https://x.com/childrenshd/status/2120655044097798353/video/1?a=AvGvphukHHndXkUhzRs&s=46
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Channel
@childrenshd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cross-platform identity · Cite this entry
52,345subscribers
-2,082 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001425836445 |
|---|---|
| Type | Channel |
| Username | @childrenshd |
| Created | 26 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/childrenshd |
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 00:59 | 52,345 | -46 |
| 10 Nov 2026, 02:50 | 52,391 | -27 |
| 8 Nov 2026, 16:35 | 52,418 | -36 |
| 7 Nov 2026, 07:49 | 52,454 | -23 |
| 6 Nov 2026, 10:10 | 52,477 | -24 |
| 5 Nov 2026, 10:27 | 52,501 | -30 |
| 4 Nov 2026, 10:16 | 52,531 | -23 |
| 3 Nov 2026, 11:50 | 52,554 | -3 |
| 2 Nov 2026, 14:06 | 52,557 | -12 |
| 1 Nov 2026, 13:26 | 52,569 | -19 |
| 31 Oct 2026, 11:15 | 52,588 | -15 |
| 30 Oct 2026, 13:36 | 52,603 | -18 |
| 29 Oct 2026, 15:55 | 52,621 | -23 |
| 28 Oct 2026, 15:57 | 52,644 | -17 |
| 27 Oct 2026, 18:10 | 52,661 | -5 |
| 26 Oct 2026, 16:40 | 52,666 | -16 |
| 25 Oct 2026, 13:36 | 52,682 | -21 |
| 24 Oct 2026, 10:00 | 52,703 | -19 |
| 23 Oct 2026, 07:11 | 52,722 | -22 |
| 22 Oct 2026, 06:19 | 52,744 | first reading |
76 posts held, back to 29 July 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 196 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 76 (29 July 2026 – 11 November 2026) |
| Views total | 132,582 |
| Reactions total | 3,727 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 23:56 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.
Measured directly from 44 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.
13,213 reactions across 76 posts, in 44 distinct kinds. The most used accounts for 19.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 2,532 | 19.2% | |
| 🤬 | 2,401 | 18.2% | |
| 🙏 | 2,361 | 17.9% | |
| 🔥 | 1,391 | 10.5% | |
| 👍 | 950 | 7.19% | |
| 👏 | 901 | 6.82% | |
| ❤ | 771 | 5.84% | |
| 😈 | 485 | 3.67% | |
| 🤮 | 300 | 2.27% | |
| 🤡 | 204 | 1.54% | |
| 😱 | 125 | 0.946% | |
| 😡 | 86 | 0.651% | |
| 👎 | 71 | 0.537% | |
| 🤯 | 70 | 0.53% | |
| 🖕 | 64 | 0.484% | |
| 😢 | 59 | 0.447% | |
| 👀 | 49 | 0.371% | |
| 💩 | 44 | 0.333% | |
| ⚡ | 40 | 0.303% | |
| 🫡 | 39 | 0.295% | |
| 24 further kinds | 270 | 2.04% |
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 76 of the 76 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 13,213 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 76 most recent posts we hold, published 29 July 2026 to 11 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.
Telegram’s own ‘edited’ marker: 0 of 22 posts held from the last 30 days (0%) 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).
https://x.com/childrenshd/status/2120655044097798353/video/1?a=AvGvphukHHndXkUhzRs&s=46
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Moderna’s experimental mRNA flu vaccine trial: • Showed only a 0.8% absolute risk reduction • Reported deaths among trial participants. • Purposely used an older flu vaccine as the comparison And Moderna and the FDA calls this safe and effective. This is the science you’re supposed to trust.
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Patients who research their symptoms, question medical recommendations, or disagree with their doctors are increasingly being labeled as having “health anxiety” or other psychological disorders. Clinical psychologist Dr. Roger McFillin warns that the medical establishment is turning legitimate patient skepticism into a psychiatric problem. Instead of addressing patients’ concerns, doctors are being encouraged to vi…
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Remember, you would lose custody of your child if you fed them any of these ingredients. But it's totally ok for your pediatrician to inject them into your child.
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DELAY CORD CLAMPING⚠️ “An immediately cord clamp baby is deprived of about 8 million stem cells.” “I can look at a newborn and I can tell you straight away whether that baby had its cord clamped or not.” “The non-cord-clamped babies, they’re almost purple. They’re so bright red because they’ve got all their hemoglobin and all their stem cells and all that birthright given to them that regular babies that we’ve com…
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Would you want to live in a data center community? Follow CHD for the stories mainstream media won’t touch.
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“Another death one day after vaccine.” That was the subject line of a February 2021 email sent by a New York City deputy chief medical examiner. Nearly 2,000 pages of newly obtained emails reveal what medical examiners were discussing behind closed doors as reports of deaths and heart injuries following COVID-19 vaccination emerged. In one exchange, Connecticut's chief medical examiner described the death of a pre…
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BREAKING: A 7-month-old baby in New York has reportedly died after contracting measles, and the media is emphasizing that he was unvaccinated. But here's some important context: The MMR vaccine isn't given until 12–15 months of age. No child should die from measles. Vitamin A is an important part of measles treatment and can help reduce complications, yet we're hearing very little about the medical care this baby r…
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Nonverbal children with autism began speaking after Dr. Sabine Hazan ‘s team used a method to increase beneficial gut bacteria. “You know, it's amazing when you see a kid nonverbal, and then you change the bifidobacteria and the bifidobacteria increases, and that kid becomes verbal.” Hazan calls the process “refloralization,” which involves manipulating the gut microbiome to increase beneficial bacteria. “If I inc…
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Dr. Sabine Hazan discovered that children with autism had significantly lower levels of Bifidobacteria, a beneficial gut bacterium, compared to neurotypical children, including their own siblings. That discovery led her to experiment with transferring the gut microbiome of a healthy sibling to a child with autism. The result? The childs autism improved! Hazan's research highlights the connection between the gut mi…
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The type of lightbulbs you use in your home impact your health more than you think 💡 Dr. Andrew Huberman explains that traditional incandescent bulbs emit a broad spectrum of light, including red and infrared wavelengths that can penetrate the body and support mitochondrial function. Mitochondria are responsible for producing the energy our cells need to function. But many modern LED lights emit little to no infra…
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For optimal health: “You want bright days, meaning sunlight in the morning, bright days, as best you can… and dark nights.” Dr. Huberman explains that morning sunlight helps regulate cortisol, which should be highest in the morning and gradually decline throughout the day. At night, darkness allows our bodies to produce melatonin, the hormone that helps us fall asleep. But artificial light can interfere with that p…
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Showing the 12 most recent of 76 posts we hold for @childrenshd. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 78 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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.
Named by 24 registered channels — 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.
@childrenshd named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 24 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 57 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | Children's Health Defense |
|---|---|
| Description | American anti-vaccination group founded by Robert F. Kennedy Jr |
| X / Twitter | @ChildrensHD |
| YouTube | UCZcW0uVZDTaEXfBS-JV-zUg |
| Official site | https://childrenshealthdefense.org |
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.
“Children’s Health Defense” (@childrenshd), 52,345 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/childrenshd.
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.