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Internal Variables

Factors originating within a system or study that influence outcomes and are, in principle, part of what the researcher is studying or should be controlling. In experimental design, internal variables include the treatment itself, participant characteristics, measurement procedures, and all the elements the researcher deliberately manipulates or measures. However, internal variables also include unintended factors: participant expectations (placebo effects), researcher expectations (experimenter bias), measurement error, and all the ways the study itself shapes its own results. Distinguishing intended internal variables from confounding internal variables is the fundamental challenge of research design.
Internal Variables Example: "They thought they were measuring the drug's effect, but the internal variable of participant expectation—they all knew they were getting the real drug—confounded everything. The improvement might have been pure placebo."
by Dumu The Void March 12, 2026
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General Variables

Broad, encompassing factors that influence outcomes across multiple contexts and studies—the kind of variables that every researcher knows they should consider but rarely can adequately measure. General variables include things like socioeconomic status, educational attainment, cultural background, historical period, and other massive forces that shape human life so pervasively they're almost invisible. In any specific study, general variables are noise to be controlled; across studies, they're the patterns that emerge when enough data accumulates. The challenge of general variables is that they're everywhere and nowhere—they influence everything but are rarely the focus of investigation.
General Variables Example: "Every study of educational outcomes finds socioeconomic status as a general variable—it predicts everything, explains a huge amount of variance, and is almost impossible to truly control for because it shapes every aspect of a child's life."
by Dumu The Void March 12, 2026
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Special Variables

Unusual, specific, or context-dependent factors that influence outcomes in particular situations but aren't generalizable across contexts. Unlike general variables (which appear everywhere), special variables are the idiosyncratic details that make replication difficult and prediction uncertain. In one study, a special variable might be the charisma of a particular teacher; in another, it might be a unique historical event that coincided with data collection. Special variables represent the irreducible particularity of real-world research—the fact that every study happens somewhere specific, at some specific time, with specific people, and those specificities matter.
Special Variables Example: "The intervention worked brilliantly in that school, but the special variable—a beloved principal who retired the next year—meant it could never be replicated. The magic wasn't in the program; it was in the person."
by Dumu The Void March 12, 2026
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A01 Variations

Trackmania Nations Forever maps that are recreations of the first map A01-Race. There is a server full of them and it is dominated by Team A01.
"Hop on A01 Variations"
by CA1EBYT July 3, 2025
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Late variables

When you commit to do something fun with your friends only to be told by your partner you have to change your plans.
Ken: are you still coming on the holiday we planned?
Dan: sorry, I’m experiencing late variables.
by Daniel O’Rourke August 1, 2025
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intermittent variable rewards

On social media platforms like YouTube, this term commonly abbreviated as IVRs refer to engagement metrics, such as likes, comments and subscriptions. For creators, this type of engagement can lead to more dopamine in the brain, resulting in a rush of pleasure and validation for their work.
The way his subscriber count kept climbing was all thanks to those intermittent variable rewards; every notification felt like a little win!
by Emotional Cruiser September 22, 2025
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isolate the variable

the act of focusing on an appealing portion of a person's body with a general disregard for the undesirable regions
Steve: Could you isolate the variable on that?
John: You know it. She's huge, but those are some mighty fine sweater cows.

Bill: You see that?!?!
James: You serious? She's hideous.
Bill: C'mon you gotta isolate the variable.
James: You right. She needs to turn back around though.
by tmack41 December 7, 2011
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