Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.

Ex Input:
"The release of a video showing NFL running back Ray Rice striking his now-wife in an Atlantic City, N.J., casino elevator revived conversations about domestic violence on the Sunday shows. On the Sept. 14,2014, edition ofCNN's State of the Union, Sen. Amy Klobuchar, D-Minn., shared an anecdote from her time as a prosecutor to illustrate the ills of domestic violence. ""We had a poster outside the door so everyone would see it when they came in. It was a picture of a woman beaten up with a Band-Aid over her nose, holding a little baby boy,"" Klobuchar said. ""And the words read, 'Beat your wife, and it's your son that goes to jail.' "" ""Kids that have seen it happen,"" Klobuchar said, are ""twice as likely to commit it themselves."" Klobuchar concluded that because the NFL puts ""out their players as role models,"" they have ""to set a different culture."" We were interested in checking Klobuchar's claim that kids who witness domestic violence are ""twice as likely to commit it themselves."" 90's kids We want to be clear upfront that witnessing domestic violence means witnessing it in a child's household -- not watching the TMZ.com Rice video. That said, the ""twice as likely"" talking point is fairly popular among advocates against domestic abuse, and suffice to say has been around for a while. The domestic violence literature we've seen often cited that claim with a 1990 book called ""Physical Violence in American Families: Risk Factors and Adaptations to Violence in 8,145 Families."" This book compiled the results of the landmark National Family Violence Surveys of 1975 and 1985, which constituted 60-minute face-to-face interviews and 30-minute phone interviews, respectively, with thousands of American families. Based on those interviews, the book's authors illustrated how a variety of factors influenced the incidence of domestic violence. Most of the book is about gender differences and roles in domestic violence, but the section on the effects on children crunches the surveys' numbers on whether abusers said they witnessed abuse as children. That produced the ""twice as likely"" estimate. The experts we talked to told us there hasn't been any study as definitive or comprehensive since, although other studies have taken stabs at the issue of intergenerational transmission of domestic violence. ""We've known for such a long time that the biggest risk factor for being abusive against wives and children is witnessing domestic violence at home or being abused,"" said Jacquelyn Campbell, a professor at the Johns Hopkins School of Nursing who studies domestic violence. So ""people haven't repeated the research for a while,"" Campbell said, and ""a lot of stuff is old and mostly cross-sectional."" What the existing literature says Campbell pointed us to a 2010 study about intimate partner violence -- a subset of domestic violence -- which found that children who witnessed any intimate partner violence were 2.6 times as likely to perpetrate it themselves. Children who witnessed any violence were 1.6 times as likely, according to the study, to become abusers as adults. Klobuchar's claim, then, has grounds in literature both old and new. There are literally dozens of studies on this issue, though, and different studies tell different stories. A 2000 meta-analysis of 39 different studies on this issue found a ""small-to-medium"" correlation between witnessing and perpetrating. The studies in that survey, while a couple decades old, ranged from showing a causal relationship between witnessing and perpetrating to showing no relationship at all. That corroborates Klobuchar's larger point that parents' domestic violence has negative outcomes for their children, but that's not the same as these kids being ""twice as likely to commit it themselves."" Difficulties with measurements Putting numbers on domestic violence is particularly hard, and perhaps even inappropriate, said Ruth Glenn, executive director of the National Coalition Against Domestic Violence. ""I wouldn't say twice as likely,"" said Glenn. ""So I would say that it is an additional risk factor. I get nervous when we start to assign data, because there's not enough data to support it. Domestic violence happens in families, and each of those families are individual units."" In other words, there's enough out there to suggest that children who witness domestic violence are more likely to perpetrate it, but saying something as precise as ""twice as likely"" is difficult. Domestic violence is ""hard to measure for various and sundry reasons,"" said Glenn, from the lack of ""good data"" on who's charged and convicted of domestic violence to confidentiality issues with its victims. And even when researchers can get affirmative data, there are methodological concerns. The studies about children who witness domestic violence often surveyed clinical populations -- meaning those with family issues, so a non-representative sample -- and ask respondents to self-report and to retroactively report. Extricating domestic violence from other family issues -- like mental health and substance abuse -- is also difficult, according to the studies Campbell referred us to. Our ruling Klobuchar, arguing that the NFL has a responsibility to hold its ""role models"" accountable to a ""different culture,"" said that kids who witness domestic violence in their households are ""twice as likely to commit it themselves."" There are legitimate, peer-reviewed studies that bear Klobuchar's claim out. But overall, even though there's a consensus that witnessing domestic violence puts kids at a greater risk for perpetrating it themselves, the precise figures differ. Measuring domestic violence is very difficult for a variety of reasons, and there hasn't been a recent, comprehensive study. So saying these kids are ""twice as likely to commit"" domestic violence is a little too precise."

Ex Output:
"Children who witness domestic violence are ""twice as likely to commit it themselves."

Ex Input:
"Coronavirus infections are on the rise in Texas, with some areas experiencing a more dramatic increase than others. In Central Texas, Austin and its surrounding counties have reported an increase in the number of confirmed cases of COVID-19 and hospitalizations. Hays County, which sits to the south of Austin, has been hit particularly hard. On June 19, the county reported more active cases than Austin's Travis County a remarkable feat considering that Travis County's population is five times that of Hays County. U.S. Rep. Lloyd Doggett, a Democrat whose district includes parts of both counties, shared two tweets about the Austin area, including one highlighting the impact of the virus in Hays County. ""Hays County is one of the only places in Texas with more trouble: an incredible 845% increase in cases since June 7,"" he wrote. There's no question Hays County has experienced a dramatic increase in the number of COVID-19 cases, but is Doggett's figure accurate? Hays County increase tied to activities In response to a question from PolitiFact Texas, Hays County spokeswoman Kim Hilsenbeck shared a press release outlining the impact of the coronavirus in the county since the onset of the pandemic. During April and early May when local and statewide orders to stay at home were in place the number of new daily cases in the county ranged from zero to ten. In late April, Gov. Greg Abbott initiated the first phase of a plan to reopen the state's economy and allowed the statewide stay-at-home order to expire. He also allowed restaurants, retail stores, malls and movie theaters to reopen at limited capacity. In subsequent phases, Abbott allowed barbershops and salons to reopen with limited capacity and other restrictions. He also allowed rivers, parks and other natural areas to reopen. County health officials said they believe the gradual reopening of businesses might have contributed to an increase in COVID-19 cases. ""Through contact tracing, our health department staff were able to see the rapid increase in COVID-19 totals seemed to coincide with activities such as working at or going to restaurants and bars, activities such as floating the river, and attending large public gatherings,"" the release reads. Hilsenbeck also highlighted Mothers Day (May 10), Memorial Day (May 25) and protests against racism and police brutality as significant events in May. By the end of May and early June, the number of new cases in the county started to rise. On May 27 there were 18 new cases. On June 8, there were 43 new cases. More recently, the number of new daily cases in Hays County has ranged from 100 to 200. In April and May, the majority of new cases in the county were primarily in Kyle among people older than 30 who were Hispanic. But since early June, the group experiencing the largest increase in new COVID-19 cases is 20 to 29-year-olds in San Marcos. The number of people who identified as Hispanic has decreased. ""While not all 20-29-year-olds are college students, San Marcos has a large student population because of Texas State University, many of whom are now back in town following a period of virtual learning throughout the spring,"" the release reads. Examining data on new cases Doggett spokeswoman Kate Stotesbery said the figure he shared came from a graph published by an Austin-area television station. The graph shows the number of new coronavirus cases that have been reported each day in Hays County since April, plus a line showing the 14-day average of daily new cases. An arrow pointing upwards is overlaid on the graphic, with text on top that reads: ""845% 14-day average since June 7."" But Doggett's remark on Twitter is missing that detail that there has been an 845% increase in the 14-day average of new COVID-19 cases in the county since June 7. The increase in the actual number of cases is much higher. On June 7, the cumulative number of cases in the county was 385 and the number of new daily cases had been fluctuating. There were 24 new cases on June 2, 14 new cases on June 4 and zero new cases on June 7. By June 21, the cumulative count of cases in Hays County was 1,608, with 57 new cases reported that day. Looking at the 14-day average of new cases, it was 8 on June 7 and 87 on June 21. But the 7-day average is a more commonly used measurement by government agencies and news outlets to assess changes in the number of new cases in the area. The change in that figure during this period is substantially higher. Using weekly averages instead of daily tallies offers a more accurate picture of change over time, as it reduces the impact of daily spikes. From June 7 to June 21, Hays County experienced a roughly 1,569% increase in the 7-day average of new COVID-19 cases from 8 cases on June 7 to 134 on June 21. Our ruling Doggett said that Hays County had experienced ""an incredible 845% increase in cases since June 7."" Doggett was actually speaking about an increase in the 14-day average of new COVID-19 cases a less common measurement of the increase in COVID-19 cases in an area but his figure is accurate."

Ex Output:
Hays County in Central Texas has seen an "incredible 845% increase in (COVID-19) cases since June 7."

Ex Input:
The bulk of the money will come from Teva Pharmaceutical Industries Ltd. and its affiliates for paying to delay a generic narcolepsy drug, Provigil, from entering the market for nearly six years. Teva is paying $69 million, which Becerra says is the largest pay-for-delay settlement received by any state. Such agreements let the developer of brand name drugs keep their monopolies over the drugs after their patents expire, thereby letting them continue to charge consumers higher prices. The drug developer pays the generic manufacturer to keep the cheaper version of the drug from entering the marketplace for an agreed period of time. Teva said the money will come from a pre-existing fund that was created in 2015 as part of the company's settlement with the U.S. Federal Trade Commission over similar claims, and it will not make any additional payments. Becerra said such agreements can force consumers and the health care market to pay as much as 90% more than if there were generic alternatives. More than $25 million of the settlement will go to a consumer fund for California residents who purchased Provigil, Nuvigil or Modafinil between 2006 and 2012. "No one in America should be forced to skip or ration doses of medicine that they need ... and certainly not because a drug company is colluding to keep the price of your drug artificially high even when cheaper options could be available. But that's what's happening," Becerra said. The second, $760,000 settlement is with Teva, Endo Pharmaceuticals and Teikoku Pharma USA over keeping a genetic alternative to the pain patch Lidoderm from entering the market for nearly two years. Teva said it is paying $200,000 to cover the state's legal costs after settling similar federal claims earlier this year. Neither Endo nor Teikoku responded to requests for comment. Both settlements bar the companies from pay-for-delay agreements for several years. Teva is agreeing to not to enter any such agreements for 10 years, while Endo Pharmaceuticals has an eight-year agreement and Teikoku a 20-year injunction. Teva said the restriction is identical to its federal consent decree. Becerra also backed pending legislation, AB824 by Democratic Assemblyman Jim Wood of Santa Rosa, that would ban such agreements. The measure would require pharmaceutical companies to prove that their agreements are not anticompetitive. It passed the Assembly 56-0 in May and is awaiting a vote in the Senate. Pharmaceutical companies oppose the bill, arguing the Federal Trade Commission already does this monitoring. ___ This story has been corrected to say that while there are four settlement agreements, they involve only three companies.

Ex Output:
3 companies pay California $70 million for delaying drugs.