地球正義聯盟~資料館 pinned a photo

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
9,257subscribers
-228 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 |
|---|---|
| Type | Channel |
| Username | @EarthJusticeLeague_DataLibrary |
| Description | 《生命影響生命》 活出意義。發出亮光 Earth Justice League~Data Library ➡️ https://t.me/EarthJusticeLeague_DataLibrary Earth Justice League ➡️ https://t.me/EarthJusticeLeague X: ➡️ https://x.com/ImanuelAarde Patreon: ➡️ https://patreon.com/EarthJusticeLeague |
| Created | 9 October 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.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 the other topics.
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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 08:09 | 9,257 | -3 |
| 31 Oct 2026, 02:50 | 9,260 | -13 |
| 28 Oct 2026, 03:01 | 9,273 | -12 |
| 24 Oct 2026, 17:06 | 9,285 | -5 |
| 21 Oct 2026, 11:15 | 9,290 | -10 |
| 18 Oct 2026, 05:01 | 9,300 | -5 |
| 15 Oct 2026, 07:56 | 9,305 | -5 |
| 11 Oct 2026, 21:02 | 9,310 | -21 |
| 5 Oct 2026, 13:54 | 9,331 | -16 |
| 27 Sept 2026, 13:57 | 9,347 | -12 |
| 18 Sept 2026, 04:19 | 9,359 | -5 |
| 14 Sept 2026, 05:01 | 9,364 | -12 |
| 10 Sept 2026, 14:17 | 9,376 | -25 |
| 5 Sept 2026, 12:39 | 9,401 | -17 |
| 1 Sept 2026, 04:37 | 9,418 | -10 |
| 29 Aug 2026, 01:43 | 9,428 | -14 |
| 26 Aug 2026, 04:05 | 9,442 | -22 |
| 22 Aug 2026, 19:44 | 9,464 | +3 |
| 19 Aug 2026, 18:42 | 9,461 | -3 |
| 16 Aug 2026, 18:24 | 9,464 | first reading |
Engagement
179 posts held, back to 5 August 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 36 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.29%
- avg views ÷ 9,257 subscribers
- Avg views / post
- 490
- 8 posts measured
- Reaction rate
- 3.37%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 179 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.
| Window | Rolling 30 days · latest post in window 3 November 2026 |
|---|---|
| Posts held | 179 (5 August 2026 – 3 November 2026) |
| Views total | 3,919 |
| Reactions total | 132 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 09:03 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
- ≈9,590
- Videos
- ≈6,980
- Links
- ≈7,730
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 1h 51m
- Average length
- 2m 00s
Measured directly from 56 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
1,535 reactions across 90 posts, in 32 distinct kinds. The most used accounts for 20.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 313 | 20.4% | |
| ❤ | 249 | 16.2% | |
| 🔥 | 164 | 10.7% | |
| 🙏 | 154 | 10.0% | |
| 💯 | 121 | 7.88% | |
| 🤬 | 93 | 6.06% | |
| 😈 | 68 | 4.43% | |
| 😡 | 59 | 3.84% | |
| 🏆 | 54 | 3.52% | |
| ⚡ | 44 | 2.87% | |
| 🙈 | 32 | 2.08% | |
| 🕊 | 29 | 1.89% | |
| 😱 | 27 | 1.76% | |
| 🫡 | 27 | 1.76% | |
| 👏 | 16 | 1.04% | |
| 💔 | 11 | 0.717% | |
| 😨 | 10 | 0.651% | |
| 🙉 | 10 | 0.651% | |
| 🤯 | 10 | 0.651% | |
| 😢 | 7 | 0.456% | |
| 12 further kinds | 37 | 2.41% |
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 90 of the 179 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 1,535 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 179 most recent posts we hold, published 5 August 2026 to 3 November 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
- 3
- across the posts below
- Posts paid on
- 3
- of 90 we hold a reading for · 3%
- 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 179 most recent posts we hold for this entry, published 5 August 2026 to 3 November 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
Telegram’s own ‘edited’ marker: 0 of 16 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
耐人尋味的數字: 這世界有很多莫名奇妙的事情…. 🔹「5億」歐洲人,指望「3億」美國人保護他們,去抵禦「1.4億」俄羅斯人—— 而這些俄羅斯人連「4000萬」烏克蘭人都打不過。 🔹同時,這「5億」歐洲人,甚至沒意識到,自己正被「20億」穆斯林「征服」。 🔹而這些穆斯林卻聲稱,他們正受到「900萬」以色列人的迫害。 這世界真奇怪…. 🧐 ➰➰➰➰➰➰➰➰➰ 以馬
👍12💯2❤1👏1🔥1
地球正義聯盟~資料館 pinned a video
🚨馬斯克警告:美國的終局…. 💥Game Over For America‼️ 這是Elon近年來最直接、最硬核的政治表態之一。他明確表達這次「中期選舉」的參議院席次,定位為阻止美國走向「永久一黨專政」的關鍵防火牆‼️ 〰️〰️〰️〰️ 民主黨若2028橫掃三權,美國將會淪為「永久一黨專政」…. 馬斯克: 我最大的擔憂是:如果民主黨在2028年橫掃眾議院、參議院、及總統職位,他們將會—— 1)他們會把華盛頓特區與波多黎各「升格為州」,藉此在參議院取得壓倒性多數。 2)全面開放邊境,並把所有非法居留美國者一概合法化,以鎖定「永久大多數」。 3)擴充最高法院席次,立刻取得多數控制。這將使美國變成「永久的一黨專政國家」,民主在任何實質意義上都將終結‼️ 🔔要阻止這一切的發生,只需在2029年確保參議院有51席共和黨議員。 🔔這就是為什麼這次選舉,你必須投票給共和黨參議員。其他理由相比之下,已經不再重要。 〰️〰️〰️…
🙏7👍2💯2❤1🏆1
地球正義聯盟~資料館 pinned a video
幾乎沒皮膚的身軀 一顆永不放棄的心 11歲的伊拉克男童艾薩,外表脆弱得令人心疼。他全身極度消瘦,四肢細弱,只能活在輪椅上。 🔹他的皮膚雖然存在,但非常薄、緊繃,且幾乎缺乏正常的皮下脂肪,因此骨頭、血管與關節特別明顯。 🔹四肢肌肉量嚴重不足,整體呈現嚴重營養不良、及脂肪代謝異常的狀態。這些特徵與早衰症(Progeria)類疾病,或其他嚴重的遺傳性代謝/結締組織疾病相似,常見表現包括皮下脂肪幾乎消失、肌肉萎縮、皮膚變薄老化、頭髮稀疏等。這是一種極為罕見的遺傳性疾病。 🔹艾薩每天靠靜脈營養(TPN)維生,無法正常進食,身體極度消瘦。據社群媒體的訊息,家人正計劃帶他前往印度進行DNA檢測,希望透過基因分析,找出艾薩的確切病因,為未來的精準治療或照護打開一扇窗。 印度在這類遺傳性疾病的基因診斷與研究上已有一定經驗,相關中心可協助全外顯子或目標基因定序。 🔔即使帶著殘破的身軀,艾薩的眼神與緊握的雙拳仍透著不屈的堅韌。他不是受害者…
🙏12😢3❤1👍1💔1
地球正義聯盟~資料館 pinned a photo
我不會與人爭論它是「飛機」還是「導彈」 就像25年前,當時人們的認知,根本無法理解飛機怎麼會在戶外被投影出來。這一次,海湖莊園附近的「所謂飛機事故」,情況類似。 但至少,我們可以從他們的「作品」中,找到留下的簽名: ~發生在11月9條人命(9/11) ~還有一年一度的《經濟學人》預言封面 對未知的事,保持謙卑與好奇。 不要低估他們的邪惡。 ➰➰➰➰➰➰➰➰➰ 以馬
👍7⚡3🙏3💯2🔥2🏆1
地球正義聯盟~資料館 pinned a video
🚨「推翻美國政府」的圖謀曝光:錄音流出—— 前USAID官員與退役將領密謀「中期選舉後」宣佈聯邦政府「不合法」把權力交給民主黨州長‼️ 🔔一段2026年8月13日的錄音通話流出,揭露一群前聯邦官員、退役軍人、大使、與非政府組織成員正在私下規劃「那一天」—— 他們自行決定宣佈美國聯邦政府「不合法」時,早已寫好備忘錄,指示民主黨州長如何接管國家的領導權。 🔹這段錄音由研究員「#DataRepublican (真實姓名 #JennicaPounds)」公開。據她揭露:通話參與者約200–300名前美國國際開發署(#USAID)民主與治理部門官員組成的網絡有關。 🔔這些人在過去數十年以「民主援助」標籤,將美國納稅人的錢輸送到海外的「顏色革命」與反對派支援的計劃中。華盛頓承包商、顧問、及非營利組織從中發大財,資金再流回國內同一批人的口袋。 🔔直到川普政府與 #DOGE 徹底砍掉USAID預算、合約、及肥缺後,他們失去了源源不絕的資…
😡8🔥3⚡2❤2😈2🤬1🤯1
地球正義聯盟~資料館 pinned a video
🚨🛩️海湖莊園安危只差5-8英里:飛機便直插屋頂💥 就是這些尖端科技佈置,造出那5-8英里的距離,讓海湖莊園(MaraLago)避過了飛機墜在屋頂嗎? 發生在中期選舉一天前。 沒有意外、沒有偶然。 ➰➰➰➰➰➰➰➰➰ 以馬
🙏7👍2🔥2⚡1❤1💯1🕊1
Showing the 12 most recent of 179 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.
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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
@shixun160 · 22,747
Telegram ranks this channel #11 of 60 here — alongside 59 others — read 19 September 2026
@JShangrong · 24,180
Telegram ranks this channel #38 of 60 here — alongside 59 others — read 15 September 2026
@PostVaksinFenomenaMalaysia · 30,075
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“地球正義聯盟~資料館” (@EarthJusticeLeague_DataLibrary), 9,257 subscribers as measured 3 November 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.