 to 6 June 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
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Channel created
Showing the 9 most recent of 9 posts we hold for @cyberSecurityCourse3. 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.
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.
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.
@cyberSecurityCourse3 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.
References a handle that is not a live channel — we have no record it ever was one.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“CyberSecurity Heroes” (@cyberSecurityCourse3), 4,334 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/cyberSecurityCourse3.
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.