## Metadata - Author: [[cassie-kozyrkov|Cassie Kozyrkov]] - Full Title:: How to Form Realistic Expectations About Data - Category:: #🗞️Articles - Document Tags:: [[Data analysis|Data analysis]], [[Google analytics|Google Analytics]], - URL:: http://bit.ly/quaesita_realisticanalyst - Finished date:: [[2023-11-06]] ## Highlights > The universe doesn’t owe you solid conclusions just because you got hold of some numbers. ([View Highlight](https://read.readwise.io/read/01hehjay37p3pxn326nqstwp2x)) > The reason that [statisticians and machine learning engineers](http://bit.ly/quaesita_roles) get to enjoy the bliss of working with custom-made primary datasets is that analysts have already done the exploratory work to figure out which problems are *worth* creating data for. ([View Highlight](https://read.readwise.io/read/01hehje92jpetew52y76kzz4am)) > [Statisticians](http://bit.ly/quaesita_statistics) and [machine learning](http://bit.ly/quaesita_simplest) engineers are narrow-and-deep workers, so it’s really important to point them at problems that deserve the effort ([View Highlight](https://read.readwise.io/read/01hehjes055nhh8pj18zs9a44d))