In their recent opinion piece, Guloksuz and van Os point out that psychosis is continuously distributed and that subclinical levels of psychosis correlate with risk of developing schizophrenia (Guloksuz & van Os, Reference Guloksuz and van Os2017). They accompany this with an illustration of the liability-threshold model, in which the trait liability follows a Gaussian distribution in the population and anybody whose liability exceeds a threshold develops the clinical syndrome. They were also authors on a recent study which applied the Community Assessment of Psychic Experiences (CAPE (Konings et al. Reference Konings, Bak, Hanssen, van Os and Krabbendam2006)) to a sample of patients with schizophrenia, their parents and siblings and healthy comparison subjects (van Os et al. Reference van Os, van der Steen, Islam, Gülöksüz, Rutten and Simons2017). They did not report the CAPE scores for the patients but the unaffected groups at different time points had mean CAPE-POS scores between 0.08 and 0.19 with the highest group standard deviations (s.d.) being 0.19 and mean CAPE-NEG scores between 0.39 and 0.54 with the highest group s.d. being 0.40. By contrast, a sample of German in-patients with schizophrenia had a mean CAPE-POS score of 1.86 and a mean CAPE-NEG score of 2.26 (Moritz et al. Reference Moritz, Van Quaquebeke, Lincoln, Köther, Andreou and Andreou2013). Thus, taking the s.d. of the trait as measured in unaffected subjects, patients have CAPE-NEG scores which are more than 4 s.d. higher than the population mean and CAPE-POS scores which are more than 8 s.d. higher. Likewise, as part of the Genetic Risk and Outcome of Psychosis (GROUP) study, quantitative traits related to psychosis were measured in psychosis patients, their relatives and community controls and it was found that the shape of the distributions suggested multiple component distributions (Derks et al. Reference Derks, Allardyce, Boks, Vermunt, Hijman and Ophoff2012). The relevant results are illustrated in Fig. 1. In these samples the unaffected subjects had mean scores on the positive symptom dimension of −0.54 with s.d. 0.31 and on the negative symptom dimension of −0.28 with s.d. 0.24. In-patients and out-patients with schizophrenia had mean positive symptom scores of 0.90 and mean negative symptom scores of 0.67, again several s.d. higher.

Fig. 1. Distribution of quantitative trait scores in schizophrenia patients and unaffected subjects for (a) positive and (b) negative symptom dimensions.

These results show that the distribution of psychosis may be continuous, but it is certainly not Gaussian. Furthermore, the lack of a universally clear boundary between the normal and abnormal does not mean that the concept of a discrete illness becomes invalid. Height is continuously distributed but achondroplasia is a disease and temperature is continuously distributed but many illnesses cause pyrexia. Some patients have severe schizophrenia and some have mild schizophrenia and for some the diagnosis is uncertain. One can measure psychotic traits in the general population and there may be no clear divide between patients and non-patients. However, the fact that patients have symptom scores which are very markedly abnormal provides strong support for the argument to retain the concept of schizophrenia as an illness.