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Channel

Медач | Medical Channel

@medach

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

28,123subscribers

-86 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-1001063607035
TypeChannel
Username@medach
Created1 June 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/medach

Topic

Health & wellness — 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 97% 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)
Posted firstThenOverlapGap
@rapid_medicine/84723 Jul 2026, 14:44 UTC@medach/5044 · this entry23 Jul 2026, 18:13 UTC1.003.5 hours
@rapid_medicine/8603 Aug 2026, 05:46 UTC@medach/5058 · this entry3 Aug 2026, 05:46 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@rapid_medicine12 (8/8 hand-verifiable sample passed)1.0019 minutes@rapid_medicine (75)

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 16 comparable posts for this entry, running 22 July 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 @medach — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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.

Growth

28,12328,21028,166.55 August 2026 — 28,209 subscribers6 August 2026 — 28,209 subscribers6 August 2026 — 28,208 subscribers7 August 2026 — 28,207 subscribers8 August 2026 — 28,208 subscribers9 August 2026 — 28,210 subscribers10 August 2026 — 28,196 subscribers11 August 2026 — 28,197 subscribers12 August 2026 — 28,201 subscribers13 August 2026 — 28,205 subscribers14 August 2026 — 28,194 subscribers16 August 2026 — 28,187 subscribers17 August 2026 — 28,182 subscribers18 August 2026 — 28,186 subscribers19 August 2026 — 28,184 subscribers20 August 2026 — 28,182 subscribers21 August 2026 — 28,185 subscribers22 August 2026 — 28,187 subscribers24 August 2026 — 28,186 subscribers25 August 2026 — 28,190 subscribers26 August 2026 — 28,187 subscribers27 August 2026 — 28,188 subscribers28 August 2026 — 28,184 subscribers29 August 2026 — 28,182 subscribers30 August 2026 — 28,169 subscribers31 August 2026 — 28,166 subscribers1 September 2026 — 28,159 subscribers2 September 2026 — 28,158 subscribers3 September 2026 — 28,142 subscribers6 September 2026 — 28,136 subscribers9 September 2026 — 28,123 subscribers5 August 20269 September 2026
31 measurements spanning 35 days, net -86. 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 28,110–28,223 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
9 Sept 2026, 17:1928,123-13
6 Sept 2026, 07:1628,136-6
3 Sept 2026, 22:4128,142-16
2 Sept 2026, 12:3528,158-1
1 Sept 2026, 10:0928,159-7
31 Aug 2026, 11:0228,166-3
30 Aug 2026, 13:3828,169-13
29 Aug 2026, 14:5528,182-2
28 Aug 2026, 14:1628,184-4
27 Aug 2026, 12:0228,188+1
26 Aug 2026, 08:5528,187-3
25 Aug 2026, 10:5228,190+4
24 Aug 2026, 10:3328,186-1
22 Aug 2026, 18:4828,187+2
21 Aug 2026, 12:1728,185+3
20 Aug 2026, 12:5628,182-2
19 Aug 2026, 14:1228,184-2
18 Aug 2026, 13:4528,186+4
17 Aug 2026, 16:1728,182-5
16 Aug 2026, 13:4528,187first reading

Engagement

44 posts held, back to 22 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.80%
avg views ÷ 28,123 subscribers
Avg views / post
1,910
21 posts measured
Reaction rate
0.72%
reactions ÷ views · ER floor
Posts in window
21
of 44 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 3 September 2026
Posts held44 (22 July 20263 September 2026)
Views total40,140
Reactions total289
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 07:00 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.

Reaction mix

537 reactions across 41 posts, in 11 distinct kinds. The most used accounts for 50.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍27050.3%
🔥13324.8%
🤡356.52%
👎244.47%
🤯213.91%
👏162.98%
🎉101.86%
😨101.86%
71.30%
🤔61.12%
🫡50.931%

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 43 of the 44 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 596 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 44 most recent posts we hold, published 22 July 2026 to 3 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
2
across the posts below
Posts paid on
2
of 44 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @medach. 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 44 most recent posts we hold for this entry, published 22 July 2026 to 3 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.

Advertising

Ad load
2.27%
1 of 44 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
725
over 1 measured post
Median views · rest
2,060
over 43 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqueQov313 September 20263 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 44 most recent posts we hold, published 22 July 2026 to 3 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

3 Sept 2026, 13:29 UTC725 views10 reactionsread 4 September 2026
Advertisementerid 2VtzqueQov3Photo

❓ Вы можете любить клинику, в которой работаете. Но хотите ли вы от неё зависеть? Сегодня у вас полная запись. Клиника приводит пациентов, администраторы заполняют окна, работает реклама. А если через год вы захотите сменить место работы, открыть собственную практику или просто выбирать, где и на каких условиях работать? Сколько в вашей сегодняшней востребованности принадлежит лично вам — вашему имени, репутации и

🎉5👍3🔥2

3 Sept 2026, 11:24 UTC835 views2 reactionsread 4 September 2026

Дорогие коллеги, очень просим принять участие в опросе. Основной вектор работ уже виден, но большее количество респондентов – точнее понимание того инструмента, который реально нужен врачам.

👍2

2 Sept 2026, 16:07 UTC≈1,030 views7 reactionsread 4 September 2026
Forwarded from @iqdocai

IQDOC начинает развивать персональные ленты медицинской информации Вы сможете указать интересующие вас темы, а IQDOC будет отслеживать появление новых клинических рекомендаций, нормативных документов, научных публикаций и гайдлайнов. Например, офтальмолог сможет собрать ленту по катарактальной хирургии, специалист по качеству – следить за изменениями обязательных документов, а исследователь – за новыми публикациями

👍6🔥1

31 Aug 2026, 12:24 UTC≈1,330 views18 reactionsread 4 September 2026
Forwarded from @sonsofmedicinePhoto

🔥🔥В 1888 году в Британии разразился скандал, имевший в том числе медицинские последствия. После публикации статьи Энни Безант «White Slavery in London» о тяжёлых условиях труда на лондонской спичечной фабрике Bryant & May руководство стало искать сотрудниц, разговаривавших с прессой, и пыталось заставить рабочих подписать опровержение. Работницы жаловались на низкую оплату, систему штрафов, произвол мастеров и опасн

👍9😨72

31 Aug 2026, 06:19 UTC≈1,150 views11 reactionsread 4 September 2026
Forwarded from @iqdocaiPhoto

Как искать публикации в PubMed через IQDOC PubMed – поисковая система и база данных, содержащая миллионы аннотаций и библиографических записей по медицинским, биологическим и биомедицинским наукам. IQDOC теперь может к ней подключаться для поиска нужной информации. Используйте поиск по PubMed, когда нужны научные статьи, систематические обзоры, метаанализы или публикации за определенный период. 1. Выберите PubMed 🧬

👍7🔥4

29 Aug 2026, 09:55 UTC≈1,280 views1 reactionsread 4 September 2026
Forwarded from @iqdocai

Бесплатно подключим IQDOC AI к вашему врачебному чату 👨‍⚕️ Подключите IQDOC к чату отделения, клиники или профессионального сообщества врачей – бесплатно и без ограничений для участников. Клинические рекомендации, поиск медицинской информации и публикаций в PubMed, клинические калькуляторы и другие возможности будут доступны прямо в чате. Оставьте заявку, и мы вместе настроим IQDOC так, чтобы он был действительно п

🔥1

29 Aug 2026, 07:35 UTC≈1,420 views4 reactionsread 4 September 2026
Forwarded from @sonsofmedicinePhoto

🤔Открываем из любопытства «Артикул воинский» Петра I от 1715 года и читаем. Это на наши деньги глава 33 Уголовного кодекса РФ, разнообразные Преступления против военной службы. За убийство (глава 19) полагалось жертвы кровь «паки отмстить, и без всякой милости [убийце] голову отсечь». Однако есть важные уточнения. Во-первых, «надлежит подлинно ведать, что смерть всеконечно от битья приключилась». То есть, что сме

👍4

28 Aug 2026, 07:26 UTC≈1,540 views2 reactionsread 4 September 2026
Forwarded from @iqdocaiPhoto

IQDOC получил масштабное обновление 1.4 Вот что в версии 1.4: 🎙Голосовой ввод – теперь IQDOC понимает ваш голос и вы можете с ним общаться таким образом через веб-сайт, телеграм-бота и макс-бота. Надиктовывайте клинические запросы прямо на лету и получайте быстрые и точные ответы. 🧬 PubMed – новый режим поиска, который ищет по самой крупной в мире базе медицинских публикаций. Бесчисленное множество статей прямо у

🔥2

23 Aug 2026, 07:59 UTC≈2,140 views13 reactionsread 4 September 2026
Forwarded from @iqdocaiPhoto

Абсолютное число нейтрофилов: маленький расчет, большие клинические решения Почему иногда онколог отменяет очередной курс химиотерапии, хотя пациент чувствует себя хорошо? Почему температура 38 °C у одного человека — повод выпить жаропонижающее, а у другого — показание к срочной госпитализации в инфекционный стационар? Нейтрофилы быстро мигрируют в очаг воспаления, уничтожают микроорганизмы путем фагоцитоза, выделя

👍11👏2

21 Aug 2026, 08:01 UTC≈2,040 views21 reactionsread 4 September 2026
Forwarded from @rapid_medicinePhoto

🟪В России одобрили камрелизумаб для периоперационного лечения тройного негативного рака молочной железы Минздрав расширил показания препарата «Арейма» (камрелизумаб): теперь его можно применять в комбинации с химиотерапией при раннем и местно-распространенном тройном негативном раке молочной железы (ТНРМЖ). Камрелизумаб будут добавлять к химиотерапии до операции, а после хирургического лечения возможно продолжение в

🔥11👍6👏2🎉1🤔1

20 Aug 2026, 15:51 UTC≈1,900 views21 reactionsread 4 September 2026
Forwarded from @rapid_medicinePhoto

Поддерживать врачей можно по-разному: ПРОМОМЕД вышел на старт Медрегаты-2026 Компания стала партнером благотворительной серии парусных гонок фонда «ВБлагодарность» для медицинских работников. Собранные в рамках проекта средства направляют медикам, оказавшимся в сложной жизненной ситуации. ПРОМОМЕД поддержал инициативу не только как партнер — сотрудники компании сами вошли в состав одного из экипажей. В последнем от

👍11🔥73

20 Aug 2026, 12:08 UTC≈2,060 views9 reactionsread 4 September 2026
Photo

🤩Воспаление давно известно как важная часть патогенеза атеросклероза, а низкоинтенсивное системное воспаление - как фактор риска многих заболеваний, в том числе сердечно-сосудистых. В этой области особенно важным видят избирательное подавление воспаления в сердце и сосудистой стенке у пациентов с ИБС и ХСН. О том, что сейчас пробуют и перспективных направлениях - в новом материале. #medach_news #кардиология #иммунол

👍9

Showing the 12 most recent of 44 posts we hold for @medach. 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

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 44 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.

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.

SYNAPSE I СИНАПС
@synapse_channel1 · 40,050
Telegram ranks this channel #9 of 88 here — alongside 87 others — read 4 September 2026
Намочи манту
@namochimanturu · 56,621
Telegram ranks this channel #14 of 95 here — alongside 94 others — read 23 August 2026
Немедицина
@ybody · 40,913
Telegram ranks this channel #15 of 61 here — alongside 60 others — read 29 August 2026
Медицинская Россия
@mediamedics · 143,134
Telegram ranks this channel #20 of 95 here — alongside 94 others — read 13 August 2026
Клинфарм замес | Евгений Никитин
@tgnikitin · 44,638
Telegram ranks this channel #26 of 87 here — alongside 86 others — read 28 August 2026
Медицинская Литература
@clinirec · 34,016
Telegram ranks this channel #29 of 84 here — alongside 83 others — read 4 September 2026
Пей таблетки! | MedIQLab
@mediq · 66,027
Telegram ranks this channel #43 of 93 here — alongside 92 others — read 21 August 2026
Юрист для врача Ангелина Романовская
@mfcexpert_news · 29,481
Telegram ranks this channel #63 of 96 here — alongside 95 others — read 8 September 2026
Рецепты 🍲 | Консервация 🥫 | Выпечка 🥐 |
@recepty_i · 37,036
Telegram ranks this channel #69 of 80 here — alongside 79 others — read 1 September 2026

This channel appears in 9 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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“Медач | Medical Channel” (@medach), 28,123 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/medach.

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.