Усі ключові події, прогнози та інсайди Верховної Ради, економічні новини та субʼєктивні думки від Ярослава Железняка.
Як додатися до чату та спільноти: https://t.me/yzheleznyak/16387
Created
2 September 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
National news — 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 52% 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 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 — open both and compare (2 of the pairs behind the counts below)
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 — 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 2 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.
“Published first” means first in this corpus. We hold 35 comparable posts for this entry, running 4 August 2026 to 7 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 @epravda. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 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 — 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 — 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 — 60%, no better than a coin flip — 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 — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
36 measurements spanning 56 days, net -973. 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 97,033–98,879 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
1 Oct 2026, 02:20
97,693
-17
18 Sept 2026, 05:59
97,710
+95
16 Sept 2026, 00:41
97,615
+369
14 Sept 2026, 04:37
97,246
-63
12 Sept 2026, 12:19
97,309
-297
10 Sept 2026, 11:18
97,606
-213
7 Sept 2026, 04:19
97,819
-2
4 Sept 2026, 10:02
97,821
-40
2 Sept 2026, 20:28
97,861
-39
1 Sept 2026, 17:38
97,900
-15
31 Aug 2026, 20:53
97,915
-42
30 Aug 2026, 20:15
97,957
-106
29 Aug 2026, 23:34
98,063
-68
28 Aug 2026, 21:33
98,131
-51
27 Aug 2026, 23:25
98,182
+69
26 Aug 2026, 23:08
98,113
-86
26 Aug 2026, 01:56
98,199
+77
25 Aug 2026, 01:36
98,122
-93
23 Aug 2026, 17:18
98,215
-103
22 Aug 2026, 05:26
98,318
first reading
Engagement
816 posts held, back to 4 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 117 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
28.3%
avg views ÷ 97,693 subscribers
Avg views / post
27,600
422 posts measured
Reaction rate
2.67%
reactions ÷ views · ER floor
Posts in window
422
of 816 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 1 October 2026
Posts held
816 (4 August 2026 – 1 October 2026)
Views total
11,660,650
Reactions total
311,568
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Oct 2026, 23:56 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
≈8,020
Videos
≈463
Links
≈4,200
Lifetime counters from Telegram’s own channel header, read 1 October 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.
Video runtime
51m 27s
Average length
1m 19s
Measured directly from 39 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
603,659 reactions across 800 posts, in 9 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
167,905
27.8%
🤬
154,903
25.7%
👍
138,735
23.0%
❤
46,768
7.75%
🤯
44,190
7.32%
🔥
27,647
4.58%
😢
15,860
2.63%
😱
5,128
0.849%
🙏
2,523
0.418%
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 816 of the 816 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 616,712 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 816 most recent posts we hold, published 4 August 2026 to 1 October 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.
🇺🇸 США запровадили санкції проти А7....
На вихідні вам підготував відео на основі розслідування the Financial Times якраз про цей російський фінансовий шлюз. Це ще один був шлях, як ворог спокійно заходив у мережі провідних банків Світу...
https://home.treasury.gov/news/press-releases/sb0644/
🕵️♂️ Зібрав вам "найяскравіші" моменти з засідання ТСК
01 жовтня останній день подачі правок у Бюджет 2027. Наші, про збільшення зарплат військовим мінімум на +20% ми подали.
Сьогодні показали на прикладі декількох схем, де ці гроші можна знайти без збільшення податків.
https://youtu.be/cPfpq16X-Bw?si=UWosDzE0axYncCdX
🕵️♂️ Короткий висновок з ТСК по карго та авто…..
Якщо б за 8 років влада не займалась тим, щоб покривала контрабанду, а справді напрацювала ефективні механізми і зараз Податкова-БЕБ-Митниця працювали максимально ефективно…..
То план підняти зарплату військовим на +20% за рахунок детінізації, був би не амбітним, а дуже консервативним…..
🕵️♂️ По цьому кейсу в справі ми чули, що певні особи у прокуратурі хотіли б закрити цю справу)
Так ось, щоб довго не пояснювати - навіть не розраховуйте )
🏛 ТСК авто)
Підняв на ТСК питання схем із заниженням податків під час імпорту автомобілів.
Зокрема — кримінального провадження №62022000000000847, яке, згідно з ухвалою Печерського суду, стосується Михайла Смолки.
Як описує схему сторона обвинувачення, спрощено:
— людина купує автомобіль за кордоном за готівку;
— передає гроші на митні платежі Смолці чи іншим довіреним особам;
— через офшорні компанії автомобіль о…
🏛 ТСК карго
Показав Податковій дві схеми з підміною кодів УКТЗЕД:
▪️трикотажне полотно завозять за кодом 6001, а продають уже як тканину для гідроізоляції;
▪️насос завозять за кодом 8413 за 200 грн, а продають як «паливний насос» за 148 750 грн.
🏛 ТСК карго
На ТСК озвучили приклади розбіжностей між митною вартістю та ціною реалізації:
ремінь Brioni завозився по 36 грн, а продавався по 23 360 грн - зростання у 799 разів.
Жіночі штани Dolce & Gabbana задекларували по 184 грн, реалізували по 114 567 грн, пальто Hugo Boss - 53 грн на ввозі й 21,5 тис. грн у продажу (у 406 разів).
🏛 ТСК по карго
⚡️ У залі прозвучали цифри про вартість розмитнення одного кілограма тканини по різних митницях: Запорізька - 2,8 долара, Житомирська - 2,6, Чернівецька - 10 центів, Закарпатська - 30 центів, у Сумській - 0,006 долара.
Тобто йдеться про однакові вартісні показники тканини.
По п'яти митницях у 2026 році зафіксовано падіння цих платежів порівняно з 2025-м: Сумська, Харківська (мінус 10 центів), Чернів…
🏛 ТСК по карго
🎙️Представник бізнесу Андрій Антонюк розповів на ТСК, що карго-компанії сьогодні пропонують підприємцям. Перший варіант - завезти товар за заниженою вартістю, 5-6 доларів за кілограм, з мінімальними документами. Трохи дорожче, але ризиковано: можуть перевірити, донарахувати, а то й конфіскувати.
Другий варіант карго називають найкращим: «без документів, під видом гуманітарної допомоги, трошки довше, …
🛃Перейшли до карго
Депутат показав у ТСК переписку з ще однією карго-компанією - «Егор Карго»: після прайсу на послуги клієнту прямо відповідають, що жодних документів на розмитнення не буде - «все в чорну».
⚡️ ТСК знайшла 97 сайтів карго-компаній, які відкрито рекламують завезення товарів «в чорну». За словами депутата, компанії маркують пакунки власним брендом і працюють повністю відкрито - на білбордах та в Inst…
🤷♂️ Попри заяви у (так звані) ЗМІ, але сам Василь Веселий знову не з'явився на виклик ТСК.
Тож, народні депутати - члени ТСК одноголосно підтримали процедуру примусового приведення цього пана для надання показів. Відповідне рішення буде відправлено у правоохоронні органи для негайного виконання.
👍532🤣60❤34🔥25🤯9
Showing the 12 most recent of 816 posts we hold for @yzheleznyak. 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.
Polls
The 6 most recent of 12 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Щотижневе опитування #217
💰 Ваші очікування, що буде з економічною ситуацією в країні протягом року?
📈 Стане краще ніж зараз7%
📉 Стане гірше ніж зараз86%
🤷♂️ Буде так само7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 816 most recent posts we hold, published 4 August 2026 to 1 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 64 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 70 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@yzheleznyak named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@oleksandr_tsyvinskyi named in 1 post, 21 September 2026 – 21 September 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
БЕБ | Бюро економічної безпеки України @esbu_gov_ua · 13,673#95
Read from Telegram’s recommendation API, most recently 16 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Ціна держави @costukraine · 37,580 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 1 September 2026
Данило Гетманцев @getmantsevdanil · 59,856 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 17 August 2026
Бізнес-Patriot @BiznesPatriot · 21,086 Telegram ranks this channel #2 of 62 here — alongside 61 others — read 24 September 2026
УП. Кляті питання @ukr_pravda · 24,587 Telegram ranks this channel #3 of 79 here — alongside 78 others — read 15 September 2026
Дон Кихот @DonUkraine · 22,890 Telegram ranks this channel #4 of 75 here — alongside 74 others — read 18 September 2026
Олександр Нотевський @notevskyi · 26,076 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 13 September 2026
ZN.UA (Дзеркало тижня / Зеркало недели): новини України та світу, аналітика, інтерв'ю | Війна @znua_live · 58,648 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 22 August 2026
Мінфін @Minfin_com_ua · 32,675 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 5 September 2026
Mortis Æterna / Департамент пасивних заходів @mortisaeterna · 19,667 Telegram ranks this channel #7 of 74 here — alongside 73 others — read 30 September 2026
Останній Капіталіст ✙ @OstanniyCapitalist · 118,320 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 14 August 2026
ВИЙ.Ukraine @viyukraine · 21,876 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 22 September 2026
Юрій Богданов @yb_ua · 26,487 Telegram ranks this channel #9 of 79 here — alongside 78 others — read 12 September 2026
Є ПИТАННЯ @e_p_2026 · 26,508 Telegram ranks this channel #9 of 82 here — alongside 81 others — read 12 September 2026
Орестократія @orestokratiia · 23,137 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 19 September 2026
🇺🇦 Віталій Коваль @vitalykoval8 · 42,854 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 28 August 2026
ШО, АЗАРТНИЙ? @sho_azartny · 126,904 Telegram ranks this channel #12 of 78 here — alongside 77 others — read 15 August 2026
Українська правда @ukrpravda_news · 201,174 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 11 August 2026
Європейська Солідарність @officialeurosolidarity · 19,488 Telegram ranks this channel #13 of 80 here — alongside 79 others — read 1 October 2026
Стисло і по суті @te_legal · 25,734 Telegram ranks this channel #15 of 66 here — alongside 65 others — read 17 September 2026
Inzhur @InzhurREIT · 57,223 Telegram ranks this channel #15 of 84 here — alongside 83 others — read 29 August 2026
Harley Quinn @harley_with_love · 30,345 Telegram ranks this channel #16 of 80 here — alongside 79 others — read 8 September 2026
Верховна Рада України @verkhovnaradaukrainy · 97,071 Telegram ranks this channel #17 of 93 here — alongside 92 others — read 16 August 2026
Шрайк @RomanShrike · 42,187 Telegram ranks this channel #19 of 77 here — alongside 76 others — read 29 August 2026
Середич.info @seredych · 31,948 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 6 September 2026
This channel appears in 300 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
3 Wikipedia articles name this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Бесплатная (нулевая) растаможка авто в Украине в 2022г.(ru.wikipedia.org) “…3 месяца в Украину было ввезено 211 тысяч{{cite web |url = https://t.me/yzheleznyak/1846 |title = Железный нардеп |website = Telegram |access-date…” read 13 September 2026
Железняк, Ярослав Иванович(ru.wikipedia.org) “…{{примечания}}
== Ссылки ==
* {{facebook|zheleznyak.y|Ярослав Железняк}}
* [https://t.me/yzheleznyak «Железный нардеп»] — авторский Telegram-канал Ярослава Железняка…” read 13 September 2026
Железняк Ярослав Іванович(uk.wikipedia.org) “…Железняк}}
* [https://t.me/yzheleznyak «Железный нардеп»] {{Webarchive|url=https://web.archive.org/web/20210121063153/https://t.me/yzheleznyak |date=21…” read 13 September 2026
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 1 October 2026 — this
entry's latest reading, not the date you are reading this.
“Залізний нардеп” (@yzheleznyak), 97,693 subscribers as measured 1 October 2026. Telegram Register, tgregister.com/channel/yzheleznyak.
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.