Predictors of voter support for the legalization of recreational cannabis use and supply via a national referendum.

BACKGROUND: A national referendum to legalise recreational cannabis use and supply in New Zealand via the Cannabis Legalisation and Control Bill (CLCB) was recently narrowly defeated. Understanding the underlying factors for this result can inform the cannabis legalisation debate in other countries. AIMS: To investigate predictors of voter support for and opposition to the CLCB. METHOD: A representative population panel of 1,022 people completed an online survey of intended voting on the CLCB referendum, which included questions on demographics, drug use history, medicinal cannabis, perceptions of the health risk and moral views of cannabis use, political affiliation, religiosity, community size and reading of the CLCB. Regression models were developed to predict support for the CLCB, with additional predictor variables added over successive iterations. RESULTS: The most robust predictors of support for the CLCB were use of and policy support for medicinal cannabis use, voting for a left-wing political party, having a positive moral view of cannabis use, living in a small town and having read the CLCB. Predictors of opposing the CLCB were voting for right-wing parties, considering "frequent" cannabis use to be a high health risk, and lifetime use of other drugs. Age, ethnicity, education, employment status, religiosity and lifetime cannabis use were not significant predictors after controlling for other variables. CONCLUSIONS: Support for cannabis legalization was not based on broad demographics, but rather specific views concerning the medicinal benefit, morality of cannabis use, health risk of frequent cannabis use, political party affiliation, and knowledge of the proposed regulatory controls of the CLCB. The influence of moral views of cannabis use on voting behaviour suggest the need to debate the right to use cannabis. The importance of knowledge of the proposed regulatory controls of the CLCB on voting underlines the need to raise awareness of proposed regulatory controls during debate.

The shape and tempo of language evolution.

There are approximately 7000 languages spoken in the world today. This diversity reflects the legacy of thousands of years of cultural evolution. How far back we can trace this history depends largely on the rate at which the different components of language evolve. Rates of lexical evolution are widely thought to impose an upper limit of 6000-10,000 years on reliably identifying language relationships. In contrast, it has been argued that certain structural elements of language are much more stable. Just as biologists use highly conserved genes to uncover the deepest branches in the tree of life, highly stable linguistic features hold the promise of identifying deep relationships between the world's languages. Here, we present the first global network of languages based on this typological information. We evaluate the relative evolutionary rates of both typological and lexical features in the Austronesian and Indo-European language families. The first indications are that typological features evolve at similar rates to basic vocabulary but their evolution is substantially less tree-like. Our results suggest that, while rates of vocabulary change are correlated between the two language families, the rates of evolution of typological features and structural subtypes show no consistent relationship across families.