Tag: statistics

  • Is the CDC Making Baseless Anti-Science Recommendations?

    This is a response to a recent Health District Board Meeting by a local Idahoan:

    Thank you, Mr Labrador, for addressing the issue with the CDC making baseless, anti-science recommendations. The CDC has lost a great deal of respect over this issue. It is wise to not follow suit. However, while addressing this issue Mr. Ladrador also uses CDC proclamations to make a point that the unvaccinated are responsible for hospital admissions. This is very misleading. Please, educate yourselves on how the vaccinated are being classified under CDC standards.

    The CDC states, “In general, people are considered fully vaccinated: ±

    2 weeks after their second dose in a 2-dose series, such as the Pfizer or Moderna vaccines, or

    2 weeks after a single-dose vaccine, such as Johnson & Johnson’s Janssen vaccine

    If you don’t meet these requirements, regardless of your age, you are NOT fully vaccinated.

    Keep taking all precautions until you are fully vaccinated.”

    https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
    https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html#footnote

    Therefore, those who are not “fully vaccinated” AND outside the prescribed two-week vaccination window, are counted as unvaccinated. This is deceptive.

    Why can’t the CDC be transparent and add a third category of partially vaccinated if they do not wish to categorize a vaccinated person who is under two weeks post-vaccine? How do we know that newly vaccinated people are not the patients currently admitted to the hospital? After all, we are using an old vaccine for a variant it was not designed to protect against.

    Secondly, the CDC stopped counting vaccine breakthrough cases in May 2021. *cases of COVID in the vaccinated.

  • https://www.cdc.gov/vaccines/covid-19/health-departments/breakthrough-cases.html

    • This was roundly criticized by scientists and doctors. Many shared the same concern in neglecting to follow the real data and ensure we are protecting our most vulnerable population. If the vaccine cannot stop transmission, how can we protect the vulnerable? Will we create more variants with a leaky vaccine and will these strains negatively impact our children?

    Thirdly, data collected is year-to-date. This is a major issue in that the CDC is muddying the data by counting unvaccinated persons before the vaccine was widely administered.

    “Two-thirds of 2021 cases and 80 percent of deaths came before April 1, when only 15 percent of the country was fully vaccinated, which means calculating year-to-date ratios means possibly underestimating the prevalence of breakthrough cases by a factor of three and breakthrough deaths by a factor of five. And if the ratios are calculated using data sets that end before the Delta surge, as many have been, that adds an additional distortion, since both breakthrough cases and severe illness among the vaccinated appear to be significantly more common with this variant than with previous ones.” Confounding the issue by ignoring these problems does not impart confidence among the public.

  • https://nymag.com/intelligencer/2021/08/breakthrough-covid-19-cases-may-be-a-bigger-problem.html

    • What are the real numbers of breakthrough cases?

    The CDC’s failure to track and monitor this requires us to look at other countries with large vaccine administration. Are countries with high vaccine uptake like Israel fairing better than us? A report showed that “ Israelis who were vaccinated were 6.72 times more likely to get infected after the shot than after natural infection.”

  • https://www.israelnationalnews.com/News/News.aspx/309762

    • Why are we ignoring natural infection protection?

    Many of us have recovered and the public is benefiting from our robust immunity against the Delta variant and future covid strains.

    Lastly, I encourage the board to reflect on their impact on the local community. The impression in the community over the last year was that CDH was unorganized, parroting misleading CDC guidance. Many of you do not have medical credentials and the best you can do is look to professionals for input. As we have seen, science is always changing.

    Today’s guidance is based on fleeting data that will be updated and evolving tomorrow. Do you really feel comfortable making definitive proclamations based on rapidly changing data? The public has access to the same information you do. We can make decisions for ourselves.

    Please, consider slowing down on your recommendations and recognize your limitations. Perhaps your next announcement can address your new restriction of power to an advisory role in House Bill 316.

    Thank you for your time,
    Idaho Citizen

    1. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
    2. https://www.cdc.gov/vaccines/covid-19/health-departments/breakthrough-cases.html
    3. https://nymag.com/intelligencer/2021/08/breakthrough-covid-19-cases-may-be-a-bigger-problem.html
    4. https://www.israelnationalnews.com/News/News.aspx/309762

    Centers for Disease Control and Prevention (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html)
    COVID-19 Vaccination
    COVID-19 vaccines protect against COVID-19. Get safety info and more.

  • Critical thinkers all over the world are wondering…

    It appears the COVID 19 cured both the FLU and MEASLES as we haven’t heard a peep about either one!!

    According to the CDC for the 2020-2021 flu season, there are some changes to FluView surveillance methodology.

    “In previous flu seasons, the NCHS surveillance data were used to calculate the percent of all deaths occurring each week that had pneumonia and/or influenza (P&I) listed as a cause of death. Because of the ongoing COVID-19 pandemic, COVID-19 coded deaths were added to P&I to create the PIC (pneumonia, influenza, and/or COVID-19) classification. PIC includes all deaths with pneumonia, influenza, and/or COVID-19 listed on the death certificate.”

    TWO DIFFERENT VIRUSES CODED WITH THE SAME CLASSIFICATION

    Influenza (Flu) and COVID-19 are both contagious respiratory illnesses, but they are caused by different viruses. COVID-19 is caused by infection with a new coronavirus (called SARS-CoV-2) and flu is caused by infection with influenza viruses. Because some of the symptoms of flu and COVID-19 are similar, it may be hard to tell the difference between them based on symptoms alone, and testing may be needed to help confirm a diagnosis.

    To keep the statistics as muddy as possible it appears they are combining flu with COVID 19 and pneumonia on the death statistics. We certainly don’t want to have accurate figures for our scientists – right?!

    There are those who aren’t swept up by propaganda and are desperately trying to filter through the intentionally manipulated data to help determine the risk of this virus. Enter Dr. Frank who says the following on his website:

    Sometimes when we don’t understand everything that is going on in a situation, scientists develop “empirical” models. Just pure math that works; no understanding whatsoever. Sometimes we build models that are a mix of what we know and what we don’t. Sometimes we can get away without knowing some things because they average out to being insignificant. The possible approaches are endless, and fun to explore if you are a geek. And great to learn mathematics with, which is why I make my students build a model in calculus class.

    So in all this Covid modeling, I’ve deployed all three approaches. And I’ve used common language, with minimal jargon to make it accessible to everyone. And it is working well. You guys are getting it.

    https://www.drfrankmodels.com/about

    Dr. Frank’s work is part of a long-line of thinkers who look at data, analyze the data into statistics, and use the results to make informed decisions. Our prayer is that it provides comfort and insight. Dr. Frank received a B.A. in Chemistry from Westmont College in Santa Barbara, California.

    COVID-19 Scientific Prediction Model (March 26)

    Above is a chart posted by Scott Atlas:

    Blue = cases
    Red = deaths

    …Despite mask mandates having been in effect for months, across the country. If we focus on death rates – even with the convoluted numbers – this isn’t something worth shutting down our country and destroying our freedom.

  • Herd Immunity Have You Seen the 1985 Statistics?

    Did you see this viral post on facebook about herd immunity? Herd immunity (also called herd effect, community immunity, population immunity, or social immunity) is a form of indirect protection from infectious disease that occurs when a large percentage of a population has become immune to an infection, thereby providing a measure of protection for individuals who are not immune.  If you were vaccinated in 1985 consider this data: 

    Are parents being sold a bill of goods about the importance of EVERY vaccine, herd immunity, and mandatory vaccination? I think so, but I’ll let you decide. What do you think of this data from 1985? Were you alive in 1985? I was. Were infectious diseases a hot topic of conversation? Were parents fearful for their baby’s lives? Why are things so different today and why is the narrative about vaccines so fear-based?

    If you wonder where this data comes from, it comes from the CDC, you can access it right here:

    https://www.cdc.gov/…/p…/downloads/appendices/G/coverage.pdf

    If you wonder why there are so many “0%” for vaccine coverage levels, it’s because none of those vaccines existed yet. You see, one year later, in 1986, Congress gave vaccine makers liability protection, and, presto, our kids started getting a bunch more vaccines.

    NOTE: These rates are ONLY for school-age children. The CDC didn’t even track ADULT vaccination rates, but you can be sure they were way LOWER than the rates for kids. Despite the fact that the population of the United States in 1985 (as it remains today) didn’t achieve ‘herd immunity’, we have a LOW disease rate and no one was terrified. It proves vaccines are not our savior.

    JB Handley offers more information on Herd Immunity and the Dishonest Marketing Gimmick 

    Childhood vaccination rates and adult vaccination rates in the United States right now is probably somewhere around 65%. Nowhere near Herd Immunity thresholds. See how that number is calculated.

    Herd Immunity 

    Why Herd Immunity Does not Work. If a vaccine produces any immunity at all, why on earth does it matter if anyone else is vaccinated? If vaccines produce “immunity” to the diseases for which they are given; it should not make a bit of difference who you are around or how many in the community are vaccinated. That’s like saying my bug spray won’t work unless you wear yours.

    What about Herd Immunity?

    3 out of 4 people are unvaccinated and thus herd immunity doesn’t exist.
    The sound bites of “herd immunity” are over simplification of a deeply complicated topic. Interview with Suzanne Humphreys

    Herd Immunity vs Outbreaks

    But in the fantasy reality of so-called “herd immunity,” 86% just isn’t enough to prevent a disease outbreak, or so goes the myth. According to information from the study presented by California Healthline, as many as 86% of those who caught measles at Disneyland were fully up to date on their MMR vaccinations for measles, mumps and rubella. If you believe in vaccines you realize that none of them should have gotten measles, if you believe the official story anyway.