Warning: Undefined variable $num in /home/shroutdo/public_html/courses/wp-content/plugins/single-categories/single_categories.php on line 126

Warning: Undefined variable $posts_num in /home/shroutdo/public_html/courses/wp-content/plugins/single-categories/single_categories.php on line 127

Something I found interesting in Guinnane and O’Grada’s “Mortality in the North Dublin Union” is that the authors say “no measure is entirely immune to outside conditions“. If data itself is a collection of measurements, whether directly or indirectly, then that means no data is immune to outside conditions. If that’s the case, then theoretically no data is truly independent. If all data is affected or influenced in some way by outside conditions, then can any data be truly representative of the situation it’s attempting to model? How do we know which data to trust and which not to trust? It seems like conclusions are often attempted to be drawn from data which seems representative, but may not be. How do we mitigate the effects of these outside conditions and preserve the purity and trust of our data?