The lab’s research draws on a broad range of the methods employed across psychology, philosophy, linguistics, and computer science to better understand questions about how humans think both about the actual world and about non-actual possibilities (sometimes called “possible worlds”). We explore both how people think about possibilities themselves and how that influences the way that they think more generally, from the language they use, to the causal and moral judgments they make.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

831 to 840 of 920 Results
Adobe PDF - 127.3 KB - MD5: 922e25975b8fb2effe0ee8187399571f
Unknown - 5.8 KB - MD5: 2099efee1a167734c39d5d8b763777ba
Tabular Data - 9.7 KB - 9 Variables, 96 Observations - UNF:6:GVLXZP1yREOc01WBn4SIyA==
Tabular Data - 13.6 KB - 9 Variables, 128 Observations - UNF:6:axa7Vyy/uLsoSwcI44H0Ww==
Nov 19, 2020 - Harvard Dataverse
Phillips, Jonathan; Kominksy, Jonathan, 2020, "Causation and norms of proper functioning: Counterfactuals are (still) relevant", https://doi.org/10.7910/DVN/4UTHKY, Harvard Dataverse, V1, UNF:6:rU68RFoqjMhChXIaHEmHRg== [fileUNF]
Causal judgments are well-known to be sensitive to violations of both moral and statistical norms. There is ongoing discussion as to whether both effects are best explained through changes in the relevance of counterfactual possibilities, or if moral norm violations should be independently ex- plained through a potential polysemy whereby ‘cause’ ma...
R Syntax - 26.7 KB - MD5: a8ae26ab5afbf057c61b7cd9f8fb2a53
Adobe PDF - 234.4 KB - MD5: 2ace37ed729d6de6a15cebc4d594c501
MS Word - 28.1 KB - MD5: b8cdbc9d7627ce9011f007a3b16d916b
Tabular Data - 42.8 KB - 21 Variables, 869 Observations - UNF:6:2kk9rL8CU1vOnfh/lhSI0Q==
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.