Channel
@live_free_af
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
3subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001548081433 |
|---|---|
| Type | Channel |
| Username | @live_free_af |
| Description | Ancestral health, Libertarianism, Lifting, Carnivore, Crypto, Pro-Life, Anti-Vegan, Conspiracy enthusiast. |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/live_free_af |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 12:03 | 3 | no change |
| 7 Aug 2026, 09:04 | 3 | first reading |
20 posts held, back to 28 February 2023 — 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 pageof 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 5 July 2024. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 9 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.
The owner of this channel has been inactive for the last 11 months. If they remain inactive for the next 28 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
Best vax meme ever Please share my channel 🙏🏼 Still shadowbanned on IG+Twitter Copy this link and text to a couple free-thinking friends: https://t.me/lukestorey
🚨 New Peer-Reviewed Study Finds mRNA-1273 Vaccine-Associated Myocardial Injury is ‘More Common Than Previously Thought’ Among Boosted Hospital Employees: - 5.1% Suffered Elevated Cardiac Troponin Levels - 2.8% Suffered Vaccine-Associated Myocardial Injury https://onlinelibrary.wiley.com/doi/10.1002/ejhf.2978 https://twitter.com/thechiefnerd/status/1684196527667904514 @ChiefNerd
Proof.
Ass clowns lol
This is not normal. I worked in fashion for 17 years and met maybe 3 transgender people. I mean good for them (sincerely) but this overload of propaganda is truly insane
Seems to be a trend.
UK Government confirms 1 in every 310 people died within 48 days of receiving the first COVID Vaccine Booster https://expose-news.com/2023/03/21/1-in-310-boostered-dead-within-48-days/
🚨 Dr. Sabine Hazan on the Alarming Damage Observed in GI Bacteria Post-Vaccination "Their bifidobacteria dropped to like zero—from like a million to like zero...There was a persistence in the damage, not only 90 days but 6-9 months later." Clip: https://rumble.com/v2ehywu--dr.-sabine-hazan-on-the-alarming-damage-observed-in-gi-bacteria-post-vacci.html Full Video (Premiers 7:30pm EST): bit.ly/40cLlEv https://twitt…
Gotta love it! I’m a femininist
Myocarditis diagnoses spiked in the military by 130.5% in 2021, according to newly released whistleblower data from the Defense Medical Epidemiology Database (DMED). https://www.theepochtimes.com/myocarditis-diagnoses-spiked-in-military-in-2021-new-data-show_5141340.html?utm_source=partner&utm_campaign=KanekoaTheGreat&src_src=partner&src_cmp=KanekoaTheGreat @KanekoaTheGreat
https://fluoridealert.org/news/report-linking-fluoride-to-lower-iq-in-children-made-public-after-cdc-hhs-tried-to-block-it/
Showing the 12 most recent of 20 posts we hold for @live_free_af. 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.
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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Modern Exodus” (@live_free_af), 3 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/live_free_af.
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.