PubMed Health⌕ Search

PubMed · 10863346

[Anton Chekhov--a self-deceiver?].

Abstract

The Russian author and doctor Anton Chekhov (1860-1904) died from tuberculosis in 1904. He had his first haemoptysis in 1884. In spite of continuing symptoms he did not let himself be examined by colleagues until he had a severe haemorrhage in 1897. He was then hospitalized, and extensive bilateral pulmonary tuberculosis was diagnosed. Even after that, he did not take his disease seriously. His attitude has been taken as an example of a doctor's self-deception. Almost 4,500 of Chekhov's letters has been published. In this article, the letters and contemporary memorial literature are used to illustrate the development of his disease and his ambivalence towards it. His self-deception was not that massive; there is a strain of uneasiness in his reports of his symptoms.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P J Lund. 2000-04-10. [Anton Chekhov--a self-deceiver?].. https://pubmed.ncbi.nlm.nih.gov/10863346/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

On lie detection "wizards".

M. O'Sullivan and P. Ekman (2004) claim to have discovered 29 wizards of deception detection. The present commentary offers a statistical critique of the evidence for this claim. Analyses reveal that chance can explain results that the authors attribute to wizardry. Thus, by the usual statistical logic of psychological research, O'Sullivan and Ekman's claims about wizardry are gratuitous. Even so, there may be individuals whose wizardry remains to be uncovered. Thus, the commentary outlines forms of evidence that are (and are not) capable of diagnosing lie detection wizardry.

Deception↗

Unicorns or Tiger Woods: are lie detection experts myths or rarities? A response to on lie detection "wizards" by Bond and Uysal.

Bond and Uysal (this issue) complain that expert lie detectors identified by O'Sullivan and Ekman (2004) are statistical flukes. They ignore one class of experts we have identified and misrepresent the procedures we use to identify the others. They also question the psychometric validity of the measures and protocol used. Many of their points are addressed in the chapter they criticize. The fruitfulness of the O'Sullivan-Ekman protocol is illustrated with respect to improved identification of expert lie detectors, as well as a replicated pattern of errors made by experts from different professional groups. The statistical arguments offered confuse the theoretical use of the binomial with the empirical use of the normal distribution. Data are provided that may clarify this distinction.

Deception↗