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Channel
MUSEUM OF ECHOES GALLERY
@MOEGALLERYOFC
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
227subscribers
-13 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002762938335 |
|---|---|
| Type | Channel |
| Username | @MOEGALLERYOFC |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/MOEGALLERYOFC |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 19:57 | 227 | -10 |
| 7 Aug 2026, 21:42 | 237 | -3 |
| 7 Aug 2026, 02:32 | 240 | no change |
| 6 Aug 2026, 22:21 | 240 | first reading |
Engagement
20 posts held, back to 5 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.1%
- avg views ÷ 227 subscribers
- Avg views / post
- 25.3
- 11 posts measured
- Reaction rate
- 8.55%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 20 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. It is computed over the 5 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 July 2026 |
|---|---|
| Posts held | 20 (5 July 2026 – 25 July 2026) |
| Views total | 278 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 02:32 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
45 reactions across 10 posts, in 10 distinct kinds. The most used accounts for 26.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 12 | 26.7% | |
| ❤ | 9 | 20.0% | |
| 🔥 | 9 | 20.0% | |
| 🆒 | 3 | 6.67% | |
| 🏆 | 3 | 6.67% | |
| ⚡ | 2 | 4.44% | |
| 💘 | 2 | 4.44% | |
| 🤝 | 2 | 4.44% | |
| 🥰 | 2 | 4.44% | |
| 😘 | 1 | 2.22% |
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 10 of the 20 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 45reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 5 July 2026 to 25 July 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
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🧐 𝐶𝑜𝑏𝑎 𝑖𝑛𝑔𝑎𝑡-𝑖𝑛𝑔𝑎𝑡 𝑙𝑎𝑔𝑖. 🎙 𝐾𝑎𝑟𝑒𝑛𝑎 𝑚𝑢𝑛𝑔𝑘𝑖𝑛 𝑡𝑎𝑛𝑝𝑎 𝑘𝑎𝑙𝑖𝑎𝑛 𝑠𝑎𝑑𝑎𝑟𝑖, ℎ𝑖𝑑𝑢𝑝 𝑘𝑎𝑙𝑖𝑎𝑛 ℎ𝑎𝑟𝑖 𝑖𝑛𝑖 𝑎𝑑𝑎𝑙𝑎ℎ ℎ𝑎𝑠𝑖𝑙 𝑑𝑎𝑟𝑖 𝑠𝑎𝑡𝑢 𝑘𝑒𝑝𝑢𝑡𝑢𝑠𝑎𝑛 𝑘𝑒𝑐𝑖𝑙 𝑦𝑎𝑛𝑔 𝑝𝑒𝑟𝑛𝑎ℎ 𝑘𝑎𝑙𝑖𝑎𝑛 𝑏𝑢𝑎𝑡 𝑝𝑎𝑑𝑎 𝑚𝑎𝑠𝑎 𝑙𝑎𝑙𝑢. 😉😉 𝑛𝑎ℎℎ 𝐽𝑎𝑑𝑖, 𝑚𝑢𝑛𝑔𝑘𝑖𝑛 𝑘𝑖𝑡𝑎 𝑚𝑒𝑚𝑎𝑛𝑔 𝑡𝑖𝑑𝑎𝑘 𝑏𝑖𝑠𝑎 𝑚𝑒𝑛𝑔𝑒𝑡𝑎ℎ𝑢𝑖 𝑏𝑎𝑔𝑎𝑖𝑚𝑎𝑛𝑎 𝑚𝑎𝑠𝑎 𝑑𝑒𝑝𝑎𝑛 𝑎𝑘𝑎𝑛 𝑏𝑒𝑟𝑗𝑎𝑙𝑎𝑛 𝑑𝑎𝑛 𝐾𝑖𝑡𝑎 𝑗𝑢𝑔𝑎 𝑡𝑖𝑑𝑎𝑘 𝑏𝑖𝑠𝑎 𝑘𝑒𝑚𝑏𝑎𝑙𝑖 𝑘𝑒 𝑚𝑎𝑠𝑎 𝑙𝑎𝑙𝑢 𝑢𝑛𝑡𝑢𝑘 𝑚𝑒𝑛𝑔𝑢𝑏𝑎ℎ 𝑘𝑒𝑝𝑢𝑡𝑢𝑠𝑎𝑛 𝑦𝑎𝑛𝑔 𝑠𝑢𝑑𝑎ℎ 𝑘𝑖𝑡𝑎 𝑏𝑢𝑎𝑡. ☝🏻😯 𝑇𝑎𝑝𝑖 𝑘𝑖𝑡𝑎 𝑚𝑎𝑠𝑖ℎ 𝑝𝑢𝑛𝑦𝑎 𝑘𝑒𝑠𝑒𝑚𝑝𝑎𝑡𝑎𝑛 𝑢𝑛𝑡𝑢𝑘 𝑚𝑒𝑚𝑖𝑙𝑖ℎ 𝑎𝑝𝑎 𝑦𝑎𝑛𝑔 𝑎𝑘𝑎𝑛 𝑘𝑖𝑡𝑎…
❤🔥2
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🤔 𝑎𝑝𝑎 𝑑𝑎𝑚𝑝𝑎𝑘 𝑑𝑎𝑟𝑖 𝑏𝑢𝑡𝑡𝑒𝑟𝑓𝑙𝑦 𝑒𝑓𝑓𝑒𝑐𝑡 ? ☝🏻😲 𝑑𝑎𝑟𝑖 𝑝𝑒𝑛𝑗𝑒𝑙𝑎𝑠𝑎𝑛 𝑑𝑎𝑛 𝑗𝑢𝑔𝑎 𝑐𝑜𝑛𝑡𝑜ℎ 𝑑𝑖 𝑎𝑡𝑎𝑠 , 𝑑𝑎𝑚𝑝𝑎𝑘 𝑑𝑎𝑟𝑖 𝑏𝑢𝑡𝑡𝑒𝑟𝑓𝑙𝑦 𝑒𝑓𝑓𝑒𝑐𝑡 𝑎𝑑𝑎𝑙𝑎ℎ ,😉 “ 𝑘𝑖𝑡𝑎 𝑏𝑖𝑠𝑎 𝑚𝑒𝑚𝑖𝑙𝑖ℎ 𝑑𝑎𝑛 𝑚𝑒𝑛𝑐𝑖𝑝𝑡𝑎𝑘𝑎𝑛 𝑘𝑒𝑝𝑢𝑡𝑢𝑠𝑎𝑛 𝑏𝑎𝑟𝑢 . “ 🎙𝑑𝑎𝑟𝑖 𝑘𝑒𝑝𝑢𝑡𝑢𝑠𝑎𝑛 𝑘𝑒𝑝𝑢𝑡𝑢𝑠𝑎𝑛 𝑘𝑒𝑐𝑖𝑙 𝑦𝑎𝑛𝑔 𝑘𝑖𝑡𝑎 𝑏𝑢𝑎𝑡 ,𝑘𝑖𝑡𝑎 𝑏𝑖𝑠𝑎 𝑚𝑒𝑛𝑔𝑢𝑏𝑎ℎ 𝑚𝑎𝑠𝑎 𝑑𝑒𝑝𝑎𝑛 𝑑𝑒𝑛𝑔𝑎𝑛 𝑚𝑒𝑚𝑖𝑙𝑖ℎ 𝑗𝑎𝑙𝑎𝑛 𝑦𝑎𝑛𝑔 𝑏𝑒𝑛𝑎𝑟 , 𝑚𝑒𝑚𝑏𝑢𝑎𝑡 𝑘𝑒𝑝𝑢𝑡𝑢𝑠𝑎𝑛 𝑏𝑢𝑘𝑎𝑛𝑙𝑎ℎ ℎ𝑎𝑙 𝑦𝑎𝑛𝑔 𝑚𝑢𝑑𝑎ℎ , 𝑡𝑒𝑡𝑎𝑝𝑖 𝑑𝑒𝑛𝑔𝑎𝑛 𝑏𝑒𝑔𝑖𝑡𝑢 𝑘𝑖𝑡𝑎 𝑡𝑎𝑢 𝑎𝑝𝑎 𝑦𝑎𝑛𝑔 𝑘𝑖𝑡𝑎 𝑝𝑖𝑙𝑖ℎ 𝑢𝑛𝑡𝑢𝑘 𝑚𝑎𝑠𝑎 𝑑𝑒𝑝𝑎𝑛 𝑘𝑖𝑡𝑎 𝑠𝑒𝑛𝑑𝑖𝑟𝑖 🤔 𝐵…
❤🔥2
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𝐶𝑜𝑛𝑡𝑜ℎ 🦋 𝐵𝑢𝑡𝑡𝑒𝑟𝑓𝑙𝑦 𝑒𝑓𝑓𝑒𝑐𝑡 🦋 🎙😎 𝑏𝑖𝑎𝑟𝑘𝑎𝑛 𝑝𝑎𝑐𝑎𝑟 𝑠𝑢𝑙𝑙𝑦𝑜𝑜𝑛 𝑦𝑎𝑛𝑔 𝑡𝑎𝑚𝑝𝑎𝑛 𝑘𝑎𝑠𝑖ℎ 𝑐𝑜𝑛𝑡𝑜ℎ , • 💕𝑤𝑎𝑘𝑡𝑢 𝑚𝑎𝑢 𝑝𝑑𝑘𝑡 ; ☝🏻😲 𝑏𝑢𝑘𝑎 𝑖𝑔 𝑙𝑖ℎ𝑎𝑡 𝑙𝑖ℎ𝑎𝑡 𝑠𝑡𝑎𝑡𝑢𝑠 𝑑𝑜𝑖 𝑡𝑒𝑟𝑢𝑠 𝑘𝑎𝑙𝑖𝑎𝑛 𝑖𝑠𝑒𝑛𝑔 “ 𝑎ℎ 𝑐𝑜𝑏𝑎 𝑘𝑎𝑠𝑖ℎ 𝑟𝑒𝑎𝑐𝑡 𝑑𝑒ℎ “ , 𝑡𝑒𝑟𝑢𝑠 𝑑𝑖 𝑏𝑎𝑙𝑒𝑠 𝑠𝑎𝑚𝑎 𝑑𝑜𝑖 , 𝑜𝑏𝑟𝑜𝑙𝑎𝑛 𝑏𝑒𝑟𝑙𝑎𝑛𝑗𝑢𝑡 , 𝑘𝑎𝑙𝑖𝑎𝑛 𝑗𝑎𝑑𝑖 𝑠𝑒𝑟𝑖𝑛𝑔 𝑐ℎ𝑎𝑡𝑡𝑎𝑛 , 𝑏𝑎𝑛𝑦𝑎𝑘 𝑡𝑜𝑝𝑖𝑘 , 𝑙𝑎𝑛𝑗𝑢𝑡 𝑗𝑎𝑙𝑎𝑛 𝑏𝑎𝑟𝑒𝑛𝑔 𝑑𝑎𝑛 𝑏𝑒𝑟𝑎𝑘ℎ𝑖𝑟 𝑘𝑎𝑙𝑖𝑎𝑛 𝑝𝑎𝑐𝑎𝑟𝑎𝑛 🎙𝑛𝑖ℎ 𝑐𝑜𝑛𝑡𝑜ℎ 𝑙𝑎𝑖𝑛 𝑙𝑎𝑔𝑖 💻 𝑠𝑎𝑎𝑡 𝑎𝑘𝑎𝑛 𝑏𝑒𝑟𝑎𝑛𝑔𝑘𝑎𝑡 𝑘𝑒𝑟𝑗𝑎 ; ☝🏻😲 𝑘𝑎𝑙𝑖𝑎𝑛 𝑏𝑒𝑠𝑜𝑘 𝑚𝑎𝑢 𝑏𝑒𝑟𝑎𝑛𝑔𝑘𝑎𝑡 𝑘𝑒𝑟𝑗𝑎 ,…
❤2
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🦋 𝑇𝑒𝑜𝑟𝑖 𝑑𝑎𝑛 𝑎𝑠𝑎𝑙 𝑢𝑠𝑢𝑙𝑛𝑦𝑎 ☝🏻😧 🎙𝐵𝑢𝑡𝑡𝑒𝑟𝑓𝑙𝑦 𝑒𝑓𝑓𝑒𝑐𝑡 𝑠𝑒𝑛𝑑𝑖𝑟𝑖 𝑚𝑒𝑚𝑝𝑢𝑛𝑦𝑎𝑖 𝑎𝑠𝑎𝑙 𝑢𝑠𝑢𝑙 , 𝑗𝑎𝑑𝑖 𝑔𝑎 𝑠𝑒𝑚𝑏𝑎𝑟𝑎𝑛𝑔𝑎𝑛 𝑑𝑖 𝑛𝑎𝑚𝑎𝑖𝑛 𝑛𝑖ℎ. 🎙😲 𝑛𝑎ℎ, 𝐼𝑠𝑡𝑖𝑙𝑎ℎ 𝐵𝑢𝑡𝑡𝑒𝑟𝑓𝑙𝑦 𝐸𝑓𝑓𝑒𝑐𝑡 𝑠𝑒𝑏𝑒𝑛𝑎𝑟𝑛𝑦𝑎 𝑏𝑒𝑟𝑎𝑠𝑎𝑙 𝑑𝑎𝑟𝑖 𝑡𝑒𝑜𝑟𝑖 𝐶ℎ𝑎𝑜𝑠 𝑇ℎ𝑒𝑜𝑟𝑦. 𝐼𝑠𝑡𝑖𝑙𝑎ℎ 𝑖𝑛𝑖 𝑠𝑒𝑟𝑖𝑛𝑔 𝑑𝑖𝑘𝑎𝑖𝑡𝑘𝑎𝑛 𝑑𝑒𝑛𝑔𝑎𝑛 𝑔𝑎𝑔𝑎𝑠𝑎𝑛 📖 “ 𝑝𝑒𝑟𝑢𝑏𝑎ℎ𝑎𝑛 𝑦𝑎𝑛𝑔 𝑠𝑎𝑛𝑔𝑎𝑡 𝑘𝑒𝑐𝑖𝑙 𝑑𝑎𝑙𝑎𝑚 𝑠𝑢𝑎𝑡𝑢 𝑠𝑖𝑠𝑡𝑒𝑚 𝑏𝑖𝑠𝑎 𝑚𝑒𝑛𝑔ℎ𝑎𝑠𝑖𝑙𝑘𝑎𝑛 𝑝𝑒𝑟𝑏𝑒𝑑𝑎𝑎𝑛 𝑏𝑒𝑠𝑎𝑟 𝑑𝑖 𝑘𝑒𝑚𝑢𝑑𝑖𝑎𝑛 ℎ𝑎𝑟𝑖. “ 🎙𝑦𝑎𝑛𝑔 𝑏𝑒𝑟𝑎𝑟𝑡𝑖 𝑝𝑒𝑟𝑢𝑏𝑎ℎ𝑎𝑛 𝑠𝑒𝑘𝑒𝑐𝑖𝑙 𝑎𝑝𝑎𝑝𝑢𝑛 𝑖𝑡𝑢 𝑏𝑖𝑠𝑎 𝑚𝑒𝑚𝑏𝑒𝑟𝑖𝑘𝑎𝑛 𝑒𝑓𝑓𝑒𝑐𝑡 𝑏𝑒𝑠𝑎𝑟 𝑑𝑖 𝑘𝑒𝑚…
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🤔𝐊𝐞𝐧𝐚𝐩𝐚 𝐇𝐚𝐥 𝐊𝐞𝐜𝐢𝐥 𝐁𝐢𝐬𝐚 𝐌𝐞𝐧𝐠𝐮𝐛𝐚𝐡 𝐒𝐞𝐠𝐚𝐥𝐚𝐧𝐲𝐚 ?😲 🗣 : 𝑝𝑒𝑟𝑛𝑎ℎ 𝑔𝑎 𝑠𝑖ℎ 𝑘𝑎𝑙𝑖𝑎𝑛 𝑘𝑒𝑝𝑖𝑘𝑖𝑟𝑎𝑛 ℎ𝑎𝑙 ℎ𝑎𝑙 𝑠𝑒𝑑𝑒𝑟ℎ𝑎𝑛𝑎 𝑠𝑒𝑝𝑒𝑟𝑡𝑖 . . . • “ 𝑘𝑎𝑙𝑎𝑢 𝑘𝑎𝑚𝑢 𝑔𝑎 𝑖𝑠𝑒𝑛𝑔 𝑠𝑎𝑙𝑖𝑛𝑔 𝑟𝑒𝑝𝑙𝑎𝑦 𝑝𝑒𝑠𝑎𝑛 𝑠𝑎𝑚𝑎 𝑑𝑖𝑎 .. “ • “ 𝑘𝑎𝑙𝑎𝑢 𝑘𝑎𝑚𝑢 𝑔𝑎 𝑡𝑒𝑙𝑎𝑡 5 𝑚𝑒𝑛𝑖𝑡 . . . “ • “ 𝑘𝑎𝑙𝑎𝑢 𝑎𝑘𝑢 𝑔𝑎 𝑛𝑒𝑘𝑎𝑡 𝑖𝑘𝑢𝑡𝑎𝑛 ℎ𝑖𝑟𝑚𝑖𝑛 . . “ 🎙𝑚𝑢𝑛𝑔𝑘𝑖𝑛 𝑘𝑒ℎ𝑖𝑑𝑢𝑝𝑎𝑛 𝑘𝑎𝑚𝑢 𝑎𝑘𝑎𝑛 𝑏𝑒𝑛𝑎𝑟 - 𝑏𝑒𝑛𝑎𝑟 𝑏𝑒𝑟𝑏𝑒𝑑𝑎 ? … 🎙 𝑏𝑎𝑐𝑘 𝑤𝑖𝑡ℎ 𝑎𝑛𝑜𝑡ℎ𝑒𝑟 𝑡𝑒𝑜𝑟𝑖 , ℎ𝑎𝑖 𝑤𝑎𝑟𝑔𝑎 𝑒𝑐ℎ𝑜𝑒𝑠 , 𝑘𝑒𝑚𝑏𝑎𝑙𝑖 𝑙𝑎𝑔𝑖 𝑏𝑒𝑟𝑠𝑎𝑚𝑎 𝑠𝑎𝑦𝑎 🍀 𝑎𝑒𝑟𝑜𝑠ℎ 𝑜𝑠𝑤𝑖𝑛 𝑦𝑎𝑛𝑔 𝑎𝑘𝑎𝑛 𝑚𝑒𝑛𝑒𝑚𝑎…
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Showing the 12 most recent of 20 posts we hold for @MOEGALLERYOFC. 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 — 1,255,854 of 1,480,944entries 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.
Mentions
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“MUSEUM OF ECHOES GALLERY” (@MOEGALLERYOFC), 227 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/MOEGALLERYOFC.
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.