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Channel

家庭疗愈频道

@jiatingliaoyupindao

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,602subscribers

-9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001724179719
TypeChannel
Username@jiatingliaoyupindao
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/jiatingliaoyupindao

Growth

2,6022,6122,6077 August 2026 — 2,611 subscribers7 August 2026 — 2,612 subscribers11 August 2026 — 2,609 subscribers14 August 2026 — 2,605 subscribers17 August 2026 — 2,602 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net -9. 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 2,601–2,614 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 16:152,602-3
14 Aug 2026, 01:282,605-4
11 Aug 2026, 03:112,609-3
7 Aug 2026, 18:512,612+1
7 Aug 2026, 05:462,611first reading

Engagement

14 posts held, back to 22 June 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 8 March 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
12m 51s
Average length
1m 50s

Measured directly from 7 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

67 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 79.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5379.1%
👍1014.9%
🔥45.97%

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 14 of the 14 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 67reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 22 June 2025 to 8 March 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

8 Mar 2026, 14:08 UTC≈1,840 views1 reactionsread 7 August 2026
Forwarded from @m16mkIIVideo

參議員 Ron Johnson 爆炸性揭露, 聯邦衛生機構明知疫苗風險卻故意隱瞞 美國聯邦參議員 Ron Johnson 近日公開指控, 聯邦衛生官員明知新冠疫苗存在明顯的安全風險訊號, 卻選擇隱瞞真相, 不向公眾與醫生發出任何警告. 他語氣嚴厲地表示, “他們承認心肌炎等風險訊號確實存在, 但故意隱瞞這些訊號, 既沒有警告公眾, 也沒有通知醫生.” Ron Johnson 並直接引用美國疫苗不良事件通報系統(VAERS)的數據: “VAERS 目前已收到 38,742 例與疫苗相關的死亡報告, 其中 9,252 例死亡發生在接種當天, 或接種後一至兩天內.” 他進一步指出, 聯邦機構最初大力推廣 VAERS 作為可靠的安全監測工具, 但當數據顯示出”他們不願意看到的結果”時, 就開始刻意貶低這套系統的可信度. Ron Johnson 嚴正表示: “這個系統已經被徹底腐化.” 他強調, 這已不再是個人意見、解釋

👍1

Signed deu iwona

8 Mar 2026, 14:03 UTC≈1,340 views5 reactionsread 7 August 2026
Video

Video, posted without a caption

5

Signed deu iwona

8 Mar 2026, 11:21 UTC≈1,280 views0 reactionsread 7 August 2026
Forwarded from @ruldophwest17Video

1/23/26 前美国疾病控制与预防中心主任说得没错——新冠病毒mRNA“疫苗”并非真正的疫苗。 它们是合成基因转移平台,会劫持人体重要器官,使其大量产生致命的非人体蛋白质。 【西行小宝】 Mim Chen报道 https://x.com/NicHulscher/status/2014571208444965308 关注转推西行小宝2.0X账号: https://twitter.com/usa912152217 关注西行小宝频道获取最新资讯: https://t.me/ruldophwest17

Signed deu iwona

1 Dec 2025, 23:46 UTC≈3,860 views14 reactionsread 7 August 2026

倪海厦汉唐中医方剂讲解|鼻渊丸(鼻塞不通,流清涕) HT-39 鼻渊丸(鼻塞不通,流清涕) 大家好,这节课开始讲汉唐39号鼻渊丸 治疗这个鼻塞不通,流清涕,什幺叫鼻渊? 在内经里早就有此描述,称为是“鼻渊者,浊气下不止也。”就是经常的鼻涕向外出而不止。特别一些小孩子,最容易有 这样一些疾病,经常使用抗生素之后,很容易出现这个情况。鼻渊实际上也称为是脑漏,就是其汁经常向外去漏出来,鼻病的问题,我们先看原文: 鼻病问题是目前美国最为普遍的病, 关于这个鼻病的问题,它不但是美国最普遍的病症,现在中国也步入到其后,也是一个普遍性疾病。 我们可以做一下考察,特别是城市中学校里面,城市中的孩子,到初中部看看,得鼻炎的人特别多,为什么?不言而喻,都是很普遍的病症。 尤其季节一变换,则许多人打喷嚏、流鼻水、鼻痒、流眼泪等症状相继出现,几乎人人都被诊断为过敏,为了寻找过敏原,打了上百针,也不见得知道,有时就算知道了,是对花粉或尘土或猫狗毛等

14

Signed deu iwona

1 Dec 2025, 23:36 UTC≈2,620 views5 reactionsread 7 August 2026

倪海厦汉唐中医方剂讲解|乌梅丸(各种寄生虫,蛔虫) HT-40 乌梅丸(各种寄生虫,蛔虫) 汉唐四十号,乌梅丸: 是治各种寄生虫蛔虫的,这一个方剂,是中医沿用了近两千年的打虫药,此剂出自于伤寒论里面在厥阴篇,现在会用这方子的人很少了,乌梅丸可治很多种病,因为它是从厥阴论治的,它也是寒热药同时用,辛酸药同时用,乌梅丸它里面方剂的解释很多人不会解,甚至乱解,包括一些有名的,解释这 个乌梅丸都是乱解一通,偏偏不知道为什幺里面用这样的药,为什幺要寒热夹杂,为什幺要用辛酸并用。而其它的方子用这个理的很少。 这是中医延用了近2000年的打虫药,一般中医只知用此丸来驱虫,很少人知道其真正功能所在。历代名医也并无太多的医案记载, 为什幺? 研究伤寒的人都知道,其厥阴病篇它属于一个无头案,好多人研究到厥阴这一篇后就研究不出来了,认为里面有错解,丢失的东西太多,里面的内容与厥阴病文不对体等等。一旦研究厥阴这地方就无从研究了,就认为它是一个

5

Signed deu iwona

30 Nov 2025, 22:24 UTC≈1,010 views1 reactionsread 7 August 2026
Forwarded from @HkGreatAwakeningVideo

🟢 20251030 #小羅伯特甘迺迪 :「 #醫生 是被支付去 #接種疫苗 的,而不是去評估的。」 「他們被迫追隨金錢,而不是科學。」 「那不是醫學,那是強迫,這是不道德的。」 「醫療決策應該只基於一件事:患者的福祉。絕不能基於經濟獎勵或政府命令。」 #RfkJr : " #Doctor s are being paid to #vaccinate , not to evaluate." "They're pressured to follow the money, not the science." "That's not medicine. That's coercion. It's immoral." "Medical decisions should be made based upon one thing, and one thing only: the well-being of the patie

1

Signed deu iwona

30 Nov 2025, 22:21 UTC890 views4 reactionsread 7 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

最新研究:對「#mRNA加強劑」接種在健康年輕人口48小時內的身體反應|「立即」造成生物損害 即使「#沒症狀反應者」:mRNA加強劑也引發 #免疫抑制、#全身性發炎、#凝血異常 一項最新研究發現:在「健康的」20-30歲組群人口,接種加強劑後的48小時,身體產生的變化: ~#D二聚體 激增→危險的 #凝血激活 ~#淋巴球 崩潰→免疫抑制 ~#CRP 激增→全身炎症 這對於「輕微反應」的概念,提出了挑戰——表明即使在「沒有明顯症狀 (以為逃過一劫)」的人,「mRNA 加強劑」也引發對「免疫系統、#發炎、和 #凝血」,造成隱藏(縱使不即時爆發)但危險而長期的破壞。 〰️〰️〰️〰️ Dr. #NicolasHulscher MPH #尼古拉斯·胡爾舍爾 麥卡洛基金會 #流行病學家 這些健康的年輕人,年齡在20到30歲之間。研究員給他們注射了「第三針 #輝瑞加強劑」。 這是 #mRNA,研究員在注射前檢測了他們的血液,並在

4

Signed deu iwona

30 Nov 2025, 22:14 UTC968 views3 reactionsread 7 August 2026
Forwarded from @EarthJusticeLeague_DataLibraryPhoto

🔔#韓國 研究團隊一項具里程碑意義的最新研究:揭示令人信服的證據表明—— 「所有 #COVID疫苗」都與 #癌症 風險顯著增加有關 韓國研究團隊發表在《生物標記物研究》雜誌上。研究採用了涵蓋「#首爾 一半人口」的國民保險資料庫的數據,研究結果揭示了令人信服的證據表明「所有COVID疫苗都與癌症風險顯著增加有關」—— COVID疫苗與「#整體癌症風險」增加27%有關。 這項「同儕審查研究」在韓國強大的醫療體系下進行,分析了數百萬 #已接種疫苗 人群,在12個月內的健康狀況,研究範圍涵蓋數百萬人口。 研究涵蓋所有主要的COVID疫苗類型的接種者: ~基於 #mRNA疫苗,如 #輝瑞 #BioNTech、#Moderna ~基於 #病毒載體疫苗,如 #強生、#阿斯特捷利康 ~所有疫苗類型的「癌症病發率」均有所增加,接種疫苗後一年內新診斷病例數顯著增加 ~受影響的 #惡性腫瘤 範圍廣泛,發病速度加快 ~#SARSCoV2 #

3

Signed deu iwona

7 Aug 2025, 08:59 UTC≈3,810 views9 reactionsread 7 August 2026
Forwarded from @ruldophwest17Video

8/6 疫苗學家 Geert Vanden Bossche 博士: 使用無法阻斷傳播的疫苗,是有誘發自體免疫反應的風險,尤其對兒童而言更是如此。這也是為什麼我說,在戰場上(疫情中)絕對不可以使用這種疫苗。如果疫苗無法阻止病毒傳播,那就無法控制這場大流行。病毒將會逃逸,你無法贏得這場戰鬥,這是不可能的。換句話說,大規模接種這種疫苗,其結果恰恰相反,你反而是在製造讓更具傳染力的變異病毒得以繁殖的溫床。 從科學角度來說,為兒童接種疫苗是完全沒有道理的。這是無法被正當化的,對兒童毫無額外好處,只有巨大的疑慮與風險。我們非常確定,風險效益比已經完全失衡,朝著錯誤方向發展。那麼,在這種已知情況下,你怎麼可能還會去做這樣的事?我已無言以對,這是犯罪。而你知道,作為科學家,我們不會輕易使用「犯罪」這個詞。 你現在聽到我說的話,正好是主流說法的反面。因為一旦你接種這種疫苗,你就不可能對群體免疫做出貢獻。我的建議非常明確:在任何情況下,你

8👍1

Signed deu iwona

7 Aug 2025, 08:57 UTC≈2,970 views3 reactionsread 7 August 2026
Forwarded from @m16mkII

一項首次記錄年輕健康成人於接受第三劑mRNA疫苗後48小時內, 同時出現早期免疫抑制和凝血活化的研究顯示, 即使無明顯症狀, mRNA疫苗加強劑仍會引發免疫抑制、系統性炎症和凝血異常等潛在危險的生理變化. https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2025.1615227/full 研究發現, 在免疫系統方面, 淋巴細胞數量 (Lymphocytes) 從2.34 ×10⁹/L顯著下降至1.91 ×10⁹/L (p < 0.0005), 干擾素-γ (IFN-γ) 水平也從54.7 ng/mL降至46.1 ng/mL (p < 0.05), 顯示免疫功能受到抑制. 在炎症反應方面, C反應蛋白 (CRP) 從6.1 mg/L上升至14.8 mg/L (p < 0.0001),

2🔥1

Signed deu iwona

2 Aug 2025, 03:57 UTC≈2,320 views4 reactionsread 7 August 2026
Forwarded from @m16mkII

她終於發現疫苗有問題並勇敢發聲, 為了不讓其他人繼續上當. 你呢? "我信任體制, 信任專家, 相信自己做的是對的. 而我為此付出了一切代價. 接種疫苗後, 我部分癱瘓了. 我的一隻眼睛因視神經損傷而多次失明. 我活在一個被血管炎從內部灼燒的身體裡, 已經病了太久, 他們(醫生)已經不再試圖解釋(病情). 我的心跳現在像密碼一樣異常, 無人能破解, 而他們至今仍不知道原因. 我是那種醫生盯著我, 就像盯著幽靈一樣的病人. 他們說我是"醫學獨角獸". 這暗指: "我們不知道如何修復我們造成的傷害🙄." 謝天謝地, 我掌控了局面, 現在正在自然康復. 但我記得(打疫苗前)的我...以及他們從我身上奪走了什麼. 這不僅僅是一次不良事件. 這是一場竊盜, 盜竊健康、盜竊時間、盜竊正常、盜竊我自己. 然而, 這個世界卻在操縱我們, 讓我們沉默, 稱我們為稀有、可有可無、統計噪音. 不, 我們不是你們利潤報告中的註腳. 我們是人. 我

2👍2

Signed deu iwona

31 Jul 2025, 21:17 UTC≈1,960 views4 reactionsread 7 August 2026
Forwarded from @JESUSLOVEYOUANDME777Photo

https://www.facebook.com/photo/?fbid=1104748165051787&set=a.438481058345171 💉💉😱💊💊 大马红点新闻网 目前不建议停止接种👈⛔️🈲🔔❌ 新闻链接:https://reddot.my/96134/ 一项由土耳其科学家主导的最新研究发现,接种辉瑞-BioNTech新冠疫苗后,部分人可能出现角膜内皮细胞减少及角膜厚度增加的情况,若长期变化持续,或对视力造成潜在影响。该研究已发表在国际期刊《眼科流行病学》(Ophthalmic Epidemiology)。 研究结果一览 研究团队追踪了64名接种者(共128只眼),在接种前与完成两剂疫苗后75天分别测量角膜参数,结果显示: 角膜厚度:从平均528微米增至542微米(↑约2%) 内皮细胞密度:每平方毫米减少219个(从2597降至2378,↓约8%) 六边形健康细胞比例:从50%降至48%,细胞形态更加不规则

🔥31

Signed deu iwona

Showing the 12 most recent of 14 posts we hold for @jiatingliaoyupindao. 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 — 927,328 of 1,481,306entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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

“家庭疗愈频道” (@jiatingliaoyupindao), 2,602 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/jiatingliaoyupindao.

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.