Logicalization against the Victims of Late-Stage Capitalism

The application of a cold, algorithmic logic—often borrowed from Silicon Valley "disruption" playbooks or financial models—to "prove" that the victims of late-stage capitalism are illogical anomalies. It uses the internal metrics of the system (engagement rates, shareholder value, scalability) to construct syllogisms where any human need or community stability that interferes with optimization is deemed inefficient and thus invalid.

Logicalization against the Victims of Late-Stage Capitalism Example: "Premise 1: A business must maximize growth and market share. Premise 2: Our driverless delivery service does this by eliminating 10,000 driving jobs. Premise 3: Those drivers now have time to 'upskill' or pursue the gig economy. Conclusion: Therefore, this displacement is a logical net positive for human potential." This logicalization uses the system's own pathological priorities as first principles, defining human devastation as a rational step in a computation.

by Abzugal February 8, 2026

Logicalization against the Victims of Anti-communism

The application of a cold, pseudo-logical deduction to argue that victims of anti-communist persecution were, in fact, architects of their own fate. It constructs syllogisms based on the premise that communism is an inherent threat, therefore anyone associated with it logically forfeited their rights or safety. It frames persecution as a predictable, even legally sound, consequence of the victim's own ideological choices.

Logicalization against the Victims of Anti-communism Example: "Premise 1: The Communist Party advocated for the overthrow of the government. Premise 2: You were a member or sympathizer. Conclusion: Therefore, your blacklisting, deportation, or imprisonment was not persecution, but a logical and legal consequence of your subversive allegiance." This logicalization uses a political premise as an axiomatic truth to "prove" that victims were not wronged, but merely experienced the logical outcome of their own dangerous beliefs.

by Abzugal February 8, 2026

Logification Bias

The error of believing that making something sound logical—by structuring it with "therefore," "because," and "it follows that"—is the same as it being logical or true. It confuses the aesthetic of logic with its substance.

Example: A conspiracy theory that begins, "Based on publicly available data, we can deduce the following sequence..." and then lays out a chain of connected-sounding but evidence-free assertions. The logification bias leads people to accept it because it feels logical in its presentation, bypassing critical evaluation.

by Dumu The Void February 9, 2026

Logification of Evil

The specific process of using formal logic and systems thinking to structurally encode oppressive principles into laws, algorithms, or policies. It is evil made operational, efficient, and automated—not just rationalized after the fact, but built into the very logic of a system.

Example: A predictive policing algorithm that labels neighborhoods as "high risk" based on historic arrest data. The logification of evil occurs because the logic is formally sound (arrest data predicts future arrests), but it systemically reinforces the original racist policing that generated the data, embedding discrimination into code.

by Dumu The Void February 9, 2026

Logical Ping-Pong Game Bias

The tendency of a debate to devolve into a rapid, sterile exchange of formal logical charges ("straw man!" "non sequitur!" "ad hominem!") where scoring points on procedural grounds replaces engagement with substance. The "bias" is towards valuing the form of the argument as a game, making it impossible to discuss the underlying issue.

Logical Ping-Pong Game Bias Example: Two people debating economics rapidly descend into: "That's an anecdotal fallacy!" "You're attacking a straw man of my position!" "Your premise is circular!" The discussion dies as they become referees of a logical ping-pong game, more focused on catching each other's rhetorical fouls than on understanding the economic policy.

by Dumu The Void February 9, 2026

Logical Bias

The fallacy of believing that a conclusion derived from a formally valid logical structure is necessarily true or meaningful in the real world. This bias venerates the syntactic correctness of an argument while being blind to the factual inaccuracy of its premises or its deliberate abstraction from reality. Perfect logic, perfectly wrong.

Example: "Premise 1: All birds can fly. Premise 2: A penguin is a bird. Conclusion: Therefore, penguins can fly." The logical bias is the insistence that the airtight logic of the syllogism somehow challenges biological reality, or that pointing out the false premise is "cheating" at the logical game. Form is prized over substance.

by Dumu The Void February 9, 2026

Logical Double Standards

The meta-fallacy of applying different logical standards to different participants in a discussion, typically demanding impeccable reasoning from your opponent while allowing yourself hand-waving, gut feelings, and outright contradictions. Logical double standards are the rhetorical equivalent of a tennis match where one player's shots must land inside the lines and the other's can land anywhere in the county. This fallacy is how someone can demand "proof" for climate change while accepting election fraud claims based on a single Facebook post, or require their opponent to cite peer-reviewed studies while offering their own opinions as self-evident truth. The double standard is invisible to the person wielding it, which is what makes it so effective and so infuriating.

Example: "The logical double standards were staggering. She had to provide sources for every claim; he could say 'everyone knows' and it was accepted. She had to address every point; he could ignore hers and repeat his. When she pointed out the double standard, he said that was just her opinion. The standards weren't double; they were whatever allowed him to feel right."

by Dumu The Void February 15, 2026