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Channel

CaliVaxChoice

@CaliVaxChoice

On this record: Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry

536subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001234390827
TypeChannel
Username@CaliVaxChoice
Created6 September 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/CaliVaxChoice

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

536537536.56 August 2026 — 537 subscribers6 August 2026 — 537 subscribers12 August 2026 — 536 subscribers6 August 202612 August 2026
3 measurements spanning 6 days, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 536–537 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:03536-1
6 Aug 2026, 18:19537no change
6 Aug 2026, 09:51537first reading

Engagement

20 posts held, back to 13 July 2026the 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 · 30 days
4.70%
avg views ÷ 536 subscribers
Avg views / post
25.2
19 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
19
of 20 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (13 July 20266 August 2026)
Views total479
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:19 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.

Recent posts

6 Aug 2026, 15:04 UTC4 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedom

States Exposing the Vaccine - SIDS Problem Watch my recent episode of "Advocacy Lifeline" on CHD TV about the states that are passing laws to investigate and shed light on a connection between Vaccines and Sudden Infant Death Syndrome (SIDS) and Sudden Unexplained Infant Death (SUID). Tragically, when a death is sudden, unexpected, and unexplained, vaccine records are often not included in the medical examiner or

5 Aug 2026, 14:28 UTC15 viewsread 6 August 2026
Forwarded from @drpalevskyPhoto

July's Newsletter from Dr Palevsky is here....packed with important news and topics from the past month......Read it Now! https://tinyurl.com/3hvapevd

5 Aug 2026, 14:27 UTC11 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedom

All MRNA Vaccines Risky | TVR | Best in Video | https://ow.ly/jsJA50Zvnng "Beginning in late 2021, I observed a series of unexpected cancer relapses and unusually aggressive disease presentations among patients whose conditions had remained stable for years. #mRNA #Vaccines #Cancer #NVIC

5 Aug 2026, 01:08 UTC20 viewsread 6 August 2026

Newsom’s Chief of Staff and Xavier Becerra’s have now pleaded guilty to corruption charges. So the top staffer for the current Governor and the nominee to be the next Governor are both convicted felons. That tells you all you need to know about Sacramento. https://blog.electkevinkiley.com/nonexistent-trains-to-nowhere/

5 Aug 2026, 00:33 UTC17 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedom

The Future of Free Speech | TVR | Aaron Kheriaty | Guest Writer | https://ow.ly/anbO50Zvniz "The future of censorship will involve outsourcing most of this work to AI. With large language models now capable of digesting and synthesizing enormous swathes of online speech, our ability to communicate in the digital realm will soon be controlled by invisible yet immensely powerful bots." #Censorship #FreeSpeech #NVIC

4 Aug 2026, 12:58 UTC19 viewsread 6 August 2026

I was asked: “If you could depose Fauci...” The following question was posed during today’s Substack live Q&A: “If you could depose Fauci what would you ask him?” https://rumble.com/shorts/v7dejo2

4 Aug 2026, 12:37 UTC21 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedom

Oral Vaccine Being Developed for Invasive Bacterial Diarrhea | TVR | Natasha Hobley | https://ow.ly/1vl550ZvlRF 🔹Two Study Participants Develop Severe Shigellosis Symptoms 🔹Epidemiologist Says Dosing May be Difficult Due to Bioindividuality 🔹Gates Foundation Funds Shigellosis Study 🔹Unknown if Oral Vaccine will be Safe on Young Children

28 Jul 2026, 02:37 UTC32 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedom

Oncologist Calls for Banning COVID-19 Shots, as Congress Debates Whether They Cause or Accelerate Cancer | TVR| Amber Baker | https://ow.ly/Ht0s50Zs9C7 🔹Multiple Witnesses Testify That Valid Research Was Retracted and Systematically Suppressed 🔹600-Page Report Details How Health Officials Hid COVID Shot Safety Signals 🔹Science Advances Through “Rigorous Inquiry and Transparent Debate” #Covid19 #Vaccines #Cancer #O

27 Jul 2026, 22:19 UTC29 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedomPhoto

Forced Vaccination: The Tragic Legacy of Jacobson v. Massachusetts | Barbara Loe Fisher | 11/2 /2016 | https://ow.ly/xKO350Zt9aT "In a nutshell, the judges sitting on the Supreme Court more than a century ago used bad logic, relied on old science and made the ridiculous assumption that doctors are infallible to give government the green light to force healthy Americans to risk their lives with a pharmaceutical produ

24 Jul 2026, 17:28 UTC34 viewsread 6 August 2026
Forwarded from @drpalevskyPhoto

Why Are So Many Kids Chronically Sick? A Holistic Pediatrician Explains Children’s brain health needs deeper questions. In this episode, we speak with Dr. Larry Palevsky about chronic neuroinflammation, environmental exposures, mitochondrial stress, and why informed consent matters in pediatric care. ✅ Brain development ✅ Immune activation ✅ Root-cause pediatrics ✅ Parent-centered decision-making This episode is

24 Jul 2026, 17:27 UTC23 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedom

Oncologist Calls for Banning COVID-19 Shots, as Congress Debates Whether They Cause or Accelerate Cancer | TVR| Amber Baker | https://ow.ly/Ht0s50Zs9C7 🔹Multiple Witnesses Testify That Valid Research Was Retracted and Systematically Suppressed 🔹600-Page Report Details How Health Officials Hid COVID Shot Safety Signals 🔹Science Advances Through “Rigorous Inquiry and Transparent Debate” #Covid19 #Vaccines #Cancer #O

24 Jul 2026, 03:28 UTC33 viewsread 6 August 2026
Forwarded from @NVIC_VaccineFreedom

Amish Families in New York Lose Religious Vaccine Exemption Case | TVR | Carolyn Hendler, JD | https://ow.ly/cgFF50Zs9be 🔹The Amish Families Filed Suit in 2023 🔹The Supreme Court Sent the Case Back in December 2025 🔹Court Finds Vaccine Mandate Does Not Trigger Strict Scrutiny 🔹Attorneys Call for Supreme Court Review 🔹The Supreme Court Is Not the Answer #Amish #SCOTUS #ReligiousExemption #Vaccines #NVIC

Showing the 12 most recent of 20 posts we hold for @CaliVaxChoice. 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

Citation-graph rank — 244,024 of 1,336,469entries 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.

Forward network

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.

Cite this entry

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“CaliVaxChoice” (@CaliVaxChoice), 536 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/CaliVaxChoice.

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.