Our Lady of Soccorso


Body part peddlers complain that prolifers make them “look bad”

End-Of-Life Decisions and Facts

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Assembly Select Committee On Women's Reproductive Health,
March 11th, 2020

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Landmark Cases explores the human stories and constitutional dramas behind some of the most significant and frequently cited decisions in the Supreme Court's history

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TS Radio interview
about Palliative Care
and the Legislative Process

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Meeting the needs of Patients - Post
Roe v. Wade

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CA Senate Health Committee SB 24 hearing on April 3, 2019.

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The Star of Bethlehem shines brightly on the newborn child, Jesus.

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This child doesn’t need Government mandated Pre-K schooling. Young John is the grandchild of a very fine Pro Life Family.

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Four month and six month old human fetal skeletons, displayed At the Federal Civil War Medical and Military history Museum, in Silver Spring, MD. Display can be found in new more current segment of the museum’s historical displays.

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Mary Catherine was an abandoned new-born, found in Antioch and buried by Ca. Right to Life and Birthright of concord, at Queen of Heaven Cemetery in Lafayette, Ca. along with 24 other pre-born babies.

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Come Holy Spirit, enlighten the minds and hearts of your people!
July 4th, 2018



March 24th 2020 @ 7:30 am

Flattening the Coronavirus Curve

Camille Giglio

March 18, 2020, Walnut Creek, Ca During a recent tv news appearance President Trump, in discussing the statistics of the Coronavirus and medicine’s ability to serve the quickly expanding need for care, made a very brief reference to how they would meet the demand for care and, while doing that also ”flatten the curve.” Since then it would seem that it has become okay for the media to use that phrase also.

This is a phrase familiar to people in the epidemiological field of medicine, i.e. related to epidemics or surges in social unrest.. With all the news continually bombarding us from the media about this virus and its destructive nature, one might say, well, a statistical curve is not at all important.


This Coronavirus statistical curve is very much what this whole new health care field is all about.. The reference in this instance is for medical and statistical events; for politicians, such as Bernie Sanders. And company, it translates into “Health Care for All.” I’ not trying to suggest that this epidemic was planned as an exercise in controlling groups of people, not at all, but it could be an opportunity for certain agendas, such as population control, to be initiated.

I would invite everyone to research this phrase, I have included a small portion of an article here describing it’s meaning, but it is important enough that all should become familiar with this curve and its purpose..

Julie Fischer, professor of global medicine at Georgetown University explained it’s meaning on a recent C-Span program. “It is a way to slow down the new cases of a fast growing contagious illness making it appear (my emphasis) that it can [be] safely and efficiently meet the needs of the community’s residents who contract the illness.

Ms Fischer also said: It does not mean that fewer cases will occur. It just means that those cases will be spread out over a longer period of time allowing hospitals and clinics to meet those needs.

I would add that it makes it diverts blame from bureaucratic entities and gives the appearance of efficiency.

Many media outlets have attempted to critically point fingers at President Trump as though it is all his fault that this illness has caused such a upheaval in our lives. As I recall, in hearing President trump make this reference it was more like: “Ah, yes, flattening the curve.” Quite possibly Trump was attempting to quietly call the citizen’s attention to the fact that some information is being held back from the public.

I first learned about the Curve when I read a small book authored in 2017, by Dr. Michel Accad, a San Francisco Bay Area, UCSF practicing Cardiologist,. (see the About The Author below) His book entitled Moving Mountains: A Socratic Challenge to the Theory and Practice of Population Medicine.

He used the Socratic method of interviewing Geoffrey Rose, the person who is recognized as one of the people highly influential in public health circles, for discovering and or developing the epidemiological curve as a tool to change and rearrange public statistics to fit the desired goal. (That’s my definition.)

The idea is to take data such as one sees in that curve below and change the outcome by the way they change the data gathered or statistics. For instance, in attempting to find all the people to test for Coronavirus they started (so I read), by testing everyone who had a temperature of 98.6 which could include most everyone. They then said, wait, let’s start by testing everyone with a temperature of 101.1. Well, that got rid of a lot of potential virus patients and began to create a slightly flattened curve making it seem like the government or whomever had a handle on what was happening. This is just a example.

The internet is full of info on this subject.

In the book Dr. Accad (Socrates) has a dialogue with Rose about re-arranging the statistics on population to make it appear that the government is well capable of greatly flattening the curve of problems with certain ethnic groups of people.

Basically the curve, or problem is readily solved by preventive medicine. i.e. preventing or reducing births to certain groups, also birth control, education programs, etc. One doesn’t really solve anything, one just reduces the consequences by reducing the population.

Geoffrey Rose’s prevention theory

“Sick individuals and sick populations” is a paper written by Geoffrey Rose in 1985. It was published in the International Journal of Epidemiology and is one of the most influential public health papers ever written.

He describes and compares the ‘high-risk’ and ‘population’ strategies for prevention of disease. I think most readers will be able to access the original paper here, but if you cannot access it, this Wikipedia article gives you the basic idea.

The main idea is that the largest number of cases of ill health happen not in those at high risk, but in those who have just some risk, simply because there are more of them. See below for a more detailed summary.

The distribution of risk in a population often follows a bell curve (see figure), so if you are able to shift the whole curve to the left (lower risk in red), then everybody has a lower risk and you will get a fffewer number of cases.

Diagram of Geoffrey Rose’s theory

The high risk approach

The ‘high-risk’ approach to prevention is where medical professionals identify people with a condition (e.g. high blood pressure) and prescribe medication to prevent it developing into heart disease, or other diseases high blood pressure might be a risk factor for.

The advantages are that people are likely to be motivated to take the medication and the intervention will be tailored to the individual. The disadvantages are that any fixes may be temporary because the cause of high blood pressure is not identified. Also, predicting new cases of disease (known as incidence) is difficult to predict for individual.

California Right to Life Committee, 2872 Ygnacio Valley Rd 243, Walnut Creek, Ca 94598, 925_899-3064.

To learn more about CRLC visit: www.callifeadvocates.org/blog Look for the video on the Ca. Assembly Women’s Reproductive Rights and their plan to attack the Catholic Church and drive them out of medicine, for failure to deliver medicine and surgeries on demand esp. to the LGBTQ cabal.

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Take away God, all respect for civil laws, all regard for even the most necessary institutions disappears; justice is scouted; the very liberty that belongs to the law of nature is trodden underfoot; and men go so far as to destroy the very structure of the family, which is the first and firmest foundation of the social structure.
- St. Pius X, Jucunda Sane, March 12, 1904