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Channel

德傳媒官方新聞頻道

@moralmedia

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

7,638subscribers

-139 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-1001446387003
TypeChannel
Username@moralmedia
Created31 May 2020measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/moralmedia

Topic

International news — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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

7,6387,7787,7086 August 2026 — 7,777 subscribers6 August 2026 — 7,778 subscribers9 August 2026 — 7,769 subscribers13 August 2026 — 7,762 subscribers16 August 2026 — 7,748 subscribers19 August 2026 — 7,738 subscribers22 August 2026 — 7,723 subscribers25 August 2026 — 7,714 subscribers28 August 2026 — 7,707 subscribers31 August 2026 — 7,696 subscribers3 September 2026 — 7,683 subscribers9 September 2026 — 7,659 subscribers13 September 2026 — 7,647 subscribers17 September 2026 — 7,638 subscribers6 August 202617 September 2026
14 measurements spanning 42 days, net -139. 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 7,617–7,799 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 07:027,638-9
13 Sept 2026, 09:387,647-12
9 Sept 2026, 08:177,659-24
3 Sept 2026, 23:397,683-13
31 Aug 2026, 14:477,696-11
28 Aug 2026, 22:167,707-7
25 Aug 2026, 20:487,714-9
22 Aug 2026, 20:587,723-15
19 Aug 2026, 13:257,738-10
16 Aug 2026, 20:367,748-14
13 Aug 2026, 05:287,762-7
9 Aug 2026, 21:127,769-9
6 Aug 2026, 18:117,778+1
6 Aug 2026, 16:387,777first reading

Engagement

75 posts held, back to 3 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 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.23%
avg views ÷ 7,638 subscribers
Avg views / post
400
18 posts measured
Reaction rate
3.36%
reactions ÷ views · ER floor
Posts in window
18
of 75 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 held75 (3 August 202628 August 2026)
Views total7,194
Reactions total242
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 20:53 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 33m
Average length
1m 55s

Measured directly from 49 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

1,026 reactions across 75 posts, in 29 distinct kinds. The most used accounts for 17.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17817.3%
🤬14013.6%
🔥12312.0%
👍10410.1%
💯949.16%
🙏727.02%
😡434.19%
🙈434.19%
🏆333.22%
313.02%
😈302.92%
🫡201.95%
👏181.75%
😱171.66%
🙉141.36%
🕊121.17%
🤯100.975%
😢90.877%
🤣70.682%
🙊60.585%
9 further kinds222.14%

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 75 of the 75 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 1,026 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 75 most recent posts we hold, published 3 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.

Recent posts

28 Aug 2026, 15:47 UTC70 views6 reactionsread 28 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

🎥🎞️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4

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28 Aug 2026, 11:56 UTC348 views12 reactionsread 28 August 2026
Video

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

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28 Aug 2026, 06:58 UTC193 views13 reactionsread 28 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryVideo

🔔推薦。必看系列🔔 如果你認為「#地震機」 已經是 #厲害武器?錯! 它還可以「#控制交通工具」 「#吹哨人 站岀來:揭露 #冰牆 #南極洲 正在發生的瘋狂事 - #南極站 實際上已經成為了一個 #全球空中交通管制站!」 接上 ⏩️ (1)|(2)|(3) 重大披露:吹哨人揭露南極洲的真實情況、還揭露關於2011年 #紐西蘭基督城大地震 的原因…. #埃里克·赫克(#EricHecker)是「#雷神公司 - #Raytheon」聘用的 #承包商,他揭露了位於南極洲(冰牆)的5,160個「#多面定向能武器 (#DEW) #微中子探測器平台 - Multifaceted Directed Energy Weapons - #NeutrinoDetector」的真實面目! ~它們不是什麼天文用途 ~能 #引發地震 ~能偵測任何「#交通工具」 ~它是 #ELF #雷射武器類型 ~它採用 #異常的能源 〰️〰️〰️〰️ 「#軍

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27 Aug 2026, 20:01 UTC736 views22 reactionsread 28 August 2026
Video

🇳🇵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

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27 Aug 2026, 17:33 UTC276 views13 reactionsread 28 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryVideo

🇳🇵🇨🇳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

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27 Aug 2026, 09:12 UTC308 views11 reactionsread 28 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryVideo

🔔推薦。必看系列🔔 #女權主義的起源:#洛克菲勒 《 #崇高背後的邪惡 》 #女權運動背後的真正動機 在一次歷史性的採訪中,電影製作人兼音樂推廣人 #亞倫羅素(#AaronRusso)深入探討了一些駭人聽聞的內幕…. #洛克斐勒家族 的一位成員(#NickRockefeller)向他傳授了一些知識:可稱它為「家庭教育或家族智慧」。 「#婦女解放 之前,我們不能對女人,即一半的 #人口徵稅。而重點是:現在我們可以讓孩子在很小的年紀便上學,方便我們『#向孩子灌輸如何思考』的模式。」 羅素更在911發生之前,就被告知 #策劃恐怖襲擊 的計劃、#入侵外國、啟動 #高科技警察國家 控制網絡、追蹤人民一舉一動、#植入式 #RFID微晶片…. 世界從來就不是你想像的那樣,你忽略:只因你害怕面對 #真相。 〰️〰️〰️〰️ 亞倫羅素(Aaron Russo): 電影導演兼製作人、音樂推廣人、美國演藝界企業家、自由主義政治家 我有一

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26 Aug 2026, 16:54 UTC735 views20 reactionsread 28 August 2026
Video

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

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26 Aug 2026, 16:08 UTC889 views16 reactionsread 28 August 2026
Photo

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

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26 Aug 2026, 15:55 UTC667 views17 reactionsread 28 August 2026
Video

寄生蟲愛咖啡…. 咖啡不僅令你提神 就連寄生蟲也超愛它 看它們在喝咖啡的瞬間 即時跳起咖啡熱舞…. 假如你體內有寄生蟲,它們會否給你訊號,希望你每天多喝幾杯咖啡 ?!☕️🪱 ➰➰➰➰➰➰➰➰➰ 以馬

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26 Aug 2026, 15:25 UTC584 views14 reactionsread 28 August 2026
Video

伊朗🇮🇷民間街頭 到處巡迴洗腦上演 吊死川普。美國去死 活在這樣的極權體制下,民眾要清醒非常困難! 街頭巷尾在上演洗腦表演:「吊死敵人、美國去死!」然後便問群眾,你們今天的日子過得苦嗎? 民眾當然滿腔怒火!食物價格早晚不同。然後,他們就會引導群眾: 「這一切的原因,就是來自外部敵人,你們今天的苦難就是川普和美國造成的。」 是否覺得這劇本很熟口熟面? 任何「失敗的管治」,都會「把責任推到別人身上」! 「為苦難中的民眾,製造一個共同敵人。然後有計劃地引導他們的怒火—— 這就是獨裁者最慣用的技倆。」 ➰➰➰➰➰➰➰➰➰ 以馬

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26 Aug 2026, 12:31 UTC235 views12 reactionsread 28 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryVideo

🇺🇸🇮🇷(一)貝森特喊話伊朗。斬斷「全球協助伊朗生存」的生命線實體:「經濟放逐行動」→ 要令伊朗完全孤立無援 美國財政部長 #斯科特貝森特(#ScottBessent)8月24日發表重要演說: 🔹「今天,在川普總統的指示下,美國財政部啟動『經濟放逐行動』(Operation Economic Outcast):一場針對伊朗及其『縱容者』的空前戰役。」 他以二戰作比喻:諾曼第登陸不是終點,而是把敵人從陣地、包括第三國陣地裡趕出去的起點。今天,美國要做的,是對伊朗全球金融連接發動「經濟猛攻」。 🔔目標只有一句:切斷這流氓政權賴以存活的每一條經濟生命線,直到德黑蘭孤立無援: 「這殘暴政權早晚喊著『美國去死』、追求核武,殘害美國公民和軍人,比地球上任何恐怖政權更甚。對美國、海灣鄰國、及世界開戰已經47年。前政府長期拖延的事,川普做了。美軍已為『永不讓伊朗擁核』打下了基礎;美國的經濟實力,讓財政部可與軍事力量並行,打一場持久的「

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26 Aug 2026, 04:22 UTC276 views12 reactionsread 28 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

🚨殿堂級鄉村音樂歌手桃莉·巴頓離世:一位以善意「加速毒針」的傳奇—— 最終也倒在自己曾大力推銷的魔法下💉💥 鄉村音樂史上最閃亮的巨星之一:#桃莉巴頓(#DollyParton)於2026年8月25日在納什維爾的范德比爾特-英格拉姆癌症中心(Vanderbilt-Ingram Cancer Center)安詳離世,享年80歲。她的侄兒Bryan Seaver代表家人宣佈此消息,表示她已活在光明中。 官方說法是「短暫對抗癌症」。然而,公眾都無法忽視的是,近年來演藝界、名人圈接連倒下—— 阿茲海默症、渦輪癌症、ALS、乳糜瀉、第一型糖尿病、肝腎衰竭、敗血症、主動脈夾層…. 名單愈來愈長。 桃莉的故事,再次成為這場「疫苗接種以至早逝」浪潮中,令人心碎的又一諷刺篇章。 🔔2020年疫情高峰期間,桃莉捐出100萬美元給范德比爾特大學醫學中心,用於「COVID疫苗研究」。這筆錢,直接加速了當時Moderna疫苗的早期研發—— 她本人也

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Showing the 12 most recent of 75 posts we hold for @moralmedia. 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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

俄罗斯资讯参考频道
@JShangrong · 24,860
Telegram ranks this channel #56 of 60 here — alongside 59 others — read 15 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“德傳媒官方新聞頻道” (@moralmedia), 7,638 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/moralmedia.

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.