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Another good source of pre-covid cardiac data is here https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset
It contains 70,000 records of cardio-vascular data. These were all collected at the time of clinical medication.

An analysis is found here. https://www.kaggle.com/code/sulianova/eda-cardiovascular-data

I was interested in finding out what the distribution of age was for pre-Covid-jab Cardiovascular disease. The mean age was 56. 1 = female, 0 = male

The distribution of age is very different from the age distribution post jab.

So its not just that the number of cardiac disorders has increased; its also a big change in the demographic of cardiac sufferers.

The jab induces cardiac disorder mostly in the under 30s, compared to ordinary cardio vascular disease, which occurs mostly in the over 50s. This is proof that we are not just looking at an increase of the same thing. These effects are not the result of degeneration with age



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Another good source of pre-covid cardiac data is here https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset
It contains 70,000 records of cardio-vascular data. These were all collected at the time of clinical medication.

An analysis is found here. https://www.kaggle.com/code/sulianova/eda-cardiovascular-data

I was interested in finding out what the distribution of age was for pre-Covid-jab Cardiovascular disease. The mean age was 56. 1 = female, 0 = male

The distribution of age is very different from the age distribution post jab.

So its not just that the number of cardiac disorders has increased; its also a big change in the demographic of cardiac sufferers.

The jab induces cardiac disorder mostly in the under 30s, compared to ordinary cardio vascular disease, which occurs mostly in the over 50s. This is proof that we are not just looking at an increase of the same thing. These effects are not the result of degeneration with age

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