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Channel

地球正義聯盟~資料館

@EarthJusticeLeague_DataLibrary

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

9,359subscribers

-126 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001700237518
TypeChannel
Username@EarthJusticeLeague_DataLibrary
Created9 October 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/EarthJusticeLeague_DataLibrary

Topic

Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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.

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

9,3599,4859,4226 August 2026 — 9,485 subscribers6 August 2026 — 9,485 subscribers7 August 2026 — 9,483 subscribers10 August 2026 — 9,481 subscribers13 August 2026 — 9,472 subscribers16 August 2026 — 9,464 subscribers19 August 2026 — 9,461 subscribers22 August 2026 — 9,464 subscribers26 August 2026 — 9,442 subscribers29 August 2026 — 9,428 subscribers1 September 2026 — 9,418 subscribers5 September 2026 — 9,401 subscribers10 September 2026 — 9,376 subscribers14 September 2026 — 9,364 subscribers18 September 2026 — 9,359 subscribers6 August 202618 September 2026
15 measurements spanning 42 days, net -126. 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 9,340–9,504 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 04:199,359-5
14 Sept 2026, 05:019,364-12
10 Sept 2026, 14:179,376-25
5 Sept 2026, 12:399,401-17
1 Sept 2026, 04:379,418-10
29 Aug 2026, 01:439,428-14
26 Aug 2026, 04:059,442-22
22 Aug 2026, 19:449,464+3
19 Aug 2026, 18:429,461-3
16 Aug 2026, 18:249,464-8
13 Aug 2026, 14:369,472-9
10 Aug 2026, 07:329,481-2
7 Aug 2026, 12:419,483-2
6 Aug 2026, 16:409,485no change
6 Aug 2026, 16:399,485first reading

Engagement

163 posts held, back to 5 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 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.89%
avg views ÷ 9,359 subscribers
Avg views / post
458
30 posts measured
Reaction rate
3.98%
reactions ÷ views · ER floor
Posts in window
60
of 163 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 28 August 2026
Posts held163 (5 August 202628 August 2026)
Views total13,731
Reactions total546
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:23 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
1h 45m
Average length
2m 04s

Measured directly from 51 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

1,403 reactions across 82 posts, in 32 distinct kinds. The most used accounts for 20.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍28420.2%
23616.8%
🔥15210.8%
🙏1168.27%
💯1138.05%
🤬926.56%
😈664.70%
😡513.64%
🏆503.56%
362.57%
🙈322.28%
🕊282.00%
😱271.92%
🫡271.92%
👏151.07%
💔100.713%
😨100.713%
🙉100.713%
🤯90.641%
😭60.428%
12 further kinds332.35%

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 82 of the 163 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 1,403 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 163 most recent posts we hold, published 5 August 2026 to 28 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 82 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @EarthJusticeLeague_DataLibrary. 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 163 most recent posts we hold for this entry, published 5 August 2026 to 28 August 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

28 Aug 2026, 15:43 UTC580 views12 reactionsread 29 August 2026
Photo

🎥🎬電影塑造現實《2012》電影海報實現?!喜馬拉雅被吞噬、寺院被巨浪拍碎、僧人站在崖邊回望…. 曾幾何時有人拍了一部電影,把我們今天正在走的路,提前演了一遍…. 🔹不是要你今天按著劇本走。而是當眼前的畫面越來越像那部電影時,你可以倒過來想:他們當初為什麼這樣寫?他們早知道了方向,想引導我們走向哪些他們早預設的方向?! 🔔到了今天我們都知道:結果是可以改變的!! 但這些電影的確有助我們,在不知道下一步該怎麼走時,至少可以充當一塊磨刀石—— 不是預言,而是推敲的起點。 🔔很多人在這幾天都想起了《2012》,在電影中,海嘯吞沒喜馬拉雅、寺院被巨浪拍碎、僧人站在崖邊回望的那張海報,赫然發現它不再只是電影海報! 2026年8月26日,尼泊爾與西藏交界的喜馬拉雅山區,冰川崩塌、地震,泥、石、冰、水混成「內陸海嘯」,以每秒約五十公尺的速度沖下來,沿途村莊、橋梁、水電廠、朝聖路線被連根拔起。 截至8月28日,尼泊爾已確認至少46

🙏42🕊2🏆1👍1💯1🔥1

28 Aug 2026, 11:57 UTC249 views18 reactionsread 29 August 2026
Forwarded from @moralmediaVideo

烏克蘭🇺🇦抓壯丁產業鏈…. 「我不想死,我只有23歲,我不要上前線….」 「救我!救我!我的孩子在家中等我….」 「我本不應在這裡!媽媽!這裡到處炸彈橫飛,只剩下我一個人,誰可以來救救我?!我是個大儍瓜!我以為這就如拍電影般簡單!我不可能逃出生天了…. 天啊!媽媽,請你原諒我!我不再想要這樣了!」 〰️〰️〰️〰️ 🇺🇦烏克蘭徵兵外勤隊,日以繼夜,在國內到處「抓壯丁上前線」! 抓的都是清一色「窮人的孩子」。 因為富人用錢買通了,好讓自己和孩子都順利脫身,而窮人和他們的孩子,就被塞進麵包車,與家人沒一句道別,便被丟到戰場如棄嬰。 在烏克蘭,無論在麵包店前、公車站、馬路中間,都會當場被抓走。 然而,只要誰有足夠的金錢,就可以「突然」從政府名單上消失! 2,500到30,000 美元不等,以換取延期、入學、出境。有誰拿不出來,就得奔赴前線。 〰️〰️〰️〰️ ~「上面」坐著延長戰爭的人。 ~「下面」坐著為戰爭送命的

🙏6💔4😈31🤬1😡1😢1😭1

27 Aug 2026, 20:03 UTC319 views32 reactionsread 29 August 2026
Forwarded from @moralmediaVideo

🇳🇵尼泊爾🦣大象救人類 人們在洪水中絕望地求救,命懸一線之際,來拯救他的,竟然是一頭有情有義的大象! 牠展現「人性」的一面。 影片在網上病毒式傳播。 你可有到過一些旅遊景點,見過人類如何虐待大象,讓牠們終身活在鎖鍊之下?! 還有在非洲,那些拿著獵槍,獵殺大象來圖利的人…. 我們看見動物出手救人類,我們又看見人類(出於許多複雜的原因)而對同類袖手旁觀: 「人性」兩個字變得有點兒耐人尋味…. ➰➰➰➰➰➰➰➰➰ 以馬

21🙏4👍3🏆1👏1💯1🫡1

27 Aug 2026, 17:30 UTC≈1,150 views21 reactionsread 29 August 2026
Video

🇳🇵🇨🇳中國。尼泊爾:史詩級災難 由地震觸發一場:數世紀以來最嚴重的洪災 地震引發了中國與尼泊爾數百年來最嚴重的突發性洪災。洪水來勢洶洶,許多人試圖逃離,很多人被捲走。救援行動持續展開,當地居民表示:失蹤人數太多,直升機不敷應用。 🔹這場洪水規模之巨大,堪稱「世界末日級」。活生生的災難電影現場。洪水沖垮水壩、橋梁、口岸、村莊、道路、與水電設施。 🔹2026年8月26日清晨,尼泊爾沒下一滴雨。住在博特科西河沿岸的人,先聽到一聲巨響,然後看見眼前的一切:裹挾泥沙的洪流高達數層樓,幾秒鐘內吞噬房屋、橋梁、整條道路。 人們往高處跑,許多人就此被吞噬。天空晴朗,一滴雨也沒有。那麼水從哪裡來?答案在約25公里外的西藏邊境。 🔹災難連鎖: 初步記錄顯示,邊境附近出現約5.2級地震訊號。冰塊、岩石、與泥漿湧入河道,在山谷形成臨時的天然堤防。一場巨大的冰岩雪崩在尼泊爾 – 中國邊境引發連鎖反應:雪崩與碎片阻斷河流,形成臨時堰塞湖。阻礙物

🙏105🔥2😢2💔1😡1

26 Aug 2026, 17:00 UTC394 views23 reactionsread 29 August 2026
Forwarded from @moralmediaVideo

政治人物故事 往往比政治更能令人動容 川普年少時,母親給了他一本聖經。數十年過去,這本聖經一直伴隨著他走進了總統府。 然後,經歷了「巴特勒暗殺未遂」: 「一顆子彈差點兒改寫了美國歷史,而川普倖存了下來。」 數月後,他站在全國人民面前,宣稱他相信上帝拯救了他的生命,是有原因的。 多年來,許多基督徒,都會將川普比作「居魯士王(Cyrus The Great)和合本譯為「古列王」): 「一個不完美的人,卻在歷史的關鍵時刻,被上帝使用。」 是巧合?是天意?只有他與上帝之間才能理解。 但無可否認…. 川普的旅程,已經成為美國政治史上,最非凡、最令人動容的故事之一。 ➰➰➰➰➰➰➰➰➰ 以馬

13🙏6👍2🕊2

26 Aug 2026, 16:09 UTC333 views22 reactionsread 29 August 2026
Forwarded from @moralmediaPhoto

試圖改變一個難以改變的世界 你要具備…. 小羅伯特·甘迺迪(RFK Jr.) 談祖高域(Novak Djokovic) : 「感謝你挺身『捍衛自由』。正如我父親(RFK)所說:『道德勇氣比戰場上的英勇、或過人的智慧更為稀缺』。然而,對於那些『試圖改變這個難以改變的世界』的人來說,它卻是必不可少的特質。」 ➰➰➰➰➰➰➰➰➰ 以馬

11👍5💯3🏆1🕊1🫡1

Showing the 12 most recent of 163 posts we hold for @EarthJusticeLeague_DataLibrary. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

🥗 视讯快报~密接巨变时代
@shixun160 · 22,955
Telegram ranks this channel #11 of 60 here — alongside 59 others — read 19 September 2026
俄罗斯资讯参考频道
@JShangrong · 24,860
Telegram ranks this channel #38 of 60 here — alongside 59 others — read 15 September 2026
Post Vaksin Fenomena Malaysia 🇲🇾🍁🍁
@PostVaksinFenomenaMalaysia · 30,626
Telegram ranks this channel #52 of 67 here — alongside 66 others — read 6 September 2026

This channel appears in 3 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“地球正義聯盟~資料館” (@EarthJusticeLeague_DataLibrary), 9,359 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/EarthJusticeLeague_DataLibrary.

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.