Thanks for the info, really makes me wonder if there are any other horrifying patterns in that data. If anyone else is interested, from that post, the vaers csv files are at,

https://vaers.hhs.gov/data/datasets.html

The data.zip files contain the data.csv, symptoms.csv, and vax.csv files, so you don't have to d/l all of them on the page there. The column headings are,

data.csv,

VAERS_ID,RECVDATE,STATE,AGE_YRS,CAGE_YR,CAGE_MO,SEX,RPT_DATE,SYMPTOM_TEXT,DIED,DATEDIED,L_THREAT,ER_VISIT,HOSPITAL,HOSPDAYS,X_STAY,DISABLE,RECOVD,VAX_DATE,ONSET_DATE,NUMDAYS,LAB_DATA,V_ADMINBY,V_FUNDBY,OTHER_MEDS,CUR_ILL,HISTORY,PRIOR_VAX,SPLTTYPE,FORM_VERS,TODAYS_DATE,BIRTH_DEFECT,OFC_VISIT,ER_ED_VISIT,ALLERGIES

symptoms.csv,

VAERS_ID,SYMPTOM1,SYMPTOMVERSION1,SYMPTOM2,SYMPTOMVERSION2,SYMPTOM3,SYMPTOMVERSION3,SYMPTOM4,SYMPTOMVERSION4,SYMPTOM5,SYMPTOMVERSION5

vax.csv,

VAERS_ID,VAX_TYPE,VAX_MANU,VAX_LOT,VAX_DOSE_SERIES,VAX_ROUTE,VAX_SITE,VAX_NAME

vaers_id is the common key for the rows, each case gets an id? So count the vaers_id's in data.csv for each vaers_id and vax_lot in vax.csv, e.g. numdays makes me wonder, what's the distribution look like there, from vax_date to onset_date. Any clusters in age or sex, maybe. Is this the data set after they removed a bunch of deaths a while ago, etc.