EGU26-21525, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-21525
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Friday, 08 May, 14:21–14:24 (CEST)
 
vPoster spot 5
Poster | Friday, 08 May, 16:15–18:00 (CEST), Display time Friday, 08 May, 14:00–18:00
 
vPoster Discussion, vP.8
Extreme Academic Tales for Recorded Extreme Tails in Greece
Panayiotis Dimitriadis
Panayiotis Dimitriadis
  • Independent Researcher

One of the most life-changing experiences for scientists is when real-world events challenge theoretical knowledge and standard models in the literature. When facing such circumstances, scientists, instead of feeling disappointment and discouragement, must seize the opportunity to expand their knowledge and adjust for flaws in their initial assumptions, as academic integrity is rooted in fundamental scientific values, such as honesty and fairness. Considering this, and after decades of post-graduate, PhD, and post-doctoral studies in the fields of Hydraulics, Hydrology, and Stochastics, we witnessed a series of unprecedentedly extreme events in academia involving the official regulations for tenured professorships in Greece. These regulations mandate the formation of an Academic Board for candidate evaluation by randomly drawing lots from a pool of professors whose scientific fields are relevant to the subject of the position. This is intended to avoid "pre-designed" boards (i.e., those formed by blocking certain experts —often highly qualified ones— from the draw and favouring others —often poorly qualified ones— who may have scientific and financial conflicts of interest regarding specific candidates), which can cause severe long-term degradation of the educational system. Unexpectedly, even after multiple repetitions and strong reassurance regarding the validity of the above procedure, the probability of the outcomes (specifically, the consistent drawing of a handful group of lots) reached the extreme order of millionths. In this presentation, we will discuss these experiences with extremes and whether the concepts of statistical significance and reliability indices in scientific literature and academic regulations should be revisited.

How to cite: Dimitriadis, P.: Extreme Academic Tales for Recorded Extreme Tails in Greece, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21525, https://doi.org/10.5194/egusphere-egu26-21525, 2026.