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Channel

Путь долгожителя

@AgeManagment

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Referenced elsewhere · Cite this entry

21,254subscribers

+779 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001845113111
TypeChannel
Username@AgeManagment
DescriptionКанал о медицине здорового долголетия Алексея Москалева, д.б.н., проф., чл-корр РАН, генетика, магистра общ. здравоохранения, коуча по здоровью Директора института биологии старения и медицины здорового долголетия РНЦХ им акад БВ Петровского
Created11 March 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/AgeManagment

Topic

Health & wellness — 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.

Growth

20,47521,25420,864.56 August 2026 — 20,475 subscribers6 August 2026 — 20,483 subscribers7 August 2026 — 20,502 subscribers8 August 2026 — 20,519 subscribers9 August 2026 — 20,538 subscribers10 August 2026 — 20,549 subscribers11 August 2026 — 20,558 subscribers12 August 2026 — 20,570 subscribers13 August 2026 — 20,573 subscribers14 August 2026 — 20,592 subscribers16 August 2026 — 20,622 subscribers17 August 2026 — 20,644 subscribers18 August 2026 — 20,664 subscribers19 August 2026 — 20,666 subscribers20 August 2026 — 20,671 subscribers21 August 2026 — 20,670 subscribers23 August 2026 — 20,674 subscribers24 August 2026 — 20,670 subscribers25 August 2026 — 20,894 subscribers26 August 2026 — 21,017 subscribers27 August 2026 — 21,069 subscribers28 August 2026 — 21,087 subscribers29 August 2026 — 21,113 subscribers30 August 2026 — 21,132 subscribers31 August 2026 — 21,135 subscribers1 September 2026 — 21,141 subscribers2 September 2026 — 21,121 subscribers4 September 2026 — 21,122 subscribers10 September 2026 — 21,144 subscribers12 September 2026 — 21,132 subscribers14 September 2026 — 21,140 subscribers15 September 2026 — 21,191 subscribers17 September 2026 — 21,254 subscribers6 August 202617 September 2026
33 measurements spanning 43 days, net +779. 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 20,358–21,371 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
17 Sept 2026, 22:0121,254+63
15 Sept 2026, 19:5721,191+51
14 Sept 2026, 04:5721,140+8
12 Sept 2026, 11:1821,132-12
10 Sept 2026, 06:3621,144+22
4 Sept 2026, 10:3821,122+1
2 Sept 2026, 21:2721,121-20
1 Sept 2026, 20:0321,141+6
31 Aug 2026, 20:1421,135+3
30 Aug 2026, 19:2821,132+19
29 Aug 2026, 16:5621,113+26
28 Aug 2026, 20:1221,087+18
27 Aug 2026, 22:3321,069+52
26 Aug 2026, 21:4621,017+123
25 Aug 2026, 20:3320,894+224
24 Aug 2026, 17:3520,670-4
23 Aug 2026, 02:5820,674+4
21 Aug 2026, 15:2820,670-1
20 Aug 2026, 16:4720,671+5
19 Aug 2026, 14:0720,666first reading

Engagement

78 posts held, back to 29 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 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.5%
avg views ÷ 21,254 subscribers
Avg views / post
2,220
22 posts measured
Reaction rate
1.49%
reactions ÷ views · ER floor
Posts in window
22
of 78 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 27 September 2026
Posts held78 (29 July 2026 – 27 September 2026)
Views total48,874
Reactions total728
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 14:07 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
847
Videos
150
Links
764

Lifetime counters from Telegram’s own channel header, read 28 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
9m 35s
Average length
9m 35s

Measured directly from 1 video 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

3,407 reactions across 74 posts, in 14 distinct kinds. The most used accounts for 49.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,68749.5%
🔥1,28337.7%
🙏1293.79%
👏902.64%
custom 5364201435858744869782.29%
🏆531.56%
⚡220.646%
🤝180.528%
🥰160.47%
❤‍🔥110.323%
💯70.205%
😍60.176%
🆒40.117%
🤗30.088%

Custom emoji. One row above is a 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 count beside it is 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 78 of the 78 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 3,571 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 78 most recent posts we hold, published 29 July 2026 to 27 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
6
across the posts below
Posts paid on
6
of 78 we hold a reading for · 8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AgeManagment. 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 78 most recent posts we hold for this entry, published 29 July 2026 to 27 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

27 Sept 2026, 15:36 UTC≈1,180 views81 reactions1 Starread 28 September 2026
Photo

Наш вариант полезной тарелки

❤53🔥13👏7custom 53642014358587448697⚡1

26 Sept 2026, 09:33 UTC≈1,500 views32 reactionsread 28 September 2026
Photo

Механизмы влияния активности мышц на здоровье https://onlinelibrary.wiley.com/doi/10.1002/mco2.70926

👏21❤10⚡1

26 Sept 2026, 09:30 UTC≈1,320 views34 reactionsread 28 September 2026
File

😎Для своих личных целей автоматически генерирую недельные дайджесты научных новостей по теме старения и долголетия. 🥹Они не содержат советов и не могут использоваться для самолечения, это именно научные новости. 🤓Тем не менее, они дают представление об имеющемся прогрессе и трендах в исследованиях. 👆Буду признателен за комментарии!

❤16🙏15🔥2⚡1

26 Sept 2026, 08:24 UTC≈1,350 views14 reactionsread 28 September 2026
Photo

Наступает последняя неделя голосования на премию Здравомыслие. Нам нужно добрать всего каких то 100 голосов. Вчера издательство Бомбора сообщила о 105000 экз книг нашедших своего читателя. Наверняка кто то из Вас их читал, оцените пожалуйста https://crowd.fom.ru/project/premiadoc2026

🔥14

25 Sept 2026, 20:39 UTC≈1,440 views15 reactionsread 28 September 2026

https://medvestnik.ru/content/news/specializaciu-vracha-po-zdorovomu-dolgoletiu-nazvali-samoi-interesnoi-dlya-perepodgotovki.html

🔥15

22 Sept 2026, 13:40 UTC≈2,280 views16 reactionsread 28 September 2026
Photo

https://crowd.fom.ru/project/premiadoc2026

custom 536420143585874486916

22 Sept 2026, 13:28 UTC≈2,100 views30 reactionsread 28 September 2026
Photo

Можно ли замедлить старение? Геропротекторы без мифов https://vkvideo.ru/video-232446961_456239211 https://www.youtube.com/watch?v=_-SSp8coW20

❤26🔥4

22 Sept 2026, 05:45 UTC≈2,310 views59 reactionsread 28 September 2026
Photo

День долгожителя в Российской Федерации отмечается ежегодно 22 сентября. К категории долгожителей официально принято относить людей, которые перешагнули 90-летний рубеж.

🔥35❤18custom 53642014358587448696

20 Sept 2026, 07:19 UTC≈2,210 views26 reactionsread 28 September 2026
Photo

https://crowd.fom.ru/project/premiadoc2026

🤝16❤9🔥1

19 Sept 2026, 14:27 UTC≈2,240 views44 reactionsread 28 September 2026
Photo

Инкретины - гормоны регуляции метаболизма и пищевого поведения. Побеседовали с Виктором Дикмановым, ведущим медицинским советником направления «Эндокринология» группы компаний «ПРОМОМЕД», кандидатом биологических наук. https://vk.ru/wall-179380330_2698 https://youtu.be/UpCEBvJaNDc #инкретины #ГПП1 #ГИП

❤25custom 536420143585874486915🔥2🙏2

19 Sept 2026, 06:20 UTC≈2,220 views63 reactions1 Starread 28 September 2026
File

😎Для своих личных целей автоматически генерирую недельные дайджесты научных новостей по теме старения и долголетия. 🥹Они не содержат советов и не могут использоваться для самолечения, это именно научные новости. 🤓Тем не менее, они дают представление об имеющемся прогрессе и трендах в исследованиях. 👆Буду признателен за комментарии!

❤41🔥15❤‍🔥6⚡1

18 Sept 2026, 10:23 UTC≈2,210 views14 reactionsread 28 September 2026

Интервью на полях Форума https://vkvideo.ru/video-151419361_456239191?pl=-151419361_8 https://vkvideo.ru/video-151419361_456239188?pl=-151419361_8

👏8🔥6

Showing the 12 most recent of 78 posts we hold for @AgeManagment. 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

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.

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.

Клуб Путь долгожителя
@LongevityClub · 2,511
#1
REVERTAZA
@revertaza_longevity · 3,547
#2
Nestarenie.ru - научно о продлении жизни и долголетии
@nestarenieRU · 3,362
#3
#biodata на связи | Стас Скакун о биохакинге и life sciences
@biodata_online · 2,008
#4
Нейронутрициология
@neuro_nutrition · 6,664
#5
Anna Vakh | BIOTECH
@annavakhbio · 2,469
#6
Трансгуманизм в далеком городе
@transposables · 4,399
#7
Юсипова - системная медицина!
@yusipovacom · 54,304
#8
Open Longevity
@OpenLongevity_ru · 2,664
#9
PreventEra
@preventEra · 8,717
#10
УОМ
@uom_education · 16,441
#11
Gourmanistic
@gourmanistic · 4,861
#12
TCL | Translational Clinic of Longevity
@tc_longevity · 938
#13
АНЧА БАРАНОВА
@anchabaranova · 35,713
#14
Доктор Королёв
@dockorolev_channel · 7,627
#15
Эра превентивной медицины
@Preventera_Ecosistem · 3,462
#16
Доктор Павлова, эндокринолог
@doctorpavlova · 85,005
#17
PCR.NEWS
@pcr_news · 12,940
#18
Матрица здоровья | УОМ
@uom_nutrifirst · 9,280
#19
Доктор Мила👩🏼‍⚕️
@doctor_seledtsova · 2,132
#20
Превентэйдж
@preventagecom · 13,470
#21
МАПОМ | Канал
@inter_apem · 1,316
#22
indiBiome
@indibiome · 11,607
#23
Доктор Зубарева / Doctor Zubareva
@doctor_zubareva · 402,924
#24
2 капли бессмертия
@immortaldrops · 8,259
#25
Кондауров вещает
@cryptokondaurov · 438
#26
Доктор Поляков
@docfunctional · 17,630
#27
Медтех.Москва
@medtechmoscow · 4,442
#28
Катя Щербакова
@biohacking_upgrade · 2,654
#29
CNM
@cnmrus · 5,828
#30
Интегративное здоровье с Dr. Fladt Natalya
@ecolavka_sea · 6,773
#31
Химия Пищи/Биохакинг/ А.Родионова
@ximiya_tasya_ro · 24,353
#32
Суханова Елена 🫜 биофанат
@hellenhappy_channel · 10,248
#33
Вячеслав Шуленин / Medtech.moscow
@vvshulenin · 1,830
#34
Alfabiom
@alfabiom · 1,838
#35
detsdoc | здоровье & Remee+
@detsdoc · 59,048
#36
Простой гуманизм
@simplehumanism · 1,586
#37
Я у мамы долгожитель
@MamaBiohacker · 3,778
#38
Клиника Калинченко
@kalinchenko_dlya_pacientov · 40,571
#39
Хромолаб | Chromolab proExpert
@Chromolab · 4,884
#40
Доктор Белан. Медицина долголетия, диагностика и нутрицевтики
@veb_lab_club · 1,175
#41
Доктор Тарасевич
@Doctor_Tarasevich · 12,980
#42
Ирина Фаритова | Нутритерапевт 🇬🇧 CNM | коуч 🇺🇸 IIN
@faritova_nutrition · 11,148
#43
Дадали В.А. Школа здоровья
@putkzdoroviyu · 31,794
#44
Simply Health
@simplyhealth · 2,888
#45
LanceBio Ventures
@LanceBio · 3,118
#46
Данила Медведев о пути к Сингулярности
@danilamedvedev · 1,735
#47
Здоровые Люди
@fantel_healthypeople · 2,645
#48
Doclana.mornatural
@doclana_mornatural · 31,685
#49
Инфузии от теории к мастерству
@training_IV_Medical_march_2024 · 8,558
#50
Высшее нутрициологическое
@evdokimova_nutri · 12,302
#51
Руслан Масгутов
@rusmasgutov · 144,017
#52
Доктор Яков Маршак "Среда Знаний"
@doctor_marshak · 10,416
#53
Биохимия. Просто о сложном
@simplebestbiochemistry · 5,413
#54
Институт междисциплинарной медицины
@dpo_imm · 1,572
#55
Алла, крестная мать биохакинга
@alla_dietolog · 13,158
#56
Immunculus
@immunculus · 2,051
#57
МИКРОБИОМ Dr_Sevastenkova
@dr_sevastenkova · 9,690
#58
Elite Health Engineering
@elitehealthengineering · 2,810
#59
Пища для ума
@foodf4thought · 2,776
#60
Brain media | УОМ
@uom_brainmedia · 4,930
#61
Я — health-коуч | УОМ
@iamhcuom · 7,832
#62
Доктор Гаврилов
@doctor_gavrilovm · 5,112
#63
Ничто не вечно под Луной - Ну что ж, тогда мы уничтожим Луну
@alexeyturchin · 2,235
#64
Нутрициология | DoctorPolyakoff
@fantel_nutrio · 2,496
#65
Доктор Арина Тертышная | врач-эндокринолог и интегративной медицины
@tertyshnaya_a · 4,441
#66
Юлия Кушнир
@kushnirlivvve · 1,962
#67
Альбина Шевченко - сообщество зрелых женщин
@shevchenkoochannel · 5,461
#68
Liza Loves Biology
@liza_loves_biology · 7,275
#69
Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel
@LongevityInTime · 1,071
#70
Записки из подполья
@z_podpolie · 781
#71
НАТАЛЬЯ ТАРХОВА | ШКОЛА ПРОДАЖ
@sales_expert_tarkhova · 2,462
#72
В гармонии с телом
@body_in_harmony · 1,344
#73
Нутрициология, диетология и Аюрведа с Dr.Robertovna
@dr_robertovna · 10,083
#74
Барсукова Елена, интегративный врач-терапевт👩🏻‍⚕️
@drbarsukova · 30,324
#75
СОЗДАТЕЛИ
@sozdatelyy · 6,286
#76
Ободзинская Татьяна Евгеньевна
@obodzinskaya · 7,958
#77
Школа иммунитета Елены Чуриной 👩🏼‍🎓
@shkolaimmuniteta · 3,373
#78
Надя Андреева - нутрициолог об энергии
@shkolasvetlyachkov · 45,493
#79
Яна Павлидис
@yanapavlidis22 · 13,606
#80
Dr. Belaveshkin
@beloveshkin · 9,368
#81
Женское здоровье | Ольга Андросова
@drandrosova · 8,325
#82
Врач Хисамова Ирина Валерьевна
@ihisamova · 16,704
#83
Кулинарная медицина. Рецепты здоровья Кати Янг
@katya_young · 33,254
#84
Next Generation Medicine
@ngmedicine · 830
#85
Voevodina Anastasia
@voyevodina_anastasia · 1,387
#86
Сергей Иванов из ЭФКО
@sergei_ivanov_efko · 64,145
#87
Бластим: курсы и работа в биотехе
@blastim · 9,719
#88
Практическая психология и коучинг
@MastersPsy_Coach · 6,011
#89
Gastrosmile🌱Гастросмайл🌱Венера Хабирова🌱Интегративный Гастроэнтеролог
@gastrosmile · 41,189
#90
MTXM
@mtxmspace · 231
#91
Nina Дмитриевна Niskubina
@ninaniskubina · 3,449
#92

Read from Telegram’s recommendation API, most recently 24 September 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.

Кардиолог Чайковская
@cardiolog_chaykovskaya · 58,129
Telegram ranks this channel #44 of 94 here — alongside 93 others — read 23 August 2026
Юсипова - системная медицина!
@yusipovacom · 54,304
Telegram ranks this channel #74 of 89 here — alongside 88 others — read 24 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Referenced elsewhere

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

One Wikipedia article names 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.

Москалёв, Алексей Александрович (ru.wikipedia.org)
“…|url-status=live|archive-date=2021-11-07}}. Автор телеграм-канала «[https://t.me/AgeManagment Путь долгожителя]». == Биография == Окончил [[СыктГУ]], где…”
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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Путь долгожителя” (@AgeManagment), 21,254 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/AgeManagment.

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.