Quote (TiStuff @ Jan 2 2022 01:50am)
you have 2020 deaths number link
Large datasets take time to collect, process and analyze. It isn't an instantaneous thing when you're collecting huge numbers from 150+ countries that all handle the data differently.
Let me ask if you this, if I asked you to figure out how many organic oranges were sold in America last Monday where would you go? That number exists and is knowable but how would you go about getting an answer? You could call up the corporate of every grocery store and ask for their tally but how can you be sure Walmart and Wegmans are reporting the numbers the same way? What if one group reports their sales by the pound where as others report by unit? How do you parse all that data efficiently into a single, reliable number?
I'm sure the 2020 number is out there but when dealing with any dataset that has complex inputs it isn't as simple asopening your global deaths 2021 spreadsheet now that it's 2022
This post was edited by Sioux on Jan 2 2022 03:56am