Channel
@GregoryKBovino
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
3subscribers
+0 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003725851362 |
|---|---|
| Type | Channel |
| Username | @GregoryKBovino |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 2 times, most recently 3 September 2026 |
| On Telegram | t.me/GregoryKBovino |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 16:34 | 3 | no change |
| 26 Aug 2026, 08:00 | 3 | first reading |
17 posts held, back to 18 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 page 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 24 August 2026 |
|---|---|
| Posts held | 17 (18 August 2026 – 24 August 2026) |
| Views total | 23 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Aug 2026, 08:00 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 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.
Folks, never forget what we experienced every single day under Biden. The entire world poured in. Not just the usual suspects, but people from countries the State Department explicitly warns Americans not to visit because they are hotbeds of ISIS and other terrorist groups. You are told it is too dangerous for you to go there. Biden invited them here instead, with zero concern for your safety. Estimates put the tota…
Video, posted without a caption
I'm rather perplexed by this CBS video. They frame deporting a Cuban immigrant and others to the Congo as pure cruelty, stranded, suffering, missing family, in a place no one asked for. Yet this is the same network that spent years telling us diversity is our greatest strength. That people from places like the Congo enrich America with culture, energy, and perspective. That importing them is a moral and economic wi…
Video, posted without a caption
Folks, let’s talk about something that never quite makes it into the polite public conversation... You’ve heard me say it before, there is no such thing as cheap labor, right? What looks cheap on a construction site or in a restaurant kitchen is only cheap because someone else is quietly picking up the real tab. YOU AND ME! One of the biggest, least-discussed tabs is the cost of investigating the crimes that come …
Video, posted without a caption
Folks, this Cato guy @David_J_Bier is a perfect voter guide. Just do the exact opposite of whatever he recommends. He wants markets to self-regulate immigration with a presumption of openness and no real government veto. He obviously has not studied history. How did pure market self-regulation work out for the housing bubble in 2008? The difference is extremely important, folks. Housing bubbles eventually pop, a…
In Charlotte, while Border Patrol was actively conducting mass deportation operations, 66% of the illegal aliens they encountered already had serious criminal histories. Read that again. This isn’t a random sample from the border. This is what agents found when they went into the interior and started removing people. Two-thirds of the illegal aliens they came across during these operations already had serious crim…
Here’s the part the media won’t say out loud: You don’t actually have to deport every illegal alien yourself. You just have to make them believe you’re going to. That’s what those Border Patrol videos accomplished. They showed the world this time is different. Agents are in the cities. They’re making arrests. The rules changed. Result? 2.6 million people decided to leave on their own. Mass deportations create self-de…
Leading means taking risks alongside your team. 💪 When threats arise, it's essential to have your crew’s back, no matter the situation. Ever wondered how strong leadership looks in action? Watch the full video to see it in motion!
Thanks for highlighting @BorderHawkNews . This is a prime example of the sad fact that mass deportations are NOT happening @SecMullinDHS . How many more Americans need to suffer or die before we get serious?
Mike Howell gets it… The absolute worst outcome isn’t pure open borders. It’s amnesty wrapped in spicy tweets that make the base feel like something is happening whilst the actual machinery keeps running the same Obama era non-enforcement playbook. That’s not toughness. That’s psychological cover for failure. FAILURE FOLKS!!! Full spectrum immigration enforcement (the border, interior, worksite, and everything …
Showing the 12 most recent of 17 posts we hold for @GregoryKBovino. 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.
Named by 1 registered channel — 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.
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.
@GregoryKBovino named 5 handles 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.
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.
“Gregory K Bovino” (@GregoryKBovino), 3 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/GregoryKBovino.
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.