Channel
@RonJohnson
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
68subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001697997453 |
|---|---|
| Type | Channel |
| Username | @RonJohnson |
| Description | Proud to serve Wisconsin in the U.S. Senate. |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/RonJohnson |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 00:45 | 68 | no change |
| 6 Aug 2026, 11:03 | 68 | first reading |
17 posts held, back to 10 September 2025 — 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 7 August 2026 |
|---|---|
| Posts held | 17 (10 September 2025 – 7 August 2026) |
| Views total | 9 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 00:45 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 10 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 13 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.
66 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 31.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 21 | 31.8% | |
| ❤ | 18 | 27.3% | |
| 🙏 | 12 | 18.2% | |
| 👍 | 7 | 10.6% | |
| 😈 | 7 | 10.6% | |
| 👏 | 1 | 1.52% |
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 14 of the 17 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 66reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 10 September 2025 to 7 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.
Dr. Fauci received a sweeping pardon but may still be vulnerable to state charges. But the first step of accountability is exposure of truth — and my investigation has only just begun. @RonJohnson
Rasmussen Reports found that 24% of Americans believe they know someone who died from a COVID injection. The FDA was aware of these deaths and adverse events, yet they covered them up and continued to recommend COVID shots. Why won't the legacy media cover this major scandal? @RonJohnson
😈4🙏1
@AaronSiri’s testimony before the FDA vaccine advisory committee (VRBPAC) is well worth watching. VRBPAC completely ignored it, of course. The COVID cartel’s cover-up continues… @RonJohnson
🔥3🙏1
Thank you, Major Garrett, for being one of the first voices in the legacy media willing to discuss this massive government scandal. The numbers alone explain why people are demanding answers. Reported deaths per million doses in 2023: - COVID injection: 25.5 - Flu vaccine: 0.46 That’s a 55x higher reported death rate for the COVID injection. @RonJohnson
🙏1
Thank you Maria Bartiromo for covering what the legacy media refuses to: the largest government scandal in my lifetime. FDA officials were fully aware of COVID injection injuries — including sudden cardiac death, pulmonary infarction, stroke, and Bell’s palsy — but kept them hidden. The public had a Right to Know but was denied informed consent. @RonJohnson
👍3🙏1
This is the biggest government scandal of my lifetime, and the legacy media refuses to cover it. The FDA knew that COVID injections were causing severe adverse events, including sudden cardiac death, pulmonary infarction, and Bell’s palsy. Americans had the Right to Know, and those affected deserve justice. @RonJohnson
🔥3🙏1
How many people died or are permanently disabled because the FDA ignored safety signals from the COVID injection? We don’t know — because the mainstream media won’t cover it. @RonJohnson
🔥5🙏1
Thank you, Kayleigh McEnany, for reporting on this blockbuster revelation that Americans deserve to know. U.S. federal health officials intentionally used a flawed reporting analysis system that hid serious adverse events from the COVID shot. I will continue my investigation into this and work to bring the truth to the American people. @RonJohnson
😈3🙏1
Americans have lost trust in federal health agencies for a good reason — they have not been honest with the public. I applaud @RobertFKennedyJr for his commitment to radical transparency and bringing the truth to the American people. @RonJohnson
👍4🙏1
In March 2021, the FDA was warned that its VAERS analysis algorithm could hide or mask safety signals from the COVID shots. Rather than alerting the public, they covered it up. This should be all over the news — it’s a blockbuster revelation. It’s a grotesque abuse of power. People died and were permanently disabled because they were denied fully informed consent on the COVID injections. @RonJohnson
❤1🙏1
CONTINUE READING HERE 📲 https://www.ronjohnson.senate.gov/services/files/4DF802C8-DE9B-46C7-B470-37DD85569A76 @RonJohnson
Today, I released a report showing that Biden health officials knew that safety signals for COVID-19 injection injuries were being hidden by their VAERS analytic algorithm. They were shown an updated algorithm that signaled serious adverse events, but they refused to use it. Their cover-up jeopardized the health of millions of Americans. Read my interim report and see the records here: @RonJohnson
🔥3👏1🙏1
Showing the 12 most recent of 17 posts we hold for @RonJohnson. 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.
Citation-graph rank — 112,195 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 6 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Senator Ron Johnson” (@RonJohnson), 68 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/RonJohnson.
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.