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Channel

ФемНовости 🗞

@FeminNews

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

7,724subscribers

+160 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002191774080
TypeChannel
Username@FeminNews
DescriptionО том, как женщины живут и выживают в патриархате. Собираем для вас новости со всего мира. Не являемся первоисточником и СМИ, а лишь постим то, что уже опубликовано - абсолютно все новости вы можете загуглить, все из открытых источников. @anna_fem
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held26
Confirmed unchanged2 times, most recently 12 November 2026
On Telegramt.me/FeminNews

Topic

International news — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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.

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 in near-verbatim form on 4 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@fem_cat/172994 Aug 2026, 11:00 UTC@FeminNews/4200 · this entry4 Aug 2026, 11:00 UTC1.00under a minute
@FeminNews/4246 · this entry17 Aug 2026, 15:00 UTC@fem_cat/1738517 Aug 2026, 15:00 UTC1.00under a minute
@FeminNews/4284 · this entry24 Aug 2026, 08:00 UTC@fem_cat/1743424 Aug 2026, 08:00 UTC1.00under a minute
@fem_cat/1745327 Aug 2026, 08:00 UTC@FeminNews/4321 · this entry27 Aug 2026, 08:00 UTC1.00under a minute
@FeminNews/4332 · this entry28 Aug 2026, 08:00 UTC@fem_cat/1746028 Aug 2026, 08:00 UTC1.00under a minute
@fem_cat/178872 Nov 2026, 08:00 UTC@FeminNews/4590 · this entry2 Nov 2026, 08:00 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@fem_cat9 (8/8 hand-verifiable sample passed)1.00under a minute@fem_cat (5–4)
@femmemy8 (8/8 hand-verifiable sample passed)1.00under a minute@femmemy (5–3)
@feminism_visually_official8 (8/8 hand-verifiable sample passed)1.00under a minuteeven
@bloodysx5 (5/5 hand-verifiable sample passed)0.9618 hours@bloodysx (5–0)

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. 15 of the 17 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 119 comparable posts for this entry, running 31 July 2026 to 12 November 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).

Of the group of 4 channels, the one whose matching posts we hold earliest is @fem_cat. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 13 November 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.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.

Growth

7,5647,7257,644.57 August 2026 — 7,564 subscribers7 August 2026 — 7,564 subscribers8 August 2026 — 7,566 subscribers11 August 2026 — 7,583 subscribers14 August 2026 — 7,585 subscribers17 August 2026 — 7,590 subscribers20 August 2026 — 7,601 subscribers23 August 2026 — 7,608 subscribers26 August 2026 — 7,619 subscribers29 August 2026 — 7,631 subscribers1 September 2026 — 7,628 subscribers5 September 2026 — 7,638 subscribers10 September 2026 — 7,645 subscribers14 September 2026 — 7,647 subscribers18 September 2026 — 7,650 subscribers27 September 2026 — 7,656 subscribers5 October 2026 — 7,672 subscribers12 October 2026 — 7,680 subscribers15 October 2026 — 7,669 subscribers17 October 2026 — 7,666 subscribers20 October 2026 — 7,687 subscribers23 October 2026 — 7,686 subscribers27 October 2026 — 7,718 subscribers30 October 2026 — 7,725 subscribers5 November 2026 — 7,722 subscribers8 November 2026 — 7,724 subscribers7,7247 August 20268 November 2026
26 measurements spanning 93 days, net +160. 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 7,540–7,749 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
8 Nov 2026, 11:567,724+2
5 Nov 2026, 13:177,722-3
30 Oct 2026, 07:397,725+7
27 Oct 2026, 00:197,718+32
23 Oct 2026, 13:557,686-1
20 Oct 2026, 10:577,687+21
17 Oct 2026, 21:357,666-3
15 Oct 2026, 08:197,669-11
12 Oct 2026, 05:007,680+8
5 Oct 2026, 10:167,672+16
27 Sept 2026, 15:597,656+6
18 Sept 2026, 00:427,650+3
14 Sept 2026, 00:177,647+2
10 Sept 2026, 16:017,645+7
5 Sept 2026, 06:557,638+10
1 Sept 2026, 18:587,628-3
29 Aug 2026, 16:587,631+12
26 Aug 2026, 23:357,619+11
23 Aug 2026, 19:277,608+7
20 Aug 2026, 04:597,601first reading

Engagement

126 posts held, back to 31 July 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 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.2%
avg views ÷ 7,724 subscribers
Avg views / post
1,870
47 posts measured
Reaction rate
16.5%
reactions ÷ views · ER floor
Posts in window
47
of 126 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 13 November 2026
Posts held126 (31 July 2026 – 13 November 2026)
Views total87,908
Reactions total14,541
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 15:19 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
≈2,110
Videos
≈488
Links
≈2,590

Lifetime counters from Telegram’s own channel header, read 13 November 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
49m 57s
Average length
1m 40s

Measured directly from 30 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

34,535 reactions across 126 posts, in 38 distinct kinds. The most used accounts for 27.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤬9,46927.4%
custom 53753623035144047445,72516.6%
💔3,2999.55%
custom 53346658906569548502,7307.91%
custom 53753941292220683802,4947.22%
❤1,9925.77%
custom 52131009000877820351,4344.15%
custom 53751474606603220591,2803.71%
custom 52106838685872587868952.59%
🤯7452.16%
🤝6781.96%
custom 53369865731561341235871.70%
custom 53755357772434900295221.51%
custom 52156136363445579635081.47%
🔥2950.854%
👍2670.773%
👏2240.649%
😢2170.628%
🥴1690.489%
✍1520.44%
18 further kinds8532.47%

Custom emoji. 9 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 126 of the 126 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 34,535 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 126 most recent posts we hold, published 31 July 2026 to 13 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 Stars

Stars received
2
across the posts below
Posts paid on
2
of 126 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @FeminNews. 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 126 most recent posts we hold for this entry, published 31 July 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 0 of 47 posts 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).

13 Nov 2026, 13:25 UTC661 views182 reactionsread 13 November 2026
Photo

Бренд из Бурятии раскритиковали за футболку со сценой изнасилования В ноябре бурятское творческое объединение БАТО выпустило футболку «Жестокий век». На ней изображён хан, который насилует девушку. Судя по оформлению, принт отсылает к одноимённому историческому роману Исаи Калашникова, посвящённому эпохе Чингисхана. По словам дизайнеров, «такая вещь получается, когда сначала прочитаешь роман гениального писателя Иса…

🤬118custom 521310090008778203529custom 537536230351440474422custom 537539412922206838013

13 Nov 2026, 10:36 UTC917 views176 reactionsread 13 November 2026
Video

Девушка из Татарстана больше пяти лет добивается наказания для изнасиловавшего её преподавателя практики в медицинском университете. Обвиняемый уже отбывал наказание за насилие над тремя девушками В июне 2021 года Алину Нурмухаметову изнасиловал врач, у которого она проходила практику. Девушка училась на четвёртом курсе Казанского государственного медицинского университета и проходила практику в хирургической клиник…

custom 537539412922206838084🤬61custom 537536230351440474424custom 52131009000877820357

13 Nov 2026, 08:39 UTC≈1,090 views204 reactionsread 13 November 2026

В России разрабатывают закон о патриотическом воспитании — в нём попытаются выстроить иерархию традиционных ценностей Документ практически готов к внесению, сообщил начальник управления президента по вопросам мониторинга и анализа социальных процессов Александр Харичев. Основными ценностями, которые затронет законопроект, будут: патриотизм, преемственность поколений, ответственность за судьбу Отечества. Кроме того…

custom 5334665890656954850127custom 533678147987781666156custom 521310090008778203517🗿4

13 Nov 2026, 04:53 UTC≈1,290 views333 reactionsread 13 November 2026
Photo

Мужчина зарезал бывшую сожительницу прямо на пороге центра помощи женщинам в Петербурге Нападение произошло днем в Калининском районе. Мужчина напал на 25-летнюю женщину в момент, когда она открывала дверь и почти зашла внутрь здания. Он нанес ей 8 ударов ножом и перерезал горло. Жертва скончалась от потери крови. Предварительно, причиной нападения стало расставание. Погибшая ушла от сожителя, который ее постоянно …

🤬163custom 5213100900087782035100custom 537536230351440474451custom 521068386858725878619

12 Nov 2026, 07:28 UTC≈1,490 views291 reactionsread 13 November 2026

Сын зверски убил и расчленил родителей, а их останки спрятал в морозилке В Ростове-на-Дону семейную пару не могли найти целую неделю, пока их сын сам не позвонил в полицию и признался в убийстве. После звонка полицейские обнаружили останки людей в морозилке в их квартире, но убийца успел скрыться. Сейчас его разыскивают. ▪️ФемНовости▪️

🤬187custom 521310090008778203550custom 537536230351440474443custom 521068386858725878611

11 Nov 2026, 13:27 UTC≈1,620 views312 reactionsread 13 November 2026
Photo

Черные кредиторы шантажируют москвичку после микрозайма в 20 тысяч рублей. Они рассылают ИИ-порно с ее сестрой, дипфейки с ЗППП и розыском девушки 23-летняя Екатерина из Москвы рассказала «Осторожно, новости», что в сентябре взяла несколько займов из-за «тяжёлой ситуации в жизни». Один из них — около 21 тысячи рублей в криптовалюте — девушка заняла у компании "Cash up". По словам москвички, адрес сайта организации п…

🤬215custom 521310090008778203548custom 521068386858725878627custom 537536230351440474422

11 Nov 2026, 11:26 UTC≈1,550 views168 reactionsread 13 November 2026
Photo

Полтора миллиарда женщин и девочек живут в климатически неблагоприятных районах Более трети женщин и девочек во всем мире – по меньшей мере 1,5 миллиарда – живут в климатически неблагоприятных районах, где также ограничены возможности стабильного заработка и глубоко укоренилось гендерное неравенство. Об этом во вторник сообщали экспертки структуры «ООН-женщины». Во всем мире женщины уже возглавляют борьбу за лучшее…

custom 537539412922206838092💔32custom 537536230351440474429custom 537553577724349002915

11 Nov 2026, 10:16 UTC≈1,500 views290 reactionsread 13 November 2026

Разговор с ChatGPT помог школьнице раскрыть насилие, о котором она молчала несколько лет В Павлодарской области 39-летнего мужчину приговорили к 20 годам лишения свободы за действия сексуализированного характера в отношении малолетней племянницы. Преступление произошло в марте 2020 года, когда девочке было шесть лет. Из-за страха девочка долго никому не рассказывал о случившемся. Тяжёлые воспоминания вернулись в но…

🤯166custom 537536230351440474481⚡28custom 537539412922206838015

11 Nov 2026, 08:15 UTC≈1,430 views30 reactionsread 13 November 2026
Photo

✨🧡 если хочется найти что-то своё среди сотен каналов — начни здесь • Стыд: психолог о том, как перестать быть скромной и стать опупенной • Маяк для тех, кто блуждает во тьме тревог и переживаний • Ненормальность-нормально: доказательно о мозге, отношениях и нашей «ненормальности» • Люблю арабский: слова, факты, рекомендации. Канал ведётся в светском ключе • Это по любви: канал о том, как расти и при этом не пот…

❤17👏6🔥5👍2

11 Nov 2026, 07:09 UTC≈1,710 views308 reactionsread 13 November 2026

Женщин всё меньше пугает одиночество — особенно при высоком доходе Лишь 26% россиянок боятся одиночества, следует из исследования SuperJob и РИА Новости. Среди женщин с доходом от 150 тысяч рублей в месяц таких всего 15%, а половина уверенно заявляют: одиночество их совсем не пугает. В целом страх одиночества среди экономически активных россиян достиг минимума за 17 лет: сегодня его испытывают 27% опрошенных против …

🤝196custom 537536230351440474449❤35custom 537514746066032205928

10 Nov 2026, 13:00 UTC≈1,680 views437 reactionsread 13 November 2026
Photo

Глава МИД Чехии назвал российских хоккеисток «мужеподобными бабами» и сказал, что женщинам в целом не место в хоккее Министр иностранных дел Чехии Петр Мацинка в ходе выступления на телевидении высказался против визита российских хоккеисток, попутно обозвав их и заявив, что женщинам в целом не место в этом виде спорта: Я считаю хоккей мужским спортом. Возможно, я разочарую наших замечательных феминисток, но на этот…

custom 5336986573156134123278🤬96custom 533466589065695485040custom 537536230351440474423

10 Nov 2026, 09:39 UTC≈1,640 views247 reactionsread 13 November 2026

Онлайн-кинотеатрам и соцсетям хотят выписывать штрафы до 5 млн рублей за фильмы, которые «дискредитируют традиционные ценности» Комитет ГД по уголовному и административному законодательству рекомендовал принять в I чтении законопроект Сергея Боярского и группы депутатов о штрафах за распространение таких произведений и отказ удалять их по требованию Роскомнадзора. За неисполнение или несвоевременное исполнение треб…

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Showing the 12 most recent of 126 posts we hold for @FeminNews. 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.

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 5 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.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“ФемНовости 🗞” (@FeminNews), 7,724 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/FeminNews.

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.