further work on results

thesis/sections/background.tex

@@ -136,10 +136,10 @@ For women aiming to avoid pregnancy, minimizing false-negative predictions is cr
 Although false-positives may lead to unnecessary abstinence, this outcome is generally considered less severe.
 Consequently, prediction algorithms should be conservative, erring on the side of higher fertility estimates to prioritize safety.
 
-Conversely, for women aiming to conceive, false-positive predictions could misdirect efforts toward incorrect cycle days,
-causing frustration or delays.
-False-negatives have fewer negative consequences.
-Therefore, algorithms for this group should prefer cautious fertility estimates, reducing the risk of misdirected effort.
+For women aiming to conceive, incorrect predictions are less severe, as they might, at worst, result in misdirected
+pregnancy effort, causing frustration or delays, but no potential dangers to the health of a woman.
+Therefore, algorithms for this group don't need to be as conservative.
+It remains to be seen, where the middle ground lies and how different algorithms perform for different use cases.
 
 \subsubsection{Physiological Signs of Ovulation}\label{subsubsec:physiological_signs}
 Several physiological signs correlate with ovulation and can be used for prediction.