Bernd von Mallinckrodt 🦋Mar 21
Vielleicht ist #Opportunismus nicht das Problem, sondern das Symptom struktureller Kompression. Wie sich solche Dynamiken über verschiedene Systeme hinweg früh erkennen lassen, zeige ich hier: doi.org/10.5281/zeno... #CRTI 🖖

Mechanism-Dependent Performanc...
Mechanism-Dependent Performance of Early Warning Signals: A Multi-Dataset Comparison of Coupling (Φ), Fisher Information, and Composite Indicators

This study evaluates the performance of early warning signals (EWS) for ecological regime shifts across multiple datasets with distinct underlying collapse mechanisms. While early warning indicators such as lag-1 autocorrelation and Fisher Information have often been treated as broadly applicable, their reliability under mechanistically heterogeneous conditions remains insufficiently understood.   We test a mechanism-dependent hypothesis comparing coupling-based indicators (Φ, mean absolute cross-correlation) with stability-based indicators (Fisher Information, AR1) across five ecological datasets, including both externally forced transitions and intrinsically driven bifurcations. The primary hypothesis — that indicator performance systematically differs between forced and intrinsic systems — is not supported by statistical testing.   However, three robust findings emerge. First, the coupling indicator Φ consistently activates earlier than Fisher Information, providing a lead-time advantage of approximately 1.4–1.9× across most datasets, albeit with reduced discriminative precision. Second, Fisher Information exhibits substantially higher variability in performance, performing well in fold-type bifurcation systems but approaching random classification in acceleration-driven collapses. Third, indicator performance is better explained by the presence of an internal fold attractor and the direction of pre-collapse dynamics (deceleration versus acceleration) than by the conventional forced versus intrinsic classification.   Based on these findings, we propose a refined 2×2 mechanism taxonomy that links system dynamics to optimal indicator selection. Within this framework, coupling-based indicators act as distal early warning signals capturing structural synchronization, while stability-based indicators provide proximal, high-precision detection near the transition point. A composite indicator (CRTI-2) is evaluated as a mechanism-agnostic compromise, demonstrating stable intermediate performance across all datasets.   The results demonstrate that early warning signals are not universally transferable across collapse mechanisms. Instead, effective monitoring requires mechanism-aware indicator selection and explicit consideration of the trade-off between early detection and predictive precision. These findings have implications for ecological monitoring, complex systems diagnostics, and the design of early warning frameworks in heterogeneous dynamical environments.     early warning signals, regime shifts, critical transitions, ecological systems, Fisher Information, cross-correlation, coupling, autocorrelation, bifurcation theory, resilience, complex systems, regime shift detection, multivariate time series, system dynamics, collapse prediction

Zenodo
Bernd von Mallinckrodt 🦋Mar 21
Vielleicht ist #Opportunismus nicht das Problem, sondern das Symptom struktureller Kompression. Wie sich solche Dynamiken messen und vergleichen lassen, zeige ich hier: doi.org/10.5281/zeno... #CRTI 🖖

Mechanism-Dependent Performanc...
Mechanism-Dependent Performance of Early Warning Signals: A Multi-Dataset Comparison of Coupling (Φ), Fisher Information, and Composite Indicators

This study evaluates the performance of early warning signals (EWS) for ecological regime shifts across multiple datasets with distinct underlying collapse mechanisms. While early warning indicators such as lag-1 autocorrelation and Fisher Information have often been treated as broadly applicable, their reliability under mechanistically heterogeneous conditions remains insufficiently understood.   We test a mechanism-dependent hypothesis comparing coupling-based indicators (Φ, mean absolute cross-correlation) with stability-based indicators (Fisher Information, AR1) across five ecological datasets, including both externally forced transitions and intrinsically driven bifurcations. The primary hypothesis — that indicator performance systematically differs between forced and intrinsic systems — is not supported by statistical testing.   However, three robust findings emerge. First, the coupling indicator Φ consistently activates earlier than Fisher Information, providing a lead-time advantage of approximately 1.4–1.9× across most datasets, albeit with reduced discriminative precision. Second, Fisher Information exhibits substantially higher variability in performance, performing well in fold-type bifurcation systems but approaching random classification in acceleration-driven collapses. Third, indicator performance is better explained by the presence of an internal fold attractor and the direction of pre-collapse dynamics (deceleration versus acceleration) than by the conventional forced versus intrinsic classification.   Based on these findings, we propose a refined 2×2 mechanism taxonomy that links system dynamics to optimal indicator selection. Within this framework, coupling-based indicators act as distal early warning signals capturing structural synchronization, while stability-based indicators provide proximal, high-precision detection near the transition point. A composite indicator (CRTI-2) is evaluated as a mechanism-agnostic compromise, demonstrating stable intermediate performance across all datasets.   The results demonstrate that early warning signals are not universally transferable across collapse mechanisms. Instead, effective monitoring requires mechanism-aware indicator selection and explicit consideration of the trade-off between early detection and predictive precision. These findings have implications for ecological monitoring, complex systems diagnostics, and the design of early warning frameworks in heterogeneous dynamical environments.     early warning signals, regime shifts, critical transitions, ecological systems, Fisher Information, cross-correlation, coupling, autocorrelation, bifurcation theory, resilience, complex systems, regime shift detection, multivariate time series, system dynamics, collapse prediction

Zenodo
Bernd von Mallinckrodt 🦋Mar 21
Wenn #Systeme #Opportunismus belohnen, ist das kein moralisches Problem, sondern ein strukturelles Muster. Genau solche Dynamiken lassen sich messen … z. B. über Kopplung (Φ) als Frühindikator für Instabilität: doi.org/10.5281/zeno... #CRTI

Mechanism-Dependent Performanc...
Mechanism-Dependent Performance of Early Warning Signals: A Multi-Dataset Comparison of Coupling (Φ), Fisher Information, and Composite Indicators

This study evaluates the performance of early warning signals (EWS) for ecological regime shifts across multiple datasets with distinct underlying collapse mechanisms. While early warning indicators such as lag-1 autocorrelation and Fisher Information have often been treated as broadly applicable, their reliability under mechanistically heterogeneous conditions remains insufficiently understood.   We test a mechanism-dependent hypothesis comparing coupling-based indicators (Φ, mean absolute cross-correlation) with stability-based indicators (Fisher Information, AR1) across five ecological datasets, including both externally forced transitions and intrinsically driven bifurcations. The primary hypothesis — that indicator performance systematically differs between forced and intrinsic systems — is not supported by statistical testing.   However, three robust findings emerge. First, the coupling indicator Φ consistently activates earlier than Fisher Information, providing a lead-time advantage of approximately 1.4–1.9× across most datasets, albeit with reduced discriminative precision. Second, Fisher Information exhibits substantially higher variability in performance, performing well in fold-type bifurcation systems but approaching random classification in acceleration-driven collapses. Third, indicator performance is better explained by the presence of an internal fold attractor and the direction of pre-collapse dynamics (deceleration versus acceleration) than by the conventional forced versus intrinsic classification.   Based on these findings, we propose a refined 2×2 mechanism taxonomy that links system dynamics to optimal indicator selection. Within this framework, coupling-based indicators act as distal early warning signals capturing structural synchronization, while stability-based indicators provide proximal, high-precision detection near the transition point. A composite indicator (CRTI-2) is evaluated as a mechanism-agnostic compromise, demonstrating stable intermediate performance across all datasets.   The results demonstrate that early warning signals are not universally transferable across collapse mechanisms. Instead, effective monitoring requires mechanism-aware indicator selection and explicit consideration of the trade-off between early detection and predictive precision. These findings have implications for ecological monitoring, complex systems diagnostics, and the design of early warning frameworks in heterogeneous dynamical environments.     early warning signals, regime shifts, critical transitions, ecological systems, Fisher Information, cross-correlation, coupling, autocorrelation, bifurcation theory, resilience, complex systems, regime shift detection, multivariate time series, system dynamics, collapse prediction

Zenodo
Bernd von Mallinckrodt 🦋Mar 21
Wenn #Systeme #Opportunismus belohnen, ist das kein moralisches Problem, sondern ein strukturelles. Und vielleicht beginnt genau hier die Frage, wie stabil ein System wirklich ist. #CRTI 🖖
Bernd von Mallinckrodt 🦋Mar 21
Wenn #Opportunismus zur Norm wird, ist das dann ein Charakterproblem … oder ein System, das Anpassung über Resonanz stellt? Und was passiert mit einem System, wenn genau diese Logik langfristig seine Stabilität untergräbt?🖖
Bernd von Mallinckrodt 🦋Mar 21
Ist es Stärke oder bloße Bequemlichkeit, wenn #Opportunismus belohnt wird … und wann beginnt eine Gesellschaft wieder #Integrität über Anpassung zu stellen? Hat die 🇩🇪 deutsche Gesellschaft ein #EgoismusProblem? 🖖
Show threadPapageierMar 8
@ntv Oder soll man es doch mal wieder mit #Liberalismus statt #Opportunismus probieren?
TroelleMar 4
Farbe u. Haltung bekennen, konsequentes Denken u. Handeln, für das eigene Leben, Entscheidungen, Verantwortung zu übernehmen, klar u. deutlich für das Gewissen einzustehen und zu sprechen, scheint irgendwie nicht Zeitgeist zu sein. Das war einst die Hoffnung, wenn es einer grossen Zahl Bürger:innen gut geht.
#Demokratie #Gesellschaft #Existenzialismus #Freiheit #Opportunismus #Gewissen
NachteuleBerlinMar 3

Das ist ja wohl oberpeinlich ^^
'König Donald von eigenen Gnaden' lässt seine Schleppenträgerin den UN-Sicherheitsrat leiten und macht damit die gesamte Institution lächerlich.
Man beugt das Haupt vor diesem Pipanz ...
#feudalismus
#opportunismus

https://www.tagesschau.de/ausland/melania-trump-un-sicherheitsrat-100.html

Melania Trump leitet Sitzung im UN-Sicherheitsrat

Selten tritt Melania Trump, die First Lady der USA, politisch in Erscheinung. Das änderte sich nun. In New York leitete sie eine Sitzung des UN-Sicherheitsrates zu Kinderrechten. Ihr Auftritt sorgte für Kritik, wurde aber auch gelobt.

tagesschau.de
GöttergattinnengatteFeb 28

Eine Gaslobbyistin stellt sich gegen erneuerbare Energien. So weit so erwartbar. Warum aber wurde dieses 1a-Korruptionsmodell überhaupt zugelassen bzw. Imatalliert? Ist es am Ende möglich, dass sich Hr. Merz und die #CDU einen Scheißdreck um die Bewohnbarkeit des Planeten und die Bedürfnisse der Einwohner in Deutschland kümmern? Dass sie einzig und allein an den eigenen Vorteil, den sie aus ihrer Regierungsätigkeit ziehen, denken?

#CDU #Merz #Reiche #Korruption #Opportunismus