These are the most notable lots in Germany, which are being used in lawsuits for vaccine injury by a German lawyer. Could you also create an international analysis from VAERS for this? EM0477, FC3095, EX3510, FE6975, EW8904, ER9480, ET3045. Thank you for your efforts.
Any reports from Germany that came into VAERS up to Nov 2022 are there, also anything that was deleted after publication I have in my "deleted reports" dashboard. Unfortunately critical country or origin detail was stripped from published reports after Nov 2022 per request of EMA, EudraVigilance and MHRA. However the lot details are still there for foreign reports, so for example we could look at all lots you list from "UNKNOWN FOREIGN COUNTRY" and still see the damage being done relative to total reports and % of severe event reports...
Absolutely, you can choose as many lot#s as desired. In my various videos I showing how I navigate through the dashboards and functionality of the filters and organizing the histogram graphs from high to low if needed.
I have now tested all batch numbers from Pfizer listed above (EM0477, FC3095, EX3510, FE6975, EW8904, ER9480, ET3045) and additionally, Pfizer lots from a table provided by a pathologist who published all cases in a book in Germany. Almost all of these batches were predominantly administered in Germany and Austria. The batches FD6840, FD4555, FF3318, EM0477, FA4598, and FF2834 show very high reports of adverse events, hospitalizations, and deaths. All Pfizer data combined account for 53,675 reports, of which the above-mentioned six batches make up about 60%. In total, for all Pfizer batches from both tables, there are 1,008 reported deaths and 2,334 permanent disabilities. The most affected age group is approximately 40 to 60 years old.
Excellent! Great to see you acclimated to the filters. Keep in mind, I also ethically cleanse the lot numbers meaning I fix typos and correct special characters, etc. When you match up my stats with howbadismybatch you will see I always have a little higher total count of unique ID# or "cases". I do not double count adverse events per report. I code to highest specificity meaning only the most serious event gets counted. Howbadismybatch is "double counting" the original data which is technically correct/true. However you need to ask yourself when you see a 100 ER visits in their system, how many of these also passed away, or also hospitalized. Many reports captured multiple adverse events like ER, then hospitalized, then dead...
Thank you for your clarification regarding the harmless yellow lots. I wonder if you could create a graph showing the updated red, blue, and yellow lots? Thank you for your efforts.
These are the most notable lots in Germany, which are being used in lawsuits for vaccine injury by a German lawyer. Could you also create an international analysis from VAERS for this? EM0477, FC3095, EX3510, FE6975, EW8904, ER9480, ET3045. Thank you for your efforts.
It's already there in my master dashboard https://www.vaersaware.com/entire-vaers-1990-current
Any reports from Germany that came into VAERS up to Nov 2022 are there, also anything that was deleted after publication I have in my "deleted reports" dashboard. Unfortunately critical country or origin detail was stripped from published reports after Nov 2022 per request of EMA, EudraVigilance and MHRA. However the lot details are still there for foreign reports, so for example we could look at all lots you list from "UNKNOWN FOREIGN COUNTRY" and still see the damage being done relative to total reports and % of severe event reports...
Thank you for you help, 1) can I select more than one lot. As you did it with the "yellow lots"?
Absolutely, you can choose as many lot#s as desired. In my various videos I showing how I navigate through the dashboards and functionality of the filters and organizing the histogram graphs from high to low if needed.
I have now tested all batch numbers from Pfizer listed above (EM0477, FC3095, EX3510, FE6975, EW8904, ER9480, ET3045) and additionally, Pfizer lots from a table provided by a pathologist who published all cases in a book in Germany. Almost all of these batches were predominantly administered in Germany and Austria. The batches FD6840, FD4555, FF3318, EM0477, FA4598, and FF2834 show very high reports of adverse events, hospitalizations, and deaths. All Pfizer data combined account for 53,675 reports, of which the above-mentioned six batches make up about 60%. In total, for all Pfizer batches from both tables, there are 1,008 reported deaths and 2,334 permanent disabilities. The most affected age group is approximately 40 to 60 years old.
Excellent! Great to see you acclimated to the filters. Keep in mind, I also ethically cleanse the lot numbers meaning I fix typos and correct special characters, etc. When you match up my stats with howbadismybatch you will see I always have a little higher total count of unique ID# or "cases". I do not double count adverse events per report. I code to highest specificity meaning only the most serious event gets counted. Howbadismybatch is "double counting" the original data which is technically correct/true. However you need to ask yourself when you see a 100 ER visits in their system, how many of these also passed away, or also hospitalized. Many reports captured multiple adverse events like ER, then hospitalized, then dead...
"All Covid-19 vaccines are dog shit on principal alone, and <the> yellow batches are definitely not “harmless” !!!
Thank you for your clarification regarding the harmless yellow lots. I wonder if you could create a graph showing the updated red, blue, and yellow lots? Thank you for your efforts.