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Telegram profile photo for Homo Politicus. Мария Сергеева

Channel

Homo Politicus. Мария Сергеева

@mariasergeyeva

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

20,063subscribers

-67 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001710994275
TypeChannel
Username@mariasergeyeva
Created12 June 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/mariasergeyeva

Topic

Politics & activism — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.

Views per post sit far above this size band

25,700 average views per post against 20,076 subscribers — an engagement rate of 128.0%. Across the 20,206 registered channels in the same cohort — 10,000–31,620 subscribers, posting mainly in Russian — the middle half sit between 5.00% and 18.6%, with a median of 9.75%.

What this was computed from
Window30 days (19 August 2026 18 September 2026)
Posts measured12 of 12 published in the window (0 exact, 12 rounded by Telegram)
Views totalled308,360
Mature posts only128.0% over 12 posts read at least 24h after publication
Subscribers20,076 measured 16 September 2026
Cohortb10000:rus · 20,206 channels · p10 2.60% · p25 5.00% · p50 9.75% · p75 18.6% · p90 31.4%
Position in cohort99.876th percentile · 13.1× the cohort median
Uncertainty±0.173% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 18 September 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.

Growth

20,01720,13020,073.55 August 2026 — 20,130 subscribers6 August 2026 — 20,130 subscribers6 August 2026 — 20,109 subscribers7 August 2026 — 20,106 subscribers8 August 2026 — 20,107 subscribers9 August 2026 — 20,108 subscribers10 August 2026 — 20,093 subscribers11 August 2026 — 20,090 subscribers12 August 2026 — 20,088 subscribers13 August 2026 — 20,094 subscribers15 August 2026 — 20,072 subscribers16 August 2026 — 20,066 subscribers17 August 2026 — 20,058 subscribers18 August 2026 — 20,048 subscribers19 August 2026 — 20,036 subscribers20 August 2026 — 20,058 subscribers22 August 2026 — 20,052 subscribers24 August 2026 — 20,042 subscribers25 August 2026 — 20,039 subscribers26 August 2026 — 20,033 subscribers27 August 2026 — 20,021 subscribers28 August 2026 — 20,020 subscribers29 August 2026 — 20,038 subscribers29 August 2026 — 20,052 subscribers31 August 2026 — 20,050 subscribers1 September 2026 — 20,042 subscribers2 September 2026 — 20,048 subscribers3 September 2026 — 20,045 subscribers5 September 2026 — 20,017 subscribers8 September 2026 — 20,057 subscribers11 September 2026 — 20,098 subscribers13 September 2026 — 20,091 subscribers14 September 2026 — 20,083 subscribers16 September 2026 — 20,076 subscribers19 September 2026 — 20,063 subscribers20,0635 August 202619 September 2026
35 measurements spanning 44 days, net -67. 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 20,000–20,147 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
19 Sept 2026, 00:5620,063-13
16 Sept 2026, 13:5920,076-7
14 Sept 2026, 16:1820,083-8
13 Sept 2026, 04:0020,091-7
11 Sept 2026, 03:3820,098+41
8 Sept 2026, 03:4020,057+40
5 Sept 2026, 03:0020,017-28
3 Sept 2026, 09:0320,045-3
2 Sept 2026, 03:0920,048+6
1 Sept 2026, 03:1320,042-8
31 Aug 2026, 02:3520,050-2
29 Aug 2026, 23:2320,052+14
29 Aug 2026, 01:5320,038+18
28 Aug 2026, 02:5420,020-1
27 Aug 2026, 01:5220,021-12
26 Aug 2026, 03:0820,033-6
25 Aug 2026, 05:1420,039-3
24 Aug 2026, 00:0520,042-10
22 Aug 2026, 11:0720,052-6
20 Aug 2026, 23:5720,058first reading

Engagement

40 posts held, back to 11 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
128.1%
avg views ÷ 20,063 subscribers
Avg views / post
25,700
12 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
12
of 40 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 1 September 2026
Posts held40 (11 June 20261 September 2026)
Views total308,360
Reactions total4,247
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 00:57 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

Video runtime
6m 48s
Average length
2m 16s

Measured directly from 3 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

12,472 reactions across 38 posts, in 15 distinct kinds. The most used accounts for 26.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯3,26026.1%
😁2,22817.9%
2,13217.1%
🔥1,2319.87%
👍1,1389.12%
🦄6044.84%
😢5904.73%
🤔5774.63%
❤‍🔥1741.40%
🙏1621.30%
👏1311.05%
1190.954%
🫡980.786%
🥰220.176%
😍60.048%

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 40 of the 40 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 13,390 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 11 June 2026 to 1 September 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
28
across the posts below
Posts paid on
15
of 40 we hold a reading for · 38%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mariasergeyeva. 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 40 most recent posts we hold for this entry, published 11 June 2026 to 1 September 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

1 Sept 2026, 18:43 UTC≈22,800 views197 reactionsread 3 September 2026

Заявления Зеленского про вероятные атаки на инфраструктуру гражданских авиаперевозок необычны прежде всего тем, что хохлы обычно ничего не анонсируют. Наоборот, сначала делают, потом перемогу в СМИ трубят. Ну и, конечно, не случайно он сделал такие заявления, когда вся наша элита приехала на ВЭФ, и всем, включая Президента, потом в Москву возвращаться. В прошлый раз они на ПМЭФ устроили такой же перформанс с атакой

💯133🦄19🤔15😁14😢97

31 Aug 2026, 18:37 UTC≈6,240 views348 reactionsread 3 September 2026
Photo

Истинная правда. Если женщина перестает вас о чем-то просить и что-то с вас требовать, значит, она готовится вас бросить)

💯202🔥64😁35🦄12😢12🤔10👍8🫡2

28 Aug 2026, 11:21 UTC≈58,800 views736 reactions2 Starsread 3 September 2026

У меня иногда создается впечатление, что избирательная кампания в Госдуму идет немного отдельно от того, чем в реальности живут и дышат люди. И действительно, зачем эти самые люди нужны, если есть прекрасная социология, деление на разные страты и категории, моделирование цифрового избирателя и прочие прибамбасы, позволяющие формулировать правильные месседжи в правильные аудитории. Сейчас поясню, про что я. Есть така

💯462122😢70👍45🦄14😁8👏6🔥6

27 Aug 2026, 11:45 UTC≈10,400 views79 reactionsread 3 September 2026

По этим тонким оговоркам и проговоркам неплохо видна реальная роль королевской семьи на фоне череды меняющихся премьер-министров:)

💯704🔥4🦄1

27 Aug 2026, 07:40 UTC≈9,530 views253 reactions1 Starread 3 September 2026
Photo

В запретграмме сегодня очень хорошо. Открыла - а в ленте французский Макдоналдс с русскими коментами

😁151🫡60🔥27🥰76😢2

26 Aug 2026, 12:55 UTC≈8,650 views380 reactions2 Starsread 3 September 2026
Video

Я продолжу свою информподдержку хорошего проекта «Женщины-герои: Курск» (проект реализуется моими замечательными подругами на грант ИРИ). Сегодня будет рассказ про ещё одну настоящую героиню - простую девушку, в чей дом пришла война. Недалеко от Суджи, всего в 25км от украинской границы находится посёлок Коренево. Место, за которое шли самые ожесточенные бои. И где захватчики были остановлены. У Марии Скроб там жил

206🙏100❤‍🔥44🔥18👍4😁3😢2🤔1

24 Aug 2026, 19:32 UTC≈9,590 views152 reactionsread 3 September 2026

Пропустила прекрасную историю о том, как ЦРУ помогло Стиву Джобсу. Коллега с берега Гудзона замечает, что в США настолько щедро помогают прежде всего своим, а не людям с улицы. Дополню. Мне кажется, это в любой стране так. И не важно, демократия там или авторитаризм. Поскольку сама статья WSJ под пейволом, попросила ИИ пересказать вам содержание: Сам WSJ закрыт пейволом (403), поэтому пересказ собран по подробным

🔥8128👍25🤔15🦄3

23 Aug 2026, 12:23 UTC≈9,650 views532 reactionsread 3 September 2026

Давно я не видела вблизи наших первых лиц. Вчера пригласили на съезд ЕР, на котором была принята Народная программа Единой России, ну и который, собственно, состоял из речи Путина и речи Медведева. Разберу события глазами политконсультанта. Путин, конечно, рок-звезда. Когда вышел в зал (в моем любимом бордовом галстуке) народ не мог угомониться. А было там около четырех тысяч человек, Сначала зал аплодировал, потом

267😁82👍64🦄49🤔23🔥19😢18💯10

21 Aug 2026, 11:12 UTC≈11,900 views62 reactionsread 3 September 2026
Video

"Послушный солдат": Мария Сергеева охарактеризовала нового министра обороны Украины Хмару По словам политического консультанта, предыдущего министра Фёдорова сняли из-за его независимости, поэтому назначили более сговорчивого Хмару. "Это солдат, которому что прикажут, то он и будет делать. Приказывать будут Буданов и Зеленский", — подчеркнула Сергеева. ✅ Полный выпуск смотрите в ВК и RUTUBE 📌 Подписаться на Радио

👏24💯1611🔥7❤‍🔥4

20 Aug 2026, 13:05 UTC≈32,500 views531 reactions1 Starread 3 September 2026
Photo

Единственно нормальная реакция губернатора Тульской области на тему Смешариков. Молодцы, что оперативно прекратили безумие

286💯137👍72🔥18👏8😁5🦄4🤔1

20 Aug 2026, 11:10 UTC≈11,300 views552 reactions3 Starsread 3 September 2026

«Власти заявили, что личность нарушителя установлена, и в полицию также переданы записи с камер видеонаблюдения. На кадре из видео заметен, предположительно, ребенок, который рисует на площадке». Я точно знаю, в какие нарративы это ложится. В классическое западное детское кино про злых взрослых, которые отнимают у детей праздник и мешают радоваться. Ну там директриса из фильма Матильда, Долорес Амбридж из Гарри Потт

💯372😢88😁60🔥159👍4🙏3🦄1

20 Aug 2026, 10:38 UTC≈117,000 views425 reactionsread 3 September 2026

Это настолько безумно, что мне кажется пора уже всем чиновникам провести урок «Разговоров о важном» в котором напомнить, что государство существует не само по себе, а вроде как в интересах его граждан, с целью их безопасности, защиты, комфорта и так далее. Самое то перед выборами «привлекать к ответственности за порчу муниципального имущества» семью, чей ребенок красиво мелками Смешариков нарисовал (даже не импортны

💯319😢59🦄2014😁8👍5

Showing the 12 most recent of 40 posts we hold for @mariasergeyeva. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Жолобов здорового человека
@PavelZholobov · 313
2 posts
Андрей Медведев
@MedvedevVesti · 183,233
1 post
ProViZia
@Pro_viZia · 153
1 post
Анастасия Кашеварова 🇷🇺
@akashevarova · 247,080
1 post
Коншу LIVE
@akonshu · 98
1 post
anastasiya_dreamy
@anastasiya_dreamy · 43
1 post
Андрей Михеев 🇷🇺
@andreymikheev · 2,032
1 post
АПЭК-Тренинг
@apectraining · 31
1 post
Гулов, доктор хаоса
@azatgulov · 171
1 post
Обратная сторона... ...門-я
@behindthelaugh · 169
1 post
BizDev Russia
@bizdevrussia · 364
1 post
БП онлайн
@bponline · 111,013
1 post
Банька по-черному Z
@chernykh_ov · 1,159
1 post
Диджитал-выборы
@digitalelections · 59
1 post
Хвост Виляет…
@khvost_vilyaet · 216
1 post
Скромное Обаяние Пацана
@kukan_sportif · 38,225
1 post
Информация о политике, выборах и общественной жизни России с точки зрения политического юриста.
@molchanovinfo · 178
1 post
НаДо Же Знать!
@nadozz · 1,228
1 post
Вещей обличение невидимых
@nevidimiykrest · 62
1 post
Блог Акушеров | Сторис
@ogbstories · 179
1 post
ПолитФорум
@politforum · 1,346
1 post
НЕЗЫГАРЬ
@russicaru · 430,325
1 post
НОВОСТНОЙ КАНАЛ |СЕГОДНЯ
@sadsnov · 19,891
1 post
Сармат и кедры
@sarmatmedia · 138
1 post
Полный Песец
@siliconvalleynomad · 153
1 post
Terra Ruteni
@terra_ruteni · 155
1 post
Яна Поплавская
@the_yana_poplavskaya · 170,232
1 post
Друид
@wisedruidd · 59,066
1 post
Железобетонно
@zhelezobetonno24 · 121
1 post
ЗВОНАРЁВА. читает😉
@zvonareva1 · 128
1 post

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 50 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 23 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Глебсмит
@glebsmith77 · 28,144
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 10 September 2026
Политбюро 2.0
@politburo2 · 39,791
Telegram ranks this channel #7 of 95 here — alongside 94 others — read 30 August 2026
Выборный
@vibornyk · 91,708
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 16 August 2026
Мысли ВиктОра️
@vik_chanel · 62,170
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 3 September 2026
Выборы, выборы, выборы …
@vybora · 38,775
Telegram ranks this channel #45 of 97 here — alongside 96 others — read 29 August 2026
ПолитологОрлов
@politolog_Orlov · 23,946
Telegram ranks this channel #58 of 98 here — alongside 97 others — read 17 September 2026
Замгубернатора
@matrosou · 37,743
Telegram ranks this channel #60 of 99 here — alongside 98 others — read 1 September 2026
Клуб Регионов
@clubrf · 42,215
Telegram ranks this channel #60 of 97 here — alongside 96 others — read 30 August 2026
ПолитСатирКа
@satirkka · 229,272
Telegram ranks this channel #61 of 96 here — alongside 95 others — read 13 August 2026
16 негритят
@Gubery · 83,757
Telegram ranks this channel #72 of 96 here — alongside 95 others — read 18 August 2026
Как бы Mikhail Vinogradov
@Vinogradov74 · 28,200
Telegram ranks this channel #74 of 93 here — alongside 92 others — read 10 September 2026
Зеленая папка
@greenfolder · 34,148
Telegram ranks this channel #74 of 99 here — alongside 98 others — read 3 September 2026
Мараховское время
@vmarahovsky · 60,799
Telegram ranks this channel #78 of 92 here — alongside 91 others — read 22 August 2026
Пять партий
@agendarussia · 35,196
Telegram ranks this channel #79 of 98 here — alongside 97 others — read 3 September 2026
ЧАДАЕВ
@chadayevru · 102,172
Telegram ranks this channel #80 of 90 here — alongside 89 others — read 16 August 2026
Горячева ДЕЛО говорит
@DeputatGoryacheva · 66,072
Telegram ranks this channel #82 of 89 here — alongside 88 others — read 20 August 2026
Ирина Елифёрова Z
@PravdaEliferova · 43,221
Telegram ranks this channel #85 of 95 here — alongside 94 others — read 28 August 2026
САРДАНА
@RealSardana · 30,323
Telegram ranks this channel #90 of 94 here — alongside 93 others — read 7 September 2026
ЦИК России
@cikrossii · 29,236
Telegram ranks this channel #91 of 93 here — alongside 92 others — read 9 September 2026
ФоРГО
@FoRGO_official · 48,631
Telegram ranks this channel #93 of 99 here — alongside 98 others — read 26 August 2026
Генерал-губернатор
@general_governor · 27,364
Telegram ranks this channel #95 of 95 here — alongside 94 others — read 11 September 2026
Восьмой созыв
@rugosduma · 28,801
Telegram ranks this channel #95 of 96 here — alongside 95 others — read 10 September 2026

This channel appears in 22 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Homo Politicus. Мария Сергеева” (@mariasergeyeva), 20,063 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/mariasergeyeva.

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.