"If, for example, community transmission is high, and you're at personal high risk because you are immunocompromised, or live with someone who is, or want to visit someone who is, or you have underlying health conditions, you might make the decision not to go to the event because it's too much risk." (Featuring: Souleles, David)

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"When we see states trying to interfere with people being able to leave to get to freedom — oh, my goodness, we’ve seen that before,” (Featuring: Goodwin, Michele)

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" The document indicated that the justices would overturn the landmark Roe v. Wade decision and allow US states to ban abortion. Clare Richardson spoke about the draft and its implications with Michele Goodwin, a [Chancellor's] Professor of law at UC Irvine." (Featuring: Goodwin, Michele)

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"Let's keep in mind that people who were kidnapped and sexually exploited and brought to these lands were forced into coerced reproduction." (Featuring: Goodwin, Michele)

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"We should remember that a person is 14 times more likely to die by carrying a pregnancy to term than by terminating it. And given that this has been part of Supreme Court jurisprudence and record just a few years ago in Whole Woman's Health, then this is a deadly decision." (Featuring: Goodwin, Michele)

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"Women are already coming from the state of Texas to California to terminate pregnancies." (Featuring: Goodwin, Michele)

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"We saw the culture wars of the 1980s, but no longer with blood being shed in the streets or with people in mass protests in front of the White House," (Featuring: Goodwin, Michele)

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"The larger issue that we should all be alarmed by is the sliding back of the US democracy, the dismantling of the rule of law, the slipperiness that now has been invoked within the court in terms of precedent … having very little meaning,"

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"What we’ve seen before is when cases go up in the northeast, they go up," (Featuring: Noymer, Andrew)

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“Our study highlights the importance of interdisciplinary investigations to better understand the protective effect of aspirin seen in epidemiological data, combining evolutionary biology and computational approaches with traditional molecular and experimental approaches”, (Featuring: Woodarz, Dominik)

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