sarah murabito

A good friend and hard worker. Likes a good challenge. Is very loyal and loves giving to less fortunate people.

sarah murabito

by thetruegeo January 7, 2014

Maxi Meraki

Never standing still, putting his heart and mind in his creative (musical) work.

Maxi is also just as fresh as the soap brand 'Meraki'.

It's 4 o'clock somewhere, let's have drinks and put on some tunes of Maxi Meraki.

by Maximeraki November 22, 2021

Cognitive Metabiases

Biases about biases themselves. These are systematic errors in how we perceive, judge, and attempt to correct for cognitive biases in ourselves and others. A key example is the Bias Blind Spot—the meta-bias of believing you are less biased than other people. Cognitive metabiases are why "knowing about biases" doesn't cure them; it often just gives you more sophisticated tools for self-deception.

Example: A CEO reads about groupthink and then vigilantly points it out in every team meeting, seeing dissent as healthy. However, they are blind to their own Cognitive Metabiases: their overconfidence bias in their ability to detect bias, and their reactance to any criticism, which they now dismiss as just "the team avoiding groupthink."

by Abzugal Nammugal Enkigal February 4, 2026

Logical Metabiases

Biases in how we select, apply, and trust different systems of logic themselves. This is a bias about your philosophical toolbox. For instance, a preference for crisp, binary logic (true/false) in situations requiring fuzzy or probabilistic reasoning, or the bias of dismissing an entire line of argument because it uses a logical framework (e.g., dialectics, abduction) you're not comfortable with.

Logical Metabiases Example: An engineer, steeped in deterministic, Boolean logic, dismisses a sociologist's dialectical analysis of social change as "illogical." This is a Logical Metabias. The engineer is biased against a whole form of reasoning appropriate for complex, contradictory systems, falsely believing their own logical paradigm is universally supreme.

by Abzugal Nammugal Enkigal February 4, 2026

Metalogical Metabiases

Biases in how we think about metalogical choices and the very criteria we use to judge logical systems. It's bias two levels up. For example, valuing aesthetic elegance or psychological comfort over practical utility when deciding which logical framework to adopt for describing the world. It's the irrational driver behind your rational choice of rationality tools.

Metalogical Metabiases Example: A physicist prefers string theory over loop quantum gravity not due to empirical data (there is none), but because of a Metalogical Metabias: they find its mathematical beauty and conceptual unity more compelling. The bias is in the meta-criterion ("beauty") used to choose between competing metalogical frameworks for quantum gravity.

by Abzugal Nammugal Enkigal February 4, 2026

NPOV Metabias

The higher-order, community-wide belief that the NPOV policy is a self-contained solution to the problem of bias, and that Wikipedia's processes are therefore inherently corrective. This metabias leads to institutional complacency, where systemic gaps in coverage (e.g., lack of female or Global South subjects) are explained away as "a lack of available editors," rather than seen as failures of the NPOV framework to attract and retain a diverse contributor base. It's a bias about the efficacy of the anti-bias tool.

Example: When confronted with overwhelming data on Wikipedia's gender gap in biographies, a senior Wikipedian argues, "NPOV means we just report what reliable sources say. If newspapers wrote more about women, we would too." This NPOV Metabias treats the policy as a perfect filter, blaming upstream sources for downstream representation problems, and absolving the community of any proactive responsibility to counter societal bias.

by Abzugal Nammugal Enkigal February 4, 2026

Cognitive Metabiases of Wiki

Biases in how the Wikipedia community collectively thinks about the cognitive biases present in the wiki system. These are flawed assumptions or beliefs regarding the nature and remediation of bias on the platform. A prime example is the Bias Neutralization Fallacy: the belief that the collective, consensus-driven editing process inherently cancels out individual cognitive biases, akin to a "wisdom of the crowd" effect for truth. This metabias ignores how systemic biases (like contributor demographics) can be reinforced, not mitigated, by group consensus. Another is the Source Fetishism Metabias, where the community believes that any statement backed by a "reliable source" is therefore free from cognitive bias, ignoring the biases embedded within the media and academic publishing industries themselves.

Cognitive Metabiases of Wiki Example: When faced with criticism that Wikipedia's coverage of feminist theory is skewed, a longtime administrator responds, "Our NPOV policy and reliance on peer-reviewed journals correct for any individual editor's bias." This reflects a Cognitive Metabias of Wiki. They assume the process (policy + academic sourcing) is a perfect antidote to bias, failing to see that the pool of academic sources itself may have a systemic bias, and that the consensus of a homogenous editor pool can amplify, not correct, that skew.

by Abzugal Nammugal Enkigal February 4, 2026