Telegram RegisterThe public register of Telegram

Channel

کافه تدریس | Cafetadris.com

@Cafetadris

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

12,006subscribers

+38 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-1001051450927
TypeChannel
Username@Cafetadris
CreatedBetween 1 May 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Cafetadris

Topic

Education — 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 100% 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Cafetadris/9495 · this entry2 Aug 2026, 07:05 UTC@konkoorMBA/88412 Aug 2026, 10:33 UTC0.933.5 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@konkoorMBA5 (5/5 hand-verifiable sample passed)0.9918 hours@konkoorMBA (41)

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 0 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 27 comparable posts for this entry, running 2 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @konkoorMBA. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 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

11,96712,00611,986.55 August 2026 — 11,968 subscribers6 August 2026 — 11,968 subscribers6 August 2026 — 11,967 subscribers7 August 2026 — 11,979 subscribers8 August 2026 — 11,984 subscribers9 August 2026 — 11,988 subscribers10 August 2026 — 11,990 subscribers11 August 2026 — 12,003 subscribers12 August 2026 — 12,006 subscribers5 August 202612 August 2026
9 measurements spanning 7 days, net +38. 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 11,961–12,012 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:0912,006+3
11 Aug 2026, 15:5112,003+13
10 Aug 2026, 13:5311,990+2
9 Aug 2026, 11:1111,988+4
8 Aug 2026, 12:3011,984+5
7 Aug 2026, 09:5211,979+12
6 Aug 2026, 06:3311,967-1
6 Aug 2026, 02:3411,968no change
5 Aug 2026, 21:3811,968first reading

Engagement

41 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.42%
avg views ÷ 12,006 subscribers
Avg views / post
1,010
41 posts measured
Reaction rate
0.702%
reactions ÷ views · ER floor
Posts in window
41
of 41 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 12 August 2026
Posts held41 (2 August 202612 August 2026)
Views total41,469
Reactions total291
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 12:48 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
1m 25s
Average length
1m 25s

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

250 reactions across 35 posts, in 7 distinct kinds. The most used accounts for 67.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16967.6%
👍5421.6%
🔥104.00%
🤩93.60%
👏41.60%
🫡31.20%
🤔10.4%

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 41 of the 41 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 291reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 2 August 2026 to 12 August 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.

Recent posts

12 Aug 2026, 11:29 UTC111 views5 reactionsread 12 August 2026
Forwarded from @konkoormodiriatVoice message

🎙 سلسله ویس‌های انتخاب رشته؛ مدیریت دولتی، توسعه منابع انسانی دانشگاه تهران درسته کنکور گذشته، اما قرار نیست توی ادامه مسیر شما رو تنها بذاریم. تا انتخاب رشته کنارتون هستیم. توی این سری ویس‌ها، داوطلبین سال قبل و دانشجویان فعلی دانشگاه‌های مختلف، درمورد تجربه خودشون از دانشگاه و رشته می‌گن تا انتخاب رشته بهتری داشته باشین. این ویس‌ها به‌صورت خودجوش از سمت دانشجوها ارسال می‌شه که نشون‌دهنده شخصیت و بزرگی شماست. 🧡 شما

3👍2

12 Aug 2026, 09:50 UTC268 views6 reactionsread 12 August 2026
Photo

📚 نمونه کارنامه کنکور ارشد مدیریت فناوری اطلاعات بررسی کارنامه‌های سال‌های گذشته یکی از بهترین راه‌ها برای شناخت سطح رقابت در کنکور ارشد مدیریت فناوری اطلاعات است. در این مقاله، نمونه کارنامه داوطلبان همراه با رتبه، تراز و درصد دروس بررسی شده تا بتوانید دید واقع‌بینانه‌تری نسبت به درصدهای لازم برای رسیدن به رتبه‌های مختلف داشته باشید. اگر می‌خواهید هدف‌گذاری دقیق‌تری برای مطالعه و آزمون‌های آزمایشی خود داشته باشید،

4👍2

11 Aug 2026, 12:36 UTC464 views11 reactionsread 12 August 2026
Forwarded from @konkoormodiriatPhoto

🟡 دو درس چالشی کنکور دکتری دولتی؛ مبانی مدیریت دولتی و خط مشی ‌گذاری یکی از بزرگترین جالش‌های داوطلبین کنکور پرطرفدار دکتری دولتی، اینه که نمی‌دونن این دو درس رو چطوری و با چه رفرنسی بخونن. توی این وبینار استاد کرمی درمورد این دو درس مهم صحبت می‌کنن. ⏰ ساعت ۲۰:۰۰ 📌 لینک ثبت‌نام در وبینار: 👉📎 http://ctdrs.ir/cr18422 📍 کانال تخصصی کنکور ارشد و دکتری مدیریت: @konkoormodiriat

5👍3🔥3

11 Aug 2026, 10:07 UTC538 views6 reactionsread 12 August 2026
Forwarded from @konkoorMBAPhoto

📢 مصاحبه با رتبه‌برترهای کنکور ارشد MBA رتبه‌برترهای کنکور ارشد MBA سال گذشته از مسیر واقعی موفقیتشون می‌گن، از سختی‌ها و چالش‌هایی که پشت سر گذاشتن تا روش مطالعه‌ای که اون‌ها رو به قله رسوند. 🎯 با کلیک روی هر لینک، می‌تونی مصاحبه کاملشون رو رایگان ببینی و از تجربه‌هاشون برای مسیر خودت الهام بگیری. 🌟 ✅ مصاحبه با یاشار عزت‌پور (رتبه ۲) ✅ مصاحبه با سبحان مرادی (رتبه ۴) ✅ مصاحبه با هلیا خسروانی (رتبه ۲۱) ✅ مصاحبه ب

4👍2

11 Aug 2026, 08:55 UTC597 views6 reactionsread 12 August 2026
Photo

🎓 نمونه کارنامه کنکور ارشد مدیریت دولتی دیدن کارنامه‌های سال‌های گذشته می‌تواند دید دقیق‌تری از سطح رقابت در کنکور ارشد مدیریت دولتی به شما بدهد. در این مقاله، نمونه کارنامه داوطلبان سال‌های ۱۴۰۴، ۱۴۰۳ و سال‌های قبل همراه با رتبه، درصد دروس، تراز و معدل بررسی شده است. همچنین ضرایب دروس مهمی مثل زبان، تئوری مدیریت، مدیریت اسلامی، اقتصاد، مالیه و بودجه و منابع انسانی را می‌توانید ببینید و عملکرد خودتان را با رتبه‌های

5👍1

10 Aug 2026, 13:31 UTC634 views9 reactionsread 12 August 2026
Forwarded from @konkoormodiriatPhoto

🟡 سیر تا پیاز درس زبان ارشد و دکتری زبان از اون درس‌هاییه که حتی با یه درصد حداقلی می‌تونه تمایز خوبی براتون ایجاد کنه. این وبینار قراره ترس شما از زبان رو بریزه و بعدش شاهد زبان خوندن تعداد زیادی از شما باشیم. 😉 ⏰ ساعت ۲۰:۰۰ 📌 لینک ثبت‌نام داوطلبین دکتری: 👉📎 http://ctdrs.ir/cr18422 📌 لینک ثبت‌نام داوطلبین ارشد: 👉📎 http://ctdrs.ir/cr18423 📍 کانال تخصصی کنکور ارشد و دکتری مدیریت: @konkoormodiriat

5👍2🤩2

10 Aug 2026, 10:20 UTC691 views8 reactionsread 12 August 2026
Forwarded from @konkoorMBAPhoto

✅✅ وبینار رایگان زبان تخصصی، برگ برنده کنکور MBA فکر می‌کنی زبان تخصصی همیشه نقطه‌ضعفته؟ وقتشه ورق رو برگردونی! با یه مسیر درست و منابع مناسب، زبان می‌تونه تبدیل بشه به برگ برنده‌ات توی کنکور MBA! توی این وبینار قراره: 📚 منابع معتبر و کاربردی زبان تخصصی رو بررسی کنیم 🎯 از تیپ‌های پرتکرار سوال‌ها بگیم 🗓 و در نهایت، یه نقشه‌راه منظم برای مطالعه زبان بهتون بدیم کافه‌تدریس از روز اول همراهتونه تا این مسیر رو اصولی و

5👍2🤩1

10 Aug 2026, 07:16 UTC727 views6 reactionsread 12 August 2026
Photo

📚 نمونه کارنامه کنکور ارشد مدیریت بازرگانی برای رسیدن به یک رتبه خوب در کنکور ارشد مدیریت بازرگانی، دانستن درصدها و عملکرد رتبه‌های سال‌های گذشته می‌تواند دید دقیق‌تری از سطح رقابت به شما بدهد. در این مقاله، نمونه کارنامه‌های کنکور ارشد مدیریت بازرگانی از سال‌های مختلف، از جمله ۱۴۰۴، به همراه درصد دروس، تراز و رتبه داوطلبان بررسی شده است. همچنین می‌توانید ضرایب دروس و تجربه رتبه‌برترهای این رشته را ببینید و برای برن

5👍1

9 Aug 2026, 12:37 UTC691 views10 reactionsread 12 August 2026
Forwarded from @konkoormodiriatVideo

🟡 وبینار رایگان همه‌چیز درباره تئوری مدیریت و مدیریت اسلامی دو درس حساس کنکور ارشد و دکتری. تئوری مدیریت پر از نکات سنگین و زیاد و مدیریت اسلامی پر از آیات و روایات و بیان خاص خودش. یک‌بار برای همیشه تکلیف این دو درس رو روشن کنیم؟ 📆 یکشنبه ⏰ ساعت ۲۰:۰۰ 📌 لینک ثبت‌نام داوطلبین دکتری: 👉📎 http://ctdrs.ir/cr18422 📌 لینک ثبت‌نام داوطلبین ارشد: 👉📎 http://ctdrs.ir/cr18423 📍 کانال تخصصی کنکور ارشد و دکتری مدیریت: @konk

7👍2🤔1

9 Aug 2026, 08:51 UTC799 views11 reactionsread 12 August 2026
Voice message

🎯 چند ساعت تا وبینار رایگان از صفر تا رتبه‌برتر: نقشه راه کامل جیمت کنکور MBA کسب درصد بالا در GMAT فقط با تلاش نیست، یه برنامه‌ریزی هوشمندانه و دقیق می‌خواد! توی این وبینار به همراه علیرضا مروج، مدرس جیمت کافه‌تدریس، قراره: ✅ درس استعداد و آمادگی تحصیلی (GMAT) رو کامل بشناسیم ✅ مباحث پرتکرار و بودجه‌بندی سوالات رو بررسی کنیم ✅ برای رسیدن به درصد بالا، یه استراتژی حرفه‌ای بچینیم ✅ و کلی نکته کلیدی برای موفقیت توی

7👍2🔥2

9 Aug 2026, 07:32 UTC751 views6 reactionsread 12 August 2026
Photo

📚 بهترین منابع کنکور دکتری مدیریت انتخاب منبع درست، یکی از مهم‌ترین قدم‌ها برای موفقیت در کنکور دکتری مدیریت است. در این مقاله، منابع پیشنهادی برای دروس اصلی و تخصصی به‌صورت جامع بررسی شده‌اند. از زبان و آمار تا مدیریت اسلامی، مبانی سازمان، بازاریابی، استراتژی و تحقیق در عملیات، برای هر درس گزینه‌های مناسب معرفی شده است. همچنین توضیح داده شده که برای برخی درس‌ها مطالعه یک کتاب کافی نیست و باید منبع و کلاس را با هم د

4👍2

8 Aug 2026, 11:55 UTC750 views8 reactionsread 12 August 2026
Forwarded from @konkoormodiriatPhoto

🟡 ۶ ساعت تا وبینار رایگان صفر تا صد بازاریابی (ارشد و دکتری) و مدیریت استراتژیک بازاریابی در کنکور ارشد و دکتری و مدیریت استراتژیک در کنکور دکتری، از دروس چند رفرنسی اما بسیار تاثیرگذار کنکور هستن. توی این وبینار قراره صفر تا صد این دو درس رو بررسی کنیم تا هرچیزی برای این دو درس نیازه بدونین 📆 شنبه ⏰ ساعت ۲۰:۰۰ 📌 لینک ثبت‌نام داوطلبین دکتری: 👉📎 http://ctdrs.ir/cr18422 📌 لینک ثبت‌نام داوطلبین ارشد: 👉📎 http://ctd

5👍3

Showing the 12 most recent of 41 posts we hold for @Cafetadris. 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.

Citation-graph rank

Citation-graph rank — 18,471 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 38 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

تبلیغات تلگرام Enovin
@enovinads · 341
9 posts
کنکور ارشد کامپیوتر
@Konkurcomputer · 50,285
6 posts
دانشگاه صنعتی اصفهان
@jozve_iut · 11,254
3 posts
رویداد‌ رسان
@roydadresan · 262
3 posts
اخباردانشجویان پیام نور
@Akhbar_pnu · 8,618
2 posts
دانشجو♻️Qods
@daaneeshjo · 8,307
2 posts
راه ارتباطی با اساتید تهران مرکز
@TmContact · 12,885
2 posts
آموزش مجازی معادلات دیفرانسیل-آقاسی
@aghasi_equation1 · 515
1 post
دانشجویان ورودی‌ ۱۴۰۲
@iau02 · 15,232
1 post
اطلاع رسانی آموزشیار
@IauAmozeshyar · 313,461
1 post
اخبار IAU (دانشگاه آزاد اسلامی )
@IAzadUN · 38,136
1 post
خبرفوری
@khabarfouri · 5,016,135
1 post
لینک‌های دپارتمان MBA
@LinkMBACafetadris · 70
1 post
مک‌تپ
@mactapco · 88
1 post
نیازمندی‌های دانشجویی سمنان
@niazmandi_daneshjoii_sem · 9,237
1 post
اورژانس جزوه (تهران مرکز)
@realorzhansjozve · 15,936
1 post
ریش سفیدا | Rishsefida
@rishsefida · 6,647
1 post
توییت علوم تحقیقات
@srbtwitter · 47,894
1 post
معرفی اساتید تهران مرکز
@TmPmz · 47,174
1 post
یو‌بی‌ توییتر
@ub_tweet · 6,675
1 post
توییتر دانشجویی کردستان
@uoktweet · 14,861
1 post
توییتر دانشگاه تهرانی ها
@uttweet · 142,012
1 post
WTIAU CHANNEL تهران غرب
@wtiau_3 · 26,518
1 post
توییتر دانشگاه یزد
@yazd_tweet · 13,097
1 post

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“کافه تدریس | Cafetadris.com” (@Cafetadris), 12,006 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Cafetadris.

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.