Secret Spending in the States

Six years after Citizens United enabled unfettered spending in our elections, the use of so-called dark money has become disturbingly common. Contrary to the Supreme Court's assumption that this unlimited spending would be transparent to voters, at the federal level powerful groups have since 2010 poured hundreds of millions of dollars into influencing elections while obscuring the sources of their funding. But it is at the state and local levels that secret spending is arguably at its most damaging. For a clear understanding of the degree to which dark money is warping American democracy, state ballot referenda and local school board contests may be a better starting point than the presidential campaign or even congressional races. As Chris Herstam, a former Republican majority whip in the Arizona House of Representatives and now lobbyist, put it, "In my 33 years in Arizona politics and government, dark money is the most corrupting influence I have seen."This report documents how far outside spending -- election spending that is not coordinated with candidates -- at the state and local levels has veered from the vision of democratic transparency the Citizens United Court imagined, drawing on an extensive database of news accounts, interviews with a range of stakeholders, campaign finance and tax records, court cases, and social science research. For the first time, it also measures changes in dark money – and a thus far unrecognized rise in what we term "gray money" – at the state level, by analyzing spender and contributor reports in six of nine states where sufficient usable data were available. This set of six geographically and demographically diverse states, comprising Alaska, Arizona, California, Colorado, Maine, and Massachusetts, represents approximately 20 percent of the nation's population.

Heritable Stochastic Switching Revealed by Single-Cell Genealogy

The partitioning and subsequent inheritance of cellular factors like proteins and RNAs is a ubiquitous feature of cell division. However, direct quantitative measures of how such nongenetic inheritance affects subsequent changes in gene expression have been lacking. We tracked families of the yeast Saccharomyces cerevisiae as they switch between two semi-stable epigenetic states. We found that long after two cells have divided, they continued to switch in a synchronized manner, whereas individual cells have exponentially distributed switching times. By comparing these results to a Poisson process, we show that the time evolution of an epigenetic state depends initially on inherited factors, with stochastic processes requiring several generations to decorrelate closely related cells. Finally, a simple stochastic model demonstrates that a single fluctuating regulatory protein that is synthesized in large bursts can explain the bulk of our results