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Channel

德傳媒官方新聞頻道

@moralmedia

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

7,762subscribers

-15 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 live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/moralmedia

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

7,7627,7787,7706 August 2026 — 7,777 subscribers6 August 2026 — 7,778 subscribers9 August 2026 — 7,769 subscribers13 August 2026 — 7,762 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -15. 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 7,760–7,780 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
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

32 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 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.00%
avg views ÷ 7,762 subscribers
Avg views / post
466
32 posts measured
Reaction rate
3.22%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 held32 (3 August 202612 August 2026)
Views total14,910
Reactions total480
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:08 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
23m 33s
Average length
1m 19s

Measured directly from 18 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

480 reactions across 32 posts, in 26 distinct kinds. The most used accounts for 16.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8016.7%
🤬7816.3%
🔥7315.2%
👍428.75%
💯326.67%
🙈245.00%
🙏234.79%
😡204.17%
😈163.33%
👏142.92%
🏆132.71%
122.50%
😱102.08%
🫡102.08%
🙉91.88%
🤣71.46%
💔30.625%
🎃20.417%
🕊20.417%
😭20.417%
6 further kinds81.67%

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 32 of the 32 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 480reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 3 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, 14:51 UTC78 views10 reactionsread 12 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryVideo

🇨🇳「改革開放」時代重要推手:朱鎔基逝世|「中西方蜜月期」的標誌性人物 中國官媒新華社8月12日晚間受權發布訃告:中共政治局原常委、國務院原總理朱鎔基,因病醫治無效,於2026年8月12日上午11時06分在北京逝世,享年98歲(虛歲,實齡97歲)。 訃告以最高規格,評價他為「中國共產黨的優秀黨員、久經考驗的忠誠的共產主義戰士、傑出的無產階級革命家、政治家、黨和國家的卓越領導人」,並稱其一生是「革命的一生、戰鬥的一生、光輝的一生」。 🔹從「右派」到「經濟沙皇」: 朱鎔基1928年10月生於湖南長沙,清華大學電機系電機製造專業畢業。1949年10月加入中國共產黨。早年曾因「反右運動」被劃為「右派」、開除黨籍長達20年。被下放到「五七」幹校勞動,種過田、放過牛羊、當過炊事員。 1978年恢復黨籍後,仕途才真正起步。他曾在上海與江澤民共事,歷任上海市長、市委書記。 🔹「1989年學運後調赴北京」,先後出任國務院副總理、中國人民

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12 Aug 2026, 10:41 UTC374 views9 reactionsread 12 August 2026
Photo

香港🇭🇰作為「國際大都會」 「DIEversity」怎能少你的份兒?! 8月10日香港薄扶林碧瑤灣上午,發生一宗嚴重的持刀傷人案,一名22歲「南亞裔男子」懷疑精神病發,赤膊「持刀追斬途人」,導致一名外傭及一名屋苑保安員受傷。 男子最終當場被保安員及途人合力制服,被警方拘捕。警方其後登門調查,發現其單位內,有一隻「受傷的家貓」,約半歲大,為雌性的英國短毛貓,頭部有兩個明顯傷口,其中一個傷口較深。 懷疑有人先於寓所內斬傷其飼養的寵物小貓,再持刀落樓施襲。 警員搜查男子住所後,尋獲該隻右邊頭部流血的受傷小貓。經初步檢驗後,確認小貓頭部有刀傷,但仍然清醒。警方檢取貓隻作為證物,並提供獸醫治療及適切照顧。 Source 1|Source 2 ➰➰➰➰➰➰➰➰➰ (Uncle|以馬)

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12 Aug 2026, 07:34 UTC434 views12 reactionsread 12 August 2026
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🇨🇳一個被「外國人的父母」統治下的國家:卻成功地「調教」出天天喊愛國的人民—— 果然是「厲害國」‼️ 颱風「白海豚」再兇,也浸不濕他們的腳跟,因為…. ~中央委員205名,當中187名子女親屬在歐美居住生活和移民,佔總數91% ~中央候補委員167名,當中142名子女家屬在海外,佔總數85% ~中紀委委員127名,當中113名子女家屬移居海外,佔總數75% ~中共部級以上官員中,子女擁有外國綠卡等合法身份的,佔總數92% 🔹據統計,中央各部委省自治區直轄市各級領導人的配偶、子女,在西方國家居住和入籍西方國家的總人口,多達344,290人 這就是權貴們「愛國家、愛人民」偉大夢想的體驗。14億人口(如果還有的話)的中國,就這樣被一群「外國人的父母」統治,真夠「國際化」。 Source 1|Source 2 Source 3|Source 4 Source 5 ➰➰➰➰➰➰➰➰➰ 以馬

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11 Aug 2026, 18:57 UTC243 views11 reactionsread 12 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥經典「宇宙套餐」:2026年8月12日|一天內兩個百年一遇場景|挑戰一天解鎖三大天象:天文三連擊‼️ 🔔2026年8月12日,這絕對不是普通的一天!在地球自轉的這24小時裡,天空將「連續上演三場重量級天文奇觀」: 1)日出前的六星連珠 2)白天的日全食 3)晚上新月下的英仙座流星雨 🔹對齊(Alignment)、閉合(Closure)、黑暗中的光芒(Light in the Dark),全部堆疊在同一天!古人不會稱它為巧合,他們稱之為「匯聚」。 🔔「匯聚」不會帶來全新的東西,它只會「放大你體內已經在運行的任何事物」! 這是近年來最值得熬夜、也最值得早起的一天。錯過這套「白天黑夜雙天象」的豪華配置,再等就要到2045年了! 🪐第一場:日出前—— 六星連珠(行星大遊行) 日出之前,六顆行星同時出現在天空:木星、水星、火星、天王星、土星、與海王星。多年來各自運行的天體,在同一個早晨,排成一條沿著黃道的弧線。 火星與土星

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11 Aug 2026, 12:00 UTC480 views11 reactionsread 12 August 2026
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不能承受的錯:一個 「新興擁核的伊斯蘭國家」…. 「🇬🇧英國正邁向成為一個擁有核武的伊斯蘭國家。他們很快就會對美國構成嚴重威脅。」 "The United Kingdon is turning into an Islamic state with nuclear weapons. They could soon be a serious threat to us in America." ~JD Vance (萬斯) ➰➰➰➰➰➰➰➰➰ 以馬

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11 Aug 2026, 11:30 UTC477 views12 reactionsread 12 August 2026
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殺一個人與殺一百萬人的分別…. 如果你毒死某人,你會進監獄。 然而,當輝瑞(Pfizer)和莫德納(Moderna)毒害大量人口:導致流產、心肌炎、血栓、和死亡時…. 他們的「產品」卻依然獲得FDA批准,政府還強制要求使用…. 而他們賺了數百億美元! ➰➰➰➰➰➰➰➰➰ 以馬

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11 Aug 2026, 08:50 UTC186 views16 reactionsread 12 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryVideo

‼️「耶穌沒教導我們懦弱, 那是來自撒旦的污染‼️」 「幾個世紀以來,是什麼把基督徒練就成一代比一代懦弱、節節敗退、並自我塑造道德籠子?」 🔔聖經並未教導我們要「寬容」或「不要論斷」:現代文化將「沉默」包裝成「仁慈」,但聖經卻稱之為「懦弱」。 🔹聖經從未命令我們要「寬容罪惡」。相反,它明確命令我們要「講求真理」: 「愛必須是真誠的。恨惡邪惡。」 ~羅馬書 12:9 「不要參與黑暗無益的事,倒要責備它們。」 ~以弗所書 5:11 🔹就連基督自己,也責備「推雅推喇教會」的過度寬容: 「你容忍那自稱為先知的女人耶洗別…. 她的教訓使我的僕人走入歧途。」~啟示錄 2:20 🔔「不要論斷」→ 從來不是叫人閉口不言。它真正的意思是:「不要以虛偽的標準去論斷。」 耶穌說:「不可按外貌判斷,總要按公義判斷。」~約翰福音 7:24 「愛」是「呼召罪人悔改」。 「寬容」卻是讓人「安於罪中」。 愛說:「回轉歸向神。」 寬容會說:「就這

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10 Aug 2026, 19:41 UTC249 views17 reactionsread 12 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryVideo

‼️文明與野蠻:贏在起跑線‼️ 令人不寒而慄的現實…. 🔹這畫面實在令人心寒! 在一所德國🇩🇪托兒服務中心內,一名「穆斯林小孩」,以自己認知的方式,用塑膠玩具刀,屠宰一頭毛毛羊,並試圖「割喉」模擬「放血」…. 🔹這正是傳統的 #清真(#Halal)屠宰方式,稱為 #Zabiha 或 #Dhabihah: 🔔伊斯蘭教法中明確規定「動物被宰殺時必須是活的」。 🔔因此,按教法規範的傳統屠宰方式,核心步驟就是「先割斷活生生動物的喉嚨來放血」,讓動物因失血而死。比起現代文明社會普遍採用的電擊致暈後再處理,這所謂的「傳統方法」,會令動物在死前承受更長時間的痛楚與恐懼。 🔹正當其他德國小孩在愛中成長,學習如何愛護動物、「與其他生物共存」—— 就如該國政府,把「其他物種」大量放進自己的社區一樣,他們只一味要求自己的國民,學習「包容和共存」。 🔔當自己的國民,從小被灌輸「包容共存」之際,「放進來的物種」卻從小就純熟地練習屠宰、放血、對

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10 Aug 2026, 10:50 UTC692 views20 reactionsread 12 August 2026
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🇯🇵對不文明者的「壽司化宅急便」 訓練有素的日本警察,對於那些令人忍無可忍的「不文明者」,他們開始了一種「壽司化處理程序」。 他們的團隊精神、合作分工和效率,令人大開眼界,快速地完成「壽司化打包、逮捕、並宅急便式遣返」! 代碼是:行動、行動、行動,少講廢話! 文明與不文明,沒有共通語言。 Source ➰➰➰➰➰➰➰➰➰ 以馬

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9 Aug 2026, 20:47 UTC792 views18 reactionsread 12 August 2026
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你怎能忘記?!把一切死亡 包括「交通意外」也計入 「COVID死亡病例」的日子…. 2020年,正是福奇(Anthony Fauci) 與黛博拉·伯克斯(Deborah Birx)隻手遮天的時候: 🔹「只要人們死的時候呈『COVID陽性』,我們便將其計入 『死於COVID 』的死亡病例。」 🔹他們更將摩托車交通意外、路邊槍擊、自殺、暴力刺傷、甚至車禍…. 通通計入「COVID 死亡病例」…. 🔹這樣便造出了「大量死亡數字」的假象: 🔔一切都是為了「製造恐懼和恐慌」,好讓你接種他們的「COVID 疫苗」。 〰️〰️〰️〰️ Deborah Birx:前CDC官員。2020-21年期間,出任白宮新冠病毒應對工作組協調員。 Source ➰➰➰➰➰➰➰➰➰ 以馬

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9 Aug 2026, 16:42 UTC275 views15 reactionsread 12 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

🚨穆斯林今天的囂張氣焰是怎樣來的?沒人會因「侮辱基督教」而被亂石砸死,然而高舉「耶穌是王」卻被擲石頭! 「全球反伊斯蘭浪潮」一觸即發 「真正的寬容:從來不是 單向而無底線的自我閹割….」 🔹全球幾乎所有西方國家(日本也算是西方陣營)已逐漸形成「反穆斯林浪潮」。多年以來,人們都懼怕被貼上「歧視」、「仇穆」的標籤,把許多對他們不滿的行為全部啞忍,視而不見、聽而不聞,美其名為「包容」。 🔹正是這種「單向的容忍」,助長了他們的氣焰、勢力、以至在世界各地的迅速擴張。 人們心中累積的怨氣,過去每當想開口評論時,往往一開口就被指責歧視必須閉嘴。這就是歐洲長期「包容惹的禍」。終於到了今天,當更多人敢一起罵、敢一起開口說的時候,積壓多年的不滿便如火山爆發,一呼百應的「全球反伊斯蘭浪潮」一觸即發。 🔹迪爾伯恩事件:「言論自由」在美國街頭的真實寫照—— 🔔2026年8月2日,密西根州 #迪爾伯恩(#Dearborn)舉行年度Arbaeen

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8 Aug 2026, 18:05 UTC880 views20 reactionsread 12 August 2026
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一切都是假🔱只有騙子才是真 一個計劃好的「人口減少議程」: COVID大流行 一個設計好的「生化武器」: COVID疫苗 一個無中生有的「檢測系統」: PCR檢測 一個不科學且「危害健康的陷阱」:戴口罩 一個毫無科學根據的「服從訓練」:保持社交距離 一種兇殘而虛假的偽科學: 疫苗科學 一群朋比為奸「阻止人們接觸真相」的關鍵:假資訊媒體 一些只執行「人口議程」而非保護人民福祉的「虛假政府部門」:CDC、FDA…. 台前兩個大魔頭「福奇+比爾蓋茨」:一個正在司法程序、另一個還會遠? ➰➰➰➰➰➰➰➰➰ 以馬

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Showing the 12 most recent of 32 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.

Citation-graph rank

Citation-graph rank — 16,236 of 1,478,351entries 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

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

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.

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

“德傳媒官方新聞頻道” (@moralmedia), 7,762 subscribers as measured 13 August 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.