7 karma · joined March 15, 2022
Synthesize the statistical results of millions of peer-reviewed studies, updated daily
Cite and link to all sources used and present other relevant sources
Recommend and visualize topics that relate statistically to your search
Thank you for the comment. This is a great observation and it is true that many of current relationships on System are not comprehensive (i.e. they are not based on a representative sample of overall scientific consensus in that field). Some topics/relationships are more comprehensive than others (e.g. relationship between food fortification and anemia: https://system.com/view/topic-relationship/yQrSS5fcTQs/d9wUM...)
System is still in its infancy. Compare it to early days of Wikipedia. Over time, our goal is improve the depth and breath of knowledge on System through various methods including community engagement and partnership with domain experts.
Meanwhile, if you are interested in exploring a specific topic, please let us know through our slack community (link on the platform) and we will be happy to prioritize them.
We love wrestling with these types of questions at System. The examples that you gave are "semantic" on System. You find those connections in Wikidata for example. (Q19546 -> Q9592 -> Q1841 or Q1297 -> Q1204). A relationship is statistical (as defined on System) if you can estimate its strength statistically, in a population and with certain statistical confidence.
Thank you for the question. We don't distinguish the upstream and downstream effect at the moment. However, we do encode directionality of pieces of evidence that construct those relationships. If you drill down on any relationship, you will find directionality arrows. (note that I am not using directionality as the evidence of causality. That's something that we are currently working on).
More information on our methodology are in our docs: https://docs.system.com/system/how-system-works/relationship...
We are building System with multiple personas in mind. While a domain expert might be interested in drilling down to understand the source of every piece of evidence, an average user may just want to understand the system of using pacifier for their newborn.
The atom of System is a single statistical association that carries its context (population, covariates, etc). As you zoom out, we summarize and combine pieces of evidence (through semantic matching and meta-analysis).
This method provides an incredibly powerful framework to tailor to different needs and level of expertise.
Thank you for the very intriguing question. System consists of statistical relationships and their causal counterpart (A correlates with B and A caused B). Theoretically, we don't claim completeness of the causal graph even in the steady state.