Telegram RegisterThe public register of Telegram
Telegram profile photo for πŸ”— Join in RedBlueTM 🎩

Channel

πŸ”— Join in RedBlueTM 🎩

@RedBlueTM

On this record: Topic Β· Observations Β· Also posting the same content Β· Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Telegram's recommendations Β· Cite this entry

21,311subscribers

+153 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001301613224
TypeChannel
Username@RedBlueTM
DescriptionWebsite: hide01.ir Cyber Defense @SansDefense Sans Pentest @SansPentest Sans Forensic @SansForensic Offensive Security @OffSecPack eLearn Security @eLearnHide01 Root: @Hide01
CreatedBetween 1 March 2018 and 31 July 2021 β€” estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live3 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/RedBlueTM

Topic

Education β€” a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 64% 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 β€” 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts β€” open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Hide01/12009 Jul 2026, 08:27 UTC@RedBlueTM/565 Β· this entry9 Jul 2026, 08:27 UTC1.00under a minute
@Hide01/12019 Jul 2026, 08:33 UTC@RedBlueTM/566 Β· this entry9 Jul 2026, 08:33 UTC1.00under a minute
@Hide01/120211 Jul 2026, 04:30 UTC@RedBlueTM/567 Β· this entry11 Jul 2026, 04:30 UTC1.00under a minute
@Hide01/120311 Jul 2026, 04:30 UTC@RedBlueTM/568 Β· this entry11 Jul 2026, 04:30 UTC1.00under a minute
@Hide01/120815 Jul 2026, 04:52 UTC@RedBlueTM/569 Β· this entry15 Jul 2026, 04:52 UTC1.00under a minute
@Hide01/120915 Jul 2026, 04:52 UTC@RedBlueTM/570 Β· this entry15 Jul 2026, 04:52 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Hide0114 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (13–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp β€” in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

β€œPublished first” means first in this corpus. We hold 19 comparable posts for this entry, running 27 June 2026 to 3 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @RedBlueTM β€” which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through β€” we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable β€” 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times β€” 60%, no better than a coin flip β€” because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying β€” a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story β€” and this measurement cannot tell those apart. How this is measured.

Growth

21,15821,31121,234.56 August 2026 β€” 21,158 subscribers7 August 2026 β€” 21,163 subscribers8 August 2026 β€” 21,171 subscribers9 August 2026 β€” 21,170 subscribers10 August 2026 β€” 21,174 subscribers11 August 2026 β€” 21,179 subscribers12 August 2026 β€” 21,185 subscribers13 August 2026 β€” 21,190 subscribers14 August 2026 β€” 21,201 subscribers16 August 2026 β€” 21,217 subscribers17 August 2026 β€” 21,235 subscribers18 August 2026 β€” 21,239 subscribers19 August 2026 β€” 21,255 subscribers20 August 2026 β€” 21,260 subscribers21 August 2026 β€” 21,262 subscribers22 August 2026 β€” 21,267 subscribers24 August 2026 β€” 21,268 subscribers25 August 2026 β€” 21,265 subscribers26 August 2026 β€” 21,264 subscribers28 August 2026 β€” 21,268 subscribers29 August 2026 β€” 21,271 subscribers30 August 2026 β€” 21,277 subscribers31 August 2026 β€” 21,293 subscribers1 September 2026 β€” 21,295 subscribers2 September 2026 β€” 21,299 subscribers3 September 2026 β€” 21,311 subscribers6 August 20263 September 2026
26 measurements spanning 28 days, net +153. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β€” snapshots are recorded only when a count changes, so gaps mean β€œno change observed”, never β€œinterpolated”. The vertical axis spans 21,135–21,334 and does not start at zero.
Measurement log β€” every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
3 Sept 2026, 14:5721,311+12
2 Sept 2026, 11:2421,299+4
1 Sept 2026, 08:0721,295+2
31 Aug 2026, 10:2521,293+16
30 Aug 2026, 07:1321,277+6
29 Aug 2026, 08:0621,271+3
28 Aug 2026, 10:0821,268+4
26 Aug 2026, 11:3221,264-1
25 Aug 2026, 11:4421,265-3
24 Aug 2026, 11:3521,268+1
22 Aug 2026, 18:1721,267+5
21 Aug 2026, 08:1721,262+2
20 Aug 2026, 11:5221,260+5
19 Aug 2026, 13:3321,255+16
18 Aug 2026, 17:0721,239+4
17 Aug 2026, 20:0621,235+18
16 Aug 2026, 15:2321,217+16
14 Aug 2026, 21:5321,201+11
13 Aug 2026, 09:4521,190+5
12 Aug 2026, 06:2321,185first reading

Engagement

35 posts held, back to 27 June 2026 β€” the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.

ERR Β· 30 days
6.23%
avg views Γ· 21,311 subscribers
Avg views / post
1,330
15 posts measured
Reaction rate
0.164%
reactions Γ· views Β· ER floor
Posts in window
15
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) Γ· views β€” 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. It is computed over the 9 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days Β· latest post in window 25 August 2026
Posts held35 (27 June 2026 – 25 August 2026)
Views total19,906
Reactions total21
Forwards / commentsnot exposed by the public surface β€” not measured, not estimated
Readings taken3 Sept 2026, 16:54 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 β€œcorrecting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form β€” 8.12K, 3.7M β€” 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 β€” read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
403
Videos
5
Links
432

Lifetime counters from Telegram’s own channel header, read 3 September 2026 β€” 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.

Reaction mix

62 reactions across 23 posts, in 2 distinct kinds. The most used accounts for 79.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❀4979.0%
πŸ”₯1321.0%

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 β€” πŸ™ is thanks in one channel and mourning in another β€” 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 β€” 4.34K, 1.2M β€” 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 24 of the 35 sampled posts in this sample. Summed by Telegram’s own count on each post β€” not by adding up the per-emoji breakdown above β€” those same posts carry 62 reactions in total: the kind of figure the paragraph above means by β€œa reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 27 June 2026 to 25 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.

Recent posts

25 Aug 2026, 08:52 UTC988 views3 reactionsread 3 September 2026
Photo

#Exclusive πŸ”₯ #First_Time_Ever πŸ”₯ FOR509: Enterprise Cloud Forensics and Incident Response 2026 LAB πŸ”₯ πŸ”— Download: https://hide01.ir/enterprise-cloud-forensics-incident-response πŸ†• SOF-ELK Lab 2026 Added πŸ†˜ How to download the course? Please visit this linksπŸ‘‡πŸ» https://hide01.ir/usage https://t.me/Hide01/509 @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

❀2πŸ”₯1

23 Aug 2026, 18:44 UTCβ‰ˆ1,070 viewsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Pearson – PowerShell AI: Building AI Applications with PowerShell 2026.8 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/pearson-building-ai-applications-with-powershell πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

23 Aug 2026, 12:40 UTC982 viewsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Pearson – Hands-on Introduction to AWS 2026.8 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/pearson-hands-on-introduction-to-aws πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

23 Aug 2026, 12:40 UTC906 viewsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Pearson – Becoming an AI-Ready Security Leader: How CISOs Balance Innovation, Risk, and Resilience in the AI era 2026.8 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/becoming-an-ai-ready-security-leader πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

20 Aug 2026, 10:10 UTCβ‰ˆ1,250 views1 reactionsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Maltrak – In-Depth Investigation & Threat Hunting 2026 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/maltrak-in-depth-investigation-threat-hunting πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

πŸ”₯1

20 Aug 2026, 10:10 UTCβ‰ˆ1,080 viewsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Maltrak – Hands-on Log Analysis & Network Forensics Cheatsheets 2026 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/maltrak-cybersecurity-cheatsheets/ πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

20 Aug 2026, 10:10 UTCβ‰ˆ1,370 viewsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Maltrak – The IT Fundamentals: Intro To Networking With Wireshark 2026 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/maltrak-intro-to-networking πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

20 Aug 2026, 10:10 UTCβ‰ˆ1,050 views1 reactionsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Maltrak – Hands-on Identity & Cloud Attacks 2026 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/maltrak-hands-on-identity-cloud-attacks πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

πŸ”₯1

20 Aug 2026, 10:10 UTCβ‰ˆ1,040 views3 reactionsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Maltrak – Detecting and Hunting for Malware Activities 2026 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/maltrak-detecting-hunting-malware-activities/ πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

❀3

17 Aug 2026, 15:20 UTCβ‰ˆ1,320 views3 reactionsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Arcanum Sec - TBHM Expansion: From Zero to [BAC] Hero 2026.7 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/tbhm-expansion-from-zero-to-bac-hero πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

πŸ”₯2❀1

12 Aug 2026, 14:21 UTCβ‰ˆ1,840 views1 reactionsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Udemy – The Ultimate AI/LLM/ML Penetration Testing Training Course 2026.6 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/the-ultimate-ai-llm-penetration-testing-training-course πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

❀1

12 Aug 2026, 13:22 UTCβ‰ˆ1,670 viewsread 3 September 2026
Photo

#First_Time_Ever πŸ”₯ #Exclusive πŸ”₯ Udemy – AWS Certified DevOps Engineer Professional 2026.8 – DOP-C02 πŸ†• πŸ”₯ πŸ”— Download: https://hide01.ir/aws-certified-devops-engineer-professional-hands-on πŸ†˜ How to download the course? Please visit one of below links πŸ”½ ℹ️ vip.hide01.ir/p/voucher ℹ️ t.me/Hide01/509 ℹ️ hide01.ir/usage @Hide01 πŸ“° @RedBlueHit πŸ’€πŸ‘€ @RedBlueTM πŸ”’

Showing the 12 most recent of 35 posts we hold for @RedBlueTM. 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 β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints views in full below 1,000 and to three significant figures above, so β‰ˆ1,200,000 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.

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 3 registered channels β€” 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 β€” that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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 β€” 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 β€” the β€œNamed 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 β€” 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.

Hide01
@Hide01 Β· 35,110
Telegram ranks this channel #1 of 41 here β€” alongside 40 others β€” read 2 September 2026
Dr.FarFar
@Dr_FarFar_Channel Β· 41,898
Telegram ranks this channel #11 of 17 here β€” alongside 16 others β€” read 29 August 2026
Udemy
@udemyrip Β· 67,509
Telegram ranks this channel #16 of 36 here β€” alongside 35 others β€” read 21 August 2026
Cyber Security News
@Cyber_Security_Channel Β· 56,489
Telegram ranks this channel #32 of 71 here β€” alongside 70 others β€” read 23 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one β€” 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 3 September 2026 β€” this entry's latest reading, not the date you are reading this.

β€œπŸ”— Join in RedBlueTM πŸŽ©β€ (@RedBlueTM), 21,311 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/RedBlueTM.

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 Β· 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.