 To explore this hypothesis , I extend the classical SIRD model to incorporate conditional quarantine and  two groups of agents : the majority and the corona sceptics, where the latter are less inclined to get tested and engage in social distancing. Such a model can explain the puzzling empirics: if mixing is sufficiently homophilic , an increase in the share of corona sceptics can cause an increase in the number of deaths without increasing the number of reported infections .
<meaning-changed>  To explore this hypothesis , I extend the classical SIRD model to incorporate conditional quarantine and  two groups of agents : the majority and the corona sceptics, where the latter are less inclined to get tested and engage in social distancing. Such a model can explain the puzzling empirics: if mixing is sufficiently homophilic , an increase in the share of corona sceptics can cause an increase in the number of deaths without increasing the number of reported infections .
 To explore this hypothesis , I extend the classical SIRD model to incorporate conditional quarantine and two groups of agents with behavioral differences and explore its partly non-trivial properties using thousands of numerical simulations. This model can explain the puzzling empirics: if mixing is sufficiently homophilic , an increase in the share of corona sceptics can cause an increase in the number of deaths without increasing the number of reported infections .