trustme.bro/r/…
✓ checked
trust me, bro:
here is the receipt.
the claim
Including endogenous control variables in a regression model leads to biased and inconsistent coefficient estimates.
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
3 sources for · 0 against

Regression models that incorporate endogenous control variables suffer from conditioning and selection biases, which compromise the validity of the coefficient estimates.

Evidence for · 3
Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable.
2014 · cited by 297
Hernán et al. (2014) explain how conditioning on endogenous intermediate variables (colliders) introduces selection bias.
See more details
The analysis

The retrieved papers [0], [1], and [2] all explicitly discuss how conditioning on endogenous control variables (such as colliders or variables influenced by treatment) introduces bias and inconsistency into regression models. There are no refuting papers in the provided set.

More for · 2
Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables
2008 · cited by 46
Lechner and Mareckova (2008) discuss how control variables that are themselves endogenous cause inconsistency in standard regression estimators.
A Note on Endogenous Control Variables in Evaluation Studies
2005 · cited by 1
Frölich (2005) notes that standard exogeneity assumptions are obscured when conditioning on control variables influenced by treatment.
The paper trail · every fact has a biography
first checked04 Aug 2026
judged → SUPPORTED · 9004 Aug 2026
This receipt carries no identity, shared or not. Sharing publishes your connection to it, not your data.
Check your own claim
Challenge the receipt
trust me, bro: win the argument, pass the class, survive peer review.
This receipt is an automated verdict against our published method · not an opinion about any author or publication.
Terms · Privacy · How verdicts work · Dispute this receipt