l1.7.A.10 — Compare the fame of multiple individuals. Having identified the best name candidate for every individual, we use the word frequency time series of this name as a metric for the fame of the each individual. We now compare the fame of multiple individuals on the basis of the properties of their fame signal. For this analysis, we group people according to specific characteristics, which in the context of this work are the years of birth and the respective occupations. 10) Assemble cohorts on the basis of a shared record property. a. Fetch all records which match a specific record property, such as year of birth or occupation. b. Create fame cohorts comparing the fame of individuals born in the same year. i. Use average lifetime fame ranking, done on the basis of the average fame as computed from the birth of the individual to the year 2000. c. Create fame cohorts for individuals with the same occupation. i. Use most famous 20" year, ranking on the basis of the 20" best year in the terms of fame for the individual. III.7B. Cohorts of fame For each year, we defined a cohort of the top 50 most famous individuals born that year. Individual fame was measured in this case by the average frequency over all years after one's birth. We can compute cohorts on the basis of names from Wikipedia, or Encyclopedia Britannica. In Figure 5, we used cohorts computed with names from Wikipedia. At each time point, we defined the frequency of the cohort as the median value of the frequencies of all individuals in the cohort. For each cohort, we define: (1) Age of initial celebrity. This is the first age when the cohort's frequency is greater than 10-9. This corresponds to the point at which the median individual in the cohort enter the "English lexicon" as defined in the first section of the paper. (2) Age of peak celebrity. This is the first age when the cohort's frequency is greater than 95% of its peak value. This definition is meant to diminish the noise that exists on the