Channel
@SHOETUBE
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
22subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001315062160 |
|---|---|
| Type | Channel |
| Username | @SHOETUBE |
| Description | CLOSE YOUR EYES TO SEE THROUGH THE ILLUSION! ALL OF THE LORD GOD'S BLESSINGS ON ALL OF HIS PEOPLE INDEED...AMEN |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/SHOETUBE |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 13:32 | 22 | no change |
| 8 Aug 2026, 00:30 | 22 | first reading |
20 posts held, back to 11 August 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 pageof 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 August 2026 |
|---|---|
| Posts held | 20 (11 August 2026 – 11 August 2026) |
| Views total | 39 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 13:32 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.
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 6 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.
https://www.msn.com/en-us/health/medical/33-year-old-man-died-of-heart-attack-after-years-of-using-performance-enhancing-drugs-he-was-given-in-the-gym-as-a-teen/ar-AA29Lz5K?ocid=msedgntp&pc=HCTS&cvid=6a7a5b0f20174cde9e51f43f903c6e67&ei=25
Photo, posted without a caption
https://x.com/sgtnewsnetwork/status/2087014367850312115
It's a 3 vote miracle...lol
President Biden: 9.26.21 “This is a pandemic of the unvaccinated— we still have 70+ million people who refuse to get vaccinated—this is totally unacceptable.” Today, we learned they successfully murdered countless unborn babies. Now you know why they pushed so hard. https://rumble.com/v7e04i6-president-biden-9.26.21-this-is-a-pandemic-of-the-unvaccinated-this-is-tota.html 📱 ReTWEET
Effective and Deadly advice from the dumbest human in the room. #HookLineSinker
Barack Obama's patriot purge in the U.S. government that created a secret deep state stay behind army. This is the origin of the Obama-era deep state that's actively undermining Trump, his administration, and America itself. Even though this has deep intelligence ties, this is not the CIA, the FBI, or the NSA, this is another piece of the operation, this is the SES. The Senior Executive Service, created under Carte…
Ford McConnells sister Darcy and Hillary did that back in the late 70's.
The FAKE "authority" does what? The Bio-WEAPONS manufacturers STILL manufacturing baby. Men who dress up like girls literally created these "vaccines."
Former NFL MVP Cam Newton confirms Aaron Rodgers was RIGHT: players, coaches, and even executives bought FAKE vax passes to dodge the NFL’s COVID rules. “If we're being honest, going back to 2020, there were multiple players, coaches, and executives that fraudulently got their COVID shot. Yes, I said it.” “I knew multiple people in that locker room didn't get the COVID shot. But they got a card that they paid for.”…
Pfizer manufactures "peptides" synthetic amino acids to inject.
Kansas will be the The first of 5 states to go after Pfizer. Subscribe and share >> S E E | Secret History I found a hidden channel: "Banned Truth" check it out before it disappears!
Showing the 12 most recent of 20 posts we hold for @SHOETUBE. 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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“SHOETUBE” (@SHOETUBE), 22 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/SHOETUBE.
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.