Channel
@johnblaidtts
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,389subscribers
-8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001276918422 |
|---|---|
| Type | Channel |
| Username | @johnblaidtts |
| Created | 31 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 3 times, most recently 1 September 2026 |
| On Telegram | t.me/johnblaidtts |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 10:56 | 1,389 | -1 |
| 23 Aug 2026, 09:34 | 1,390 | -3 |
| 19 Aug 2026, 13:37 | 1,393 | -1 |
| 16 Aug 2026, 21:48 | 1,394 | -2 |
| 10 Aug 2026, 07:35 | 1,396 | -2 |
| 7 Aug 2026, 14:41 | 1,398 | +1 |
| 7 Aug 2026, 01:16 | 1,397 | first reading |
16 posts held, back to 3 April 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 1 page 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 16 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
80 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 58.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 47 | 58.8% | |
| ❤ | 22 | 27.5% | |
| 🙏 | 5 | 6.25% | |
| 🔥 | 4 | 5.00% | |
| 🤔 | 1 | 1.25% | |
| 🤯 | 1 | 1.25% |
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 13 of the 16 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 3 April 2026 to 4 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.
Trillions in market value have vanished, free cash flow is collapsing even as revenues rise, companies are discovering that basic AI projects can quietly exceed their budgets by millions, and the financial relationships connecting the industry are starting to look less like a market and more like an elaborate circle. This video follows the money through Nvidia, Meta, Amazon, Tesla, SpaceX and Reddit to uncover what i…
I let the video speak for itself. https://www.bitchute.com/video/fwmmBBfCEpCq
👍3❤1
Regarding the latest news with Fauci, a statement by Sasha Latypova that I agree with: Here is my prediction - nothing will happen, beyond Rand Paul posturing and Fauci saying he can’t recall anything. Even if Fauci says something else, it doesn’t matter. No accountability, no justice for the victims and no change to how HHS is going to continue to lie to all of us while funding more of the same “fast-tracked” poiso…
👍3
I am very sorry to hear that Jon Rappoport has passed away, he helped me and so many others get to know the various medical frauds and was one of the best. He recorded a farewell message just days before he died, here it is for anyone that may have supported him. https://jonrappoport.substack.com/p/jons-prerecorded-farewell-message
❤13🙏4🔥1
Most people who say they follow "terrain medicine" still believe germs can turn on you. Dr. Marizelle Arce doesn't, and she has spent almost two decades in clinical practice proving the opposite. She started in conventional medical school, walked out, and built her work around microzymas, pleomorphism, and dark field microscopy. Her mother was an electron microscopist who questioned what she was seeing through the …
👍6❤3
Excellent talk with Marjorie Taylor Greene, it's always good to get an inside perspective of things even if you don't agree with everything.
Join us tonight at 7pm ET for the premiere of episode 237: Former Congress Member: What Is Happening Inside Trump's 'Cult' & MAGA with Marjorie Taylor Greene The most loyal MAGA member of Congress now believes loyalty to one man is the most dangerous thing happening in America. Marjorie Taylor Greene shares how Trump called her directly and said his friends would get hurt if the Epstein files were released. That ph…
👍1
Excellent and straight-to-the-point arguments from Alec Zeck against common false thinking when it comes to the question of whether or not there is evidence for the existence of "viruses". https://youtu.be/D_hbti-hVQ8
👍9
For anyone that may be interested in a recent overview of the scientific literature regarding seed oils that addresses many of the false claims "out there". https://www.tandfonline.com/doi/full/10.1080/10408398.2026.2657527
❤1👍1🤔1
A grocery shelf is no longer just displaying a price — it may be measuring you. As AI-driven pricing enters supermarkets, the question is no longer what milk costs, but what an algorithm believes you are willing to pay. https://www.youtube.com/watch?v=UOXj-8IxRCE
👍2🙏1
If anyone may be interested in this kind of work, please support it.
It's live. ‘Reverse Engineering the Afterlife’ is now open for pre-order. 200,000+ words. 14 years of research since Book 1. Cross-tradition, cross-discipline, and uncompromising. This book doesn't ask what various traditions believe about death—it asks what underlying structure explains why those beliefs exist at all. Near-death research. Reincarnation studies. Vedanta, Gnosticism, Neoplatonism. Consciousness sc…
👍1
Showing the 12 most recent of 16 posts we hold for @johnblaidtts. 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.
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.
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 26 August 2026 — this entry's latest reading, not the date you are reading this.
“The Truth Seeker” (@johnblaidtts), 1,389 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/johnblaidtts.
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.