The new mathematical tool can tease out the contributions that each variable in a system makes to a measured effect—both separately and, more importantly, in combination. The team describes its new method, called synergistic-unique-redundant decomposition of causality (SURD), in a paper published today, November 1, in the journal Nature Communications.
"Previous methods will only tell you how much causality comes from one
variable or another," explains Lozano-Durán. "What is unique about our
method is its ability to capture the full picture of everything that is
causing an effect."
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