Avocado Guilt

The guilt you feel when you owe a friend an avocado

I told Olivia not to worry about paying back an unripe avocado for a ripe avocado. But she said that avocado guilt would keep her up at night.

Avocado Guilt by The Moose Farmer February 15, 2026

Vhiny-Guilley

the coolest guy ever

you're such a Vhiny-guilley

Vhiny-Guilley by qwertyhjk May 4, 2026

Formal Guillotine

A modern variant of Hume’s Guillotine—the principle that one cannot derive an “ought” from an “is.” The Formal Guillotine extends this separation to data, evidence, proof, and science, isolating them from their social, political, economic, linguistic, and constructed contexts. It insists that facts must be presented as pure, context‑free objects, stripped of any value‑laden or situated meaning. This guillotine is widely wielded in analytical philosophy and positivist‑adjacent fields to dismiss critiques that link scientific findings to power or ideology, claiming that such linkages are “extra‑scientific.” It effectively sanitises knowledge by severing its roots in human society.

Example: “When she pointed out that the study was funded by an oil company, he invoked the formal guillotine: ‘That’s a political claim, not a scientific one. The data stand alone.’”

Formal Guillotine by Abzugal May 22, 2026

Statistical Guillotine

A modern variant of Hume’s Guillotine, applied to statistics: it forcibly separates statistical findings from the social, political, and methodological choices that produced them. Under the Statistical Guillotine, numbers are treated as pure, self‑evident facts—independent of how they were collected, which questions were asked, what was excluded, and how uncertainty was framed. This allows advocates to say “the statistics speak for themselves” while ignoring that statistics are always constructed through human decisions. The guillotine is often used to shut down critiques of data quality or relevance, claiming that any discussion of context is “unscientific” or “political.”

Example: “When she questioned the survey’s sampling method, he invoked the statistical guillotine: ‘The numbers are the numbers, stop politicising them.’ He refused to see that the numbers were political from the start.”

Statistical Guillotine by Abzugal May 22, 2026

Data Guillotine

A specific form of the Formal Guillotine that severs data from its conditions of production. It treats data as pure, objective recordings of reality, ignoring that data are always cleaned, filtered, transformed, and interpreted by human agents. The Data Guillotine is wielded to dismiss critiques about data provenance, missing values, measurement error, or researcher degrees of freedom. By declaring that “the data don’t lie,” it hides the countless small choices that turn raw observations into “data.” This guillotine is common in big data and AI circles, where data is fetishised as neutral fuel.

Example: “He insisted the dataset was ‘just facts,’ ignoring that it had been scraped from a forum with known demographic biases. The data guillotine had cut away all context.”

Data Guillotine by Abzugal May 22, 2026

Demarcation Guillotine

A sharp separation between “science” and “non‑science,” used to dismiss entire fields or practices as illegitimate. It draws a clean line based on a single criterion (e.g., falsifiability, empiricism, peer review) and then uses that line to exclude anything that doesn’t fit. The Demarcation Guillotine ignores the messy, contested history of demarcation and the fact that many legitimate disciplines (history, mathematics, design) don’t meet strict criteria. It is a favourite tool of scientistic debaters who want to purge “pseudoscience” without engaging with its content.

Example: “He declared that psychoanalysis was unscientific because it wasn’t falsifiable, and therefore worthless. The demarcation guillotine: one swing of the criterion, and an entire tradition is decapitated.”

Demarcation Guillotine by Abzugal May 22, 2026

Evidence Guillotine

A variant of the Formal Guillotine that separates evidence from its interpretation, provenance, and context. It treats evidence as self‑contained, objective entities that directly support or refute claims without need for interpretive frameworks. The Evidence Guillotine is used to demand that opponents “just look at the evidence” while refusing to discuss how evidence is selected, weighted, or contested. It ignores that what counts as evidence, and how much weight it carries, is always a matter of community standards and theoretical assumptions.

Example: “He presented a single study as definitive proof. When she pointed out publication bias and conflicting research, he replied ‘the evidence is right here.’ Evidence guillotine: slicing away the messy context of scientific debate.”

Evidence Guillotine by Abzugal May 22, 2026