Correlation knowledge without causality is, for Hegel, primitive ignorance

Evidence

Hegel, the philosopher of Spirit, would deem the omniscience (All-Wissen) that Big Data promises to be absolute ignorance (Un-Wissen). Hegel’s Logic may also be read as the logic of knowledge. Here, correlation represents the most primitive level. A strong correlation between A and B means that if A changes, a change also occurs in B. But when a correlation holds – however strong it may be – one still does not know why this is the case. It just is that way. Correlation represents a relation of probability, not of necessity. — Byung-Chul Han, Psychopolitics, 159

Categorization

• XREF: connects to: Big Data is blind to the singular event that actually shapes history — Byung-Chul Han, Psychopolitics: Neoliberalism and New…, 176; Big data correlations alone cannot deliver causal knowledge to prediction systems — Shoshana Zuboff, The Age of Surveillance Capitalism, 930; Big Data’s correlational mode is displacing causal and spirit-driven knowledge — Byung-Chul Han, Psychopolitics: Neoliberalism and New…, 158 (+2 more)

Related

• Correlational knowledge lacks the necessity that causal knowledge requires (similarity 0.96)
• Correlations without an encompassing concept yield no real knowledge (similarity 0.91)
• Big Data’s correlational mode is displacing causal and spirit-driven knowledge (similarity 0.90)
• Big Data is blind to the singular event that actually shapes history (similarity 0.80)
• Big data correlations alone cannot deliver causal knowledge to prediction systems (similarity 0.79)

Broader Connections

• Big data correlations alone cannot deliver causal knowledge to prediction systems #expands (0.82) — Shoshana Zuboff, The Age of Surveillance Capitalism, 930