Telegram RegisterThe public register of Telegram
Telegram profile photo for 德傳媒官方新聞頻道

Channel

德傳媒官方新聞頻道

@moralmedia

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,445subscribers

-332 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
Description德傳媒致力於恢復傳統道德價值觀。 歡迎加入 #德傳媒交流群組 第一時間交流時事資訊 https://t.me/+f7XStomgTNJmMmVl 為了大家能有一個乾淨、暢所欲言的交流環境,敬請朋友們遵守規則🙏🙏🙏 🈲暴力、色情內容 🈲重複洗版內容 🈲謾罵、侮辱性內容 🈲廣告、鏈接 本頻道群組不能發鏈接,是出於安全和時間考慮。有群組因受到機器人的「灌水」攻擊,多年的心血一夜之間化為烏有。我們的管理員都是義務服務的,沒有時間24小時看著群組不受攻擊,所以採用了機器人管理。對於給大家帶來的不便敬請原諒🙏🙏
Created31 May 2020 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 12 November 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@EarthJusticeLeague_DataLibrary72 (8/8 hand-verifiable sample passed)1.002 minutes@EarthJusticeLeague_DataLibrary (38–34)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 4 of the 4 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 101 comparable posts for this entry, running 3 August 2026 to 14 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @moralmedia — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 15 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

7,4457,7787,611.56 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 subscribers25 September 2026 — 7,597 subscribers4 October 2026 — 7,554 subscribers10 October 2026 — 7,545 subscribers14 October 2026 — 7,531 subscribers17 October 2026 — 7,513 subscribers21 October 2026 — 7,504 subscribers24 October 2026 — 7,496 subscribers27 October 2026 — 7,489 subscribers30 October 2026 — 7,483 subscribers2 November 2026 — 7,477 subscribers5 November 2026 — 7,471 subscribers8 November 2026 — 7,457 subscribers12 November 2026 — 7,445 subscribers6 August 202612 November 2026
27 measurements spanning 98 days, net -332. 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 7,395–7,828 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
12 Nov 2026, 13:057,445-12
8 Nov 2026, 16:167,457-14
5 Nov 2026, 12:597,471-6
2 Nov 2026, 18:177,477-6
30 Oct 2026, 11:567,483-6
27 Oct 2026, 14:057,489-7
24 Oct 2026, 11:557,496-8
21 Oct 2026, 03:007,504-9
17 Oct 2026, 14:407,513-18
14 Oct 2026, 05:287,531-14
10 Oct 2026, 15:357,545-9
4 Oct 2026, 22:167,554-43
25 Sept 2026, 09:427,597-41
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, 20:487,714first reading

Engagement

112 posts held, back to 3 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 41 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.79%
avg views ÷ 7,445 subscribers
Avg views / post
431
37 posts measured
Reaction rate
3.43%
reactions ÷ views · ER floor
Posts in window
37
of 112 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 15 November 2026
Posts held112 (3 August 2026 – 15 November 2026)
Views total15,936
Reactions total547
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 12:14 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
≈6,600
Videos
≈4,810
Links
≈3,880

Lifetime counters from Telegram’s own channel header, read 15 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
2h 23m
Average length
1m 51s

Measured directly from 77 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

1,573 reactions across 112 posts, in 33 distinct kinds. The most used accounts for 21.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤33121.0%
👍22114.0%
💯16110.2%
🔥1479.35%
🤬1439.09%
🙏1237.82%
🏆714.51%
⚡634.01%
😡523.31%
🙈462.92%
😈311.97%
🫡261.65%
👏251.59%
🕊201.27%
😱171.08%
🙉161.02%
🤯130.826%
😢100.636%
🤣90.572%
💔80.509%
13 further kinds402.54%

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 112 of the 112 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 1,573 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 112 most recent posts we hold, published 3 August 2026 to 15 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.

Recent posts

Telegram’s own ‘edited’ marker: 3 of 37 posts held from the last 30 days (8.11%) 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).

15 Nov 2026, 07:55 UTC98 views9 reactionsread 15 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥盧比奧:誰真正決定一個國家的長遠方向|絕不向「沒靈魂的全球主義官僚」與激進法官低頭|守護國家主權、制度權力、對抗「全球治理、國際法武器化」💢 11月13日晚上,國務卿馬可·盧比奧(#MarcoRubio)在華盛頓聯邦黨人學會「全國律師大會」上,發表第25屆芭芭拉·K·奧爾森紀念講座(Barbara K. Olson Memorial Lecture)演講。這是他在共和黨中期選舉失利後的首場公開演說,地點選在保守派法律界聚集的場合,內容聚焦「制度權力、國際法武器化、與國家主權」。 🔔中期選舉失利後,盧比奧沒有把焦點放在選票數字,而是把問題拉回更根本的層面:「誰真正決定一個國家的長期方向。」 🔔他指出,選票只能決定一屆的掌權者,卻無法自動改變「大學裡教什麼、律師如何思考、媒體如何定義『何謂正常』、非營利組織和企業如何塑造公共認知」❕ 🔔真正的權力散落在這些「制度場域」裡,左派過去幾十年來,比右派更清楚這點,所以他們不需要每…

❤3⚡1🏆1👍1💯1🫡1🙏1

14 Nov 2026, 13:36 UTC244 views20 reactionsread 15 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥誰有這本事「令鐵漢盧比奧在台上破防落淚」?—— 女兒在台上介紹他出場時:「我父親不是個獨裁者,而是家中的國防部長…. 他愛這國家,因為它給了我們從『共產主義陰影』下站起來的機會….」 🔹達妮艾拉·盧比奧(#DaniellaRubio)在聯邦主義學會全國律師大會上,以律師身份介紹父親出場。一段幾分鐘的感人演說,讓盧比奧當場破防「流下男兒淚」: 我站在這裡,心裡既驕傲又踏實。能為今年的Barbara K. Olson紀念講座介紹我的父親—— 美國第72任國務卿馬可·盧比奧(#MarcoRubio),是我的榮幸。 我是Daniella,維吉尼亞大學法學院三年級學生。從小到大,我聽父親講過無數次我們家的故事,那些故事從來不是抽象的政治口號,而是真實的血淚史。 🔹祖父親眼目睹共產主義如何摧毀古巴的家園與信仰。父母親離開古巴,不是為了享受福利,而是為了美國夢。 🔹父親當過宴會酒保、母親一邊當家庭主婦一邊在飯店打工,他們用雙手證明…

❤14🏆2👍1💯1🔥1🫡1

13 Nov 2026, 15:52 UTC743 views13 reactionsread 15 November 2026
Photo

🕊️追風者:別讓情緒把你拖垮 🔹一旦你還在拼命追逐金錢、追逐別人的目光、追逐那個叫做「成功」的東西—— 情緒就會一直煩擾你、折磨你、最終把你拖垮。 🔹可當你真正明白到—— 除了對「知識和生命」的好奇,其他一切都不必在意追逐的時候,情緒就會安靜下來,重新回到自己的掌控之中。 ~當你太在意追逐別人,卻忘了好好守住自己的目標。 ~當你太想變得富有,卻沒有讓自己的心靈強壯健康。 ~當你太執著於成功,卻忘了用愛、不帶任何期待地走完這段旅程。 🔹「改變你真正在乎的事!」 「真正有力量的人」能夠從「工作與知識」層面中尋到「快樂與被尊重」,活得安穩自在。 「心思散亂的人」卻總是從別人的言行中「乞討尊重與愛」,過得又傻又累。 🔔請好好與自己為伴,建立牢固的關係,讓你的靈魂自由飛翔。因為你「即使沒被看見,也能發光」。 ➰➰➰➰➰➰➰➰➰ 以馬

❤5💯4👍2🏆1🕊1

13 Nov 2026, 13:31 UTC648 views10 reactionsread 15 November 2026
Photo

人類進入了一個非常古怪的時代…. 到底我們應該為「電網崩潰」做準備,還是為快將臨近的聖誕做裝飾佈置? 到底我們應該購買聖誕禮物,還是購買大量瓶裝水和罐頭?! 我想,若市面上有「太陽能聖誕樹燈串」,相信一定會大賣!始終,人們還是希望「如常過節」,而不是被「嚇倒」。 要日子在恐懼中渡過? 還是在輕鬆中渡過? 你是自己的主人。 ➰➰➰➰➰➰➰➰➰ 以馬

❤5⚡1🎄1🏆1👍1💯1

13 Nov 2026, 12:40 UTC646 views11 reactionsread 15 November 2026
Photo

神奇UFO形狀雲朵:驚艷富士山 2026年11月,出現怪異的UFO形狀雲朵,懸浮在富士山之顛,奇景呈現,令人讚嘆! 這究竟是懸浮在空中的神秘UFO的「掩護雲」,還是純粹的一朵絕美莢狀雲? 當潮濕空氣流經山脈時,便往往會形成各種令人驚嘆的自然奇觀,彷彿帶人走進另一個世界。大自然總能帶給我們無盡的驚喜! Source 1|Source 2 ➰➰➰➰➰➰➰➰➰ (Uncle|以馬)

👍4💯2⚡1❤1❤‍🔥1🏆1🤯1

13 Nov 2026, 07:28 UTC278 views8 reactionsread 15 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

「自由意志—— 但你真的自由嗎?」 覺醒的生命:興奮與惶恐的糾纏 🔔你擁有自由意志:但你真的自由嗎?還是說,你只是在一組「早已被擺好的選項」中,進行所謂的「選擇」? 🔔最深層的自由,或許正始於這樣的追問: 不僅審視「我選擇了什麼」,更要問—— 究竟是誰,決定了這些「選項」可以出現在我面前。 🔔除了自己,沒人能真正掌控我們的內在狀態—— 即使此刻,這種狀態仍在很大程度上被「某種力量」所牽制,也沒任何人、任何事物能阻止我們,將它轉化為和諧、健康、安全、喜悅與豐盛。 🔔然而,若我們無法明智地選擇自己的思想、言語、行動、注意力所在,以及「允許什麼進入並影響自己」—— 那麼我們很可能正在「滿懷興奮地走向自我毀滅」。 🔹人們甚至會為自己的終點而感到興奮。 當人開始「覺醒」:本質上這是一件美好的事,儘管其中總是「交織著興奮與惶恐」。 🔔覺醒之後的反應,往往遵循一套相當預設的模式。那份惶恐,來自一連串無法迴避的疑問: ~這一切到底有…

❤3👍2🏆1💯1🕊1

12 Nov 2026, 15:18 UTC310 views14 reactionsread 15 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥 赫格塞斯7票險勝避過彈劾與民主黨「超級腐敗團夥」:11人集體戲劇性塞車看醫生缺席投票—— 「身有屎表癥」與「漫漫彈劾路」的預視 🔔2026年11月10日,眾議院以211票對204票通過程序性動議,將共和黨眾議員 #ThomasMassie 提出的8項「彈劾國防部長 #PeteHegseth (赫格塞斯)」決議,轉交目前「由共和黨主導」的司法委員會。 🔔如此一來,通過這項動議實質上在本屆國會剩餘的短時間內,等同「殺死」了這項彈劾。 🔔關鍵在於「11名民主黨人缺席投票」:只要當中的8人到場並投下「反對轉交」的票,動議就會被擊敗,彈劾案便會留在全院繼續推進。一旦被轉交至「共和黨控制」的委員會,這項彈劾在本屆國會(到2027年1月前)已被實質殺死。新國會民主黨若想再推,必須重新提出新的彈劾決議,無法直接沿用這次被轉交的提案。 🔔這關鍵7票,卻因11名民主黨人「戲劇性」集體缺席而告吹。這11人包括前議長 #NancyPelos…

👍5❤4🏆2💯2⚡1

11 Nov 2026, 13:24 UTC847 views16 reactionsread 14 November 2026
Photo

我們身處最壞的時代 但也是最好的時代…. 「這是最好的時代,也是最壞的時代;這是充滿智慧的時代,也是最愚蠢的時代;這是信仰的時代,也是懷疑的時代;這是光明的季節,或是黑暗的季節;這是希望的春天,也是絕望的冬天。」 ~查爾斯·狄更斯 Charles Dickens 《雙城記 - 1859》 (A Tale of Two Cities) 〰️〰️〰️〰️ 看!狄更斯筆下描繪的,不就是今天?! ➰➰➰➰➰➰➰➰➰ 以馬

💯7❤4👍3⚡1🏆1

11 Nov 2026, 13:02 UTC300 views14 reactionsread 14 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥震耳欲聾。一語道破 擊潰腐敗政客謊言—— 「面對國內的犯罪份子:不是你能不能,而是你想不想:國家若打不贏犯罪,就是與犯罪共謀!」 🔔有能力卻不作為的惡—— 🔔薩爾瓦多總統納伊布·布克萊 (Nayib Bukele): 「沒任何國家是無法擊潰犯罪份子的。如果一個國家未能痛擊犯罪,那是因為該國家與犯罪有關連。」 〰️〰️〰️〰️ 「要解決現存的不安全問題,唯一的途徑,就是動用武力—— 也就是以國家之力。正如我先前多次強調:任何國家的力量,都強於在其境內活動的犯罪集團。並不存在無法戰勝犯罪者的國家。如果一個國家未能擊潰犯罪勢力,那是因為該國—— 或其內部的某些部份—— 與犯罪份子有共謀。 一旦國家徹底擺脫與犯罪者的共謀關係,並動用國家武力,與罪犯展開對抗,就定能將其擊潰!」 〰️〰️〰️〰️ 鏗鏘有力,擲地有聲。 放諸四海皆準! 然而,世上具這種「底氣」,能說出這些話、而又真正能說到做到的領袖,你能數得出幾多個? 🔔我…

❤7👍4🏆1💯1🫡1

11 Nov 2026, 01:33 UTC293 views14 reactionsread 13 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥震撼:眾議院大換血—— 川普忠誠鐵杆支持者吉姆·喬丹取代約翰遜|這是最好的時代,也是最壞的時代!|最好的精鋼:在千錘百煉中鑄成 🔹這不是偶然的: 先是移除蘇西·威爾斯(Susie Wiles),換上史蒂芬·米勒(Stephen Miller)出任白宮幕僚長。緊接著,共和黨眾議院又以閉門秘密投票,讓吉姆·喬丹(Jim Jordan)擊敗史蒂夫·斯卡利斯(Steve Scalise),正式成為第120屆國會少數黨領袖。麥克·約翰遜(Mike Johnson)則主動卸下領導職務、不再尋求連任。 🔔四年任期,被清晰地「一開二」: 首兩年,重點放在國際佈局:把各板塊定位清楚,尤其拉美這個「自家後院」,先固定下來,停止「輸入混亂」。後兩年則是「收拾國內敵人和叛徒」的時刻—— 為迎接一個乾淨的2028選舉做準備: 🔹「成就這些事情所需要的,不是靠人多勢眾,而是忠誠的夥伴。要的是精兵不是嘍囉。」 「最好的時代與最壞的時代」彼此並沒有矛…

❤6⚡3👍3🏆1💯1

10 Nov 2026, 19:38 UTC231 views16 reactionsread 12 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥2026年中期選舉 預測結果更新—— 數字不說謊。數字會說話 🔔從圖表可見,共和黨選民2026與2022並沒多大變化,選民們並沒待在家中,他們也沒改變立場轉投民主黨。共和黨的投票數量與上次2022中期選舉幾乎在相同的高水平區間。 🔔不同的只是—— 民主黨「魔幻地」憑空出現了數百萬新選民。 🔔「左派媒體」先以誤導性民調和報導,造成煙幕,讓人以為公眾真的「大規模反對川普施政」的假象,以「鋪墊」他們的「造數」行為。 🔔他們指望公眾不發一言吞下那些「統計學奇蹟」。然而「投票率曲線」無論如何,絕不可能在一夜之間發生劇變,除非有某種體制機制在暗中人為操作、推波助瀾。 🔔當保守派的票數保持穩定(見圖),而「特定郵編區域」內卻憑空冒出數百萬張「恰到好處」的選票時—— 要求進行徹底的法證審計,便成了基本的生存手段。 🔔權力只尊重實力,「默默的順從」只會招致無止境的踐踏與壓迫:直到一天,你和家人的生命也給擺上。 🔹必須將所有選票數據…

👍7❤4⚡1🏆1💯1🔥1🙏1

10 Nov 2026, 11:06 UTC252 views17 reactionsread 12 November 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

💥川普開了個「大玩笑」 UFC老大[不玩] 白宮新聞秘書[遊戲]‼️ 親嘗「我的志願」:一天 川普以最簡單的方式,給人們一個輕鬆的週末。剛過去的週末,川普在Truth Social上「鄭重宣佈」:要把白宮新聞秘書一職,交給UFC總裁達納·懷特(Dana White),還盛讚這位「暴力戰士」夠狠,順便點名格鬥選手們來當助理,「專門對付那些瘋狂左派」。 全網瞬間炸開,媒體追問、粉絲起哄,達納本人也「配合」發了一張自己站在白宮講台前的照片,配文「下一章開始」。 🔹隔天,川普笑著澄清:「我只是在開玩笑。」 🔹可玩笑開完了,人真的來了。 週一白宮記者會上,川普把懷特拉到講台前,這位光頭格鬥圈老大一開口就笑:「其實我一直都想試試這個的。誰先問問題?」像小朋友扮消防員模擬衝入火場…. 現場記者都愣了一秒。畢竟平常面對的,都是西裝筆挺、字斟句酌的發言人,這次站出來的,卻是掌控每場賽事高效有序的UFC老大。 🔹懷特說自己「零政治野心」…

❤7😁4👍2👏2🏆1💯1

Showing the 12 most recent of 112 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 · 24,077
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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“德傳媒官方新聞頻道” (@moralmedia), 7,445 subscribers as measured 12 November 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.