This is from 31 years of history. Notice that COVID19 is overtaking everything by huge margin. JJ is last entry BTW.
This is the number of deaths, life threatening, or hospitalizations by vaccine type and name according to the VAERS system. I downloaded data and imported into DB so its easy to query for specific details.
select V.VAX_TYPE, V.VAX_NAME, count() from VAERSDATA D INNER JOIN VAERSVAX V on D.VAERS_ID = V.VAERS_ID WHERE (D.DIED='T' OR D.L_THREAT='T' OR D.HOSPITAL='T') GROUP BY V.VAX_TYPE, V.VAX_NAME ORDER BY COUNT() DESC;
COVID19,COVID19 (COVID19 (MODERNA)),4426
COVID19,COVID19 (COVID19 (PFIZER-BIONTECH)),4216
OPV,"POLIO VIRUS, ORAL (ORIMUNE)",3353
RV5,ROTAVIRUS (ROTATEQ),2750
VARCEL,VARICELLA (VARIVAX),2714
PPV,PNEUMO (PNEUMOVAX),2585
VARZOS,ZOSTER LIVE (ZOSTAVAX),2483
PNC,PNEUMO (PREVNAR),2294
FLU3,INFLUENZA (SEASONAL) (FLUZONE),2219
MMR,MEASLES + MUMPS + RUBELLA (MMR II),1963
HPV4,HPV (GARDASIL),1569
FLUX,INFLUENZA (SEASONAL) (NO BRAND NAME),1469
PNC13,PNEUMO (PREVNAR13),1111
HEP,HEP B (ENGERIX-B),1051
FLU3,INFLUENZA (SEASONAL) (FLUVIRIN),1016
HEP,HEP B (RECOMBIVAX HB),861
VARZOS,ZOSTER (SHINGRIX),807
TDAP,TDAP (ADACEL),803
FLU3,INFLUENZA (SEASONAL) (FLUZONE HIGH-DOSE),622
COVID19,COVID19 (COVID19 (JANSSEN)),609
p.s can someone tell me how to use PRE or list/table formatting.
There's also a lot of flat out lies in there. I've found people have been flooding it with their personal ideas and beliefs. I heard one of the admins of VAERS on a podcast a few months ago and he said that 20% of the cases being reported on there were from the same IPs.
I wouldn't doubt it. Great for anecdotes but otherwise really messy data.
Please provide proof of this. Give me a VAERS ID number. I have spot checked many of the current ones and they look legit to me. There is some bad data for sure but I haven't seen anything like what you are talking about.
The point of the story is the velocity of reports compared to other vaccines. At this point in time it has overtook many vaccines that have been around for a long time.