Channel
@SGCovidChineseInfo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
1,693subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001223085474 |
|---|---|
| Type | Channel |
| Username | @SGCovidChineseInfo |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/SGCovidChineseInfo |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 12:18 | 1,693 | +1 |
| 4 Sept 2026, 09:19 | 1,692 | -2 |
| 1 Sept 2026, 01:43 | 1,694 | +1 |
| 28 Aug 2026, 16:43 | 1,693 | -2 |
| 25 Aug 2026, 19:38 | 1,695 | +3 |
| 22 Aug 2026, 17:48 | 1,692 | +2 |
| 19 Aug 2026, 16:22 | 1,690 | -5 |
| 16 Aug 2026, 19:24 | 1,695 | -2 |
| 10 Aug 2026, 17:57 | 1,697 | +1 |
| 7 Aug 2026, 07:40 | 1,696 | no change |
| 7 Aug 2026, 01:16 | 1,696 | first reading |
20 posts held, back to 13 May 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 2 pages of 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 20 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 14 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.
21 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 42.9% | |
| 🤬 | 5 | 23.8% | |
| 👍 | 3 | 14.3% | |
| 🖕 | 3 | 14.3% | |
| ✍ | 1 | 4.76% |
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 12 of the 20 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 13 May 2026 to 27 July 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.
如需举报新加坡境内任何类型的诈骗，包括短信诈骗等，请下载 ScamShield 应用程序 https://www.scamshield.gov.sg/ 通过 ScamShield 应用程序举报诈骗信息： 1. 打开 ScamShield 应用程序。 2. 选择举报或分享诈骗经历的选项。 3. 选择相关的诈骗类别或说明您收到了诈骗信息。 4. 按照提示提供诈骗信息的详细信息。 5. 根据提示上传信息截图。 6. 提交举报。
2026年，俄克拉荷马州州长对着镜头举起一杯生牛奶，抿了一口，告诉全州人民，这味道就像自由。 他刚刚签署了一项法律，将农场直接向公众出售未经巴氏消毒的牛奶数量上限从每月100加仑提高到1500加仑，并允许农场合法地宣传这种牛奶。俄克拉荷马州是近期一系列将生牛奶重新带回市场、使其重见天日的州之一。而每当有州这样做时，都会出现同样的警告：生牛奶被禁是有原因的，你们难道忘了原因吗？ 因此，我们有必要记住它被禁的真正原因。真正的原因早已被悄悄遗忘。 在19世纪中期美国蓬勃发展的城市里，牛奶成了真正的“杀手”，而原因却与一个产业有关。生产威士忌的酿酒厂会产生一种被称为泔水的又热又酸的废料，有人发现可以用这种废料喂给挤在蒸馏器旁边牛棚里的奶牛。这些动物生活在污秽不堪的环境中，疾病缠身，奄奄一息，产出的牛奶稀薄而呈蓝色，品质极差，甚至需要掺入白垩、石膏和糖蜜才能勉强冒充牛奶。这种劣质牛奶流入城市，导致成千上万的婴儿死亡。正是这起丑闻促成…
❤4
“两项大规模人群研究刚刚出炉，一项在意大利，一项在韩国。两项研究共涉及超过870万人。他们对比了接种疫苗者和未接种疫苗者的情况。 接种过新冠疫苗的人罹患7种主要癌症的风险增加，其中一些癌症与我们在新数据中看到的癌症相同。 我们现在掌握了所有相关的机制研究——超过100项研究。这些研究表明，这些mRNA注射可能通过17种不同的机制诱发癌症。以上数据来自美国国家癌症研究所的官方政府数据。 我们看到，从2021年到2023年，新增癌症病例激增6.4%。50岁以下人群中，结直肠癌病例增加了19%。脑瘤病例增加了19%。小肠癌病例也增加了。这已是无可辩驳的事实。” “哇。我的意思是，这太疯狂了，但竟然没有人因此入狱。” 新冠疫苗将成为历史上最严重的致癌事件之一。美国疾病控制与预防中心（CDC）的死亡率数据显示，自2021年以来，美国因癌症导致的超额死亡人数超过13.8万人。 （在线翻译）
❤1
“到目前为止，我们已经找到了14.6万名儿童。14.6万名儿童。我们还有近30万名儿童失踪。我们正在调查一些报告，其中一些儿童声称他们被强奸了600到700次。” “我不在乎你是谁……自由派、独立人士、共和党人，如果你不能支持执法部门找到这些孩子，那你算什么？！” ——国土安全部部长马克韦恩·穆林 在线翻译
苏查里特·巴克迪（Sucharit Bhakdi），前美因茨大学教授，曾任该校医学微生物学与卫生研究所所长，他阐述了“深层政府”、媒体的角色以及新冠疫情是反人类的最大罪行。 （在线翻译）
❤2
世界知名肿瘤学家瓦菲克·埃尔-德里博士在美国参议院作证时表示：新冠病毒mRNA疫苗与癌症机制有关。 2026年6月3日 在线翻译
关于“涡轮增压癌症”的更多真相被记录在案。感谢所有挺身而出的医生们。 英国顶尖癌症专家分享多位此前病情稳定的癌症患者在接受mRNA加强针后复发的临床经验…… 这是英国肿瘤学教授安格斯·达格利什博士在美国出席听证会作证，该听证会旨在审查新冠注射剂的安全性。证词于2026年6月4日提交给参议员罗恩·约翰逊。 他分享了自己观察到的临床案例：一些患者多年来病情稳定并处于癌症缓解期，但在接受新冠mRNA注射后几周内突然复发。 引述： “我看到六名黑色素瘤患者在六周内复发……他们的病情已经稳定了3到18年，共同点是他们都接受过加强疫苗注射。” 在线翻译
“如果你每天都佩戴智能手表，那你一定要听听这个。” “这些智能手表直接贴在你的皮肤上，整天向你的身体发射电磁波和无线电频率。” “这些都是2B级致癌物，而且这种近距离接触会增加你接触的强度。” （在线翻译）
✍1
克林哈特博士指出，Wi-Fi 的工作频率会破坏血脑屏障，导致毒素通过，从而损害大脑（特别是松果体）。 （在线翻译）
🤬2
比尔·盖茨的实验室合成黄油将于2027年上架超市。 这是全球主义者逐步淘汰农业计划的一部分！ 比尔叔叔又想“拯救”我们了，就像上次那场骗局般的疫情一样。如果他还能从中捞一笔，那就更好了。 他在“疫苗”上的投资回报率高达20倍。 安德鲁·布里根 在线翻译
🖕3
雀巢“圣培露”矿泉水中的氧化石墨烯 在线翻译
🤬1
当你最大的器官被塑料（聚酯材料）包裹时会发生什么？ 穿棉质或亚麻材质的衣服。 在线翻译
🤬1
Showing the 12 most recent of 20 posts we hold for @SGCovidChineseInfo. 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.
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.
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.
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.
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“🌴新加坡狮凤凰: 浴火重生SG” (@SGCovidChineseInfo), 1,693 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/SGCovidChineseInfo.
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.