FantasySCOTUS
FantasySCOTUS: The Final Countdown and Final Predictions
Jun 24th
Monday, June 28, 2010 will be a day that will lives in SCOTUS fame for quite some time. At 10 a.m., the Supreme Court will hand down the remaining opinions in Bilski v. Kappos, Free Enterprise Fund and Beckstead and Watts, LLP v. Public Company Accounting Oversight Board, Christian Legal Society v. Martinez, and most importantly McDonald v. City of Chicago. Across the street at 12:30 p.m., Elena Kagan will begin her confirmation hearing. Supreme Court overload.
In this post, we provide final predictions for those four huge cases. Additionally, we will provide an overview of how accurate FantasySCOTUS predictions were for the cases decided in June, including Stop The Beach Renourishment v. Florida Department of Environmental Protection, Holder v. Humanitarian Law Project, City of Ontario v. Quon, New Process Steel v. National Labor Relations Board, and Doe v. Reed.
In Free Enterprise Fund, 67% predict the Supreme Court will affirm, and find that the Sarbanes-Oxley Act’s creation of accounting review board is constitutional. Based on the statistics, it looks it will be a unanimous decision. In Bilski 78% of our members are predicting that the Supreme Court will affirm the Federal Circuit. However, this seems to be one of the more lopsided contests, and the Justices are much more likely to be unanimous in this case than in Free Enterprise Fund. As I predicted, based on opinion assignments, Justice Stevens will likely write this one.
Predictions for McDonald and CLS after the jump at JoshBlackman.com.
FantasySCOTUS.net – Revisiting American Needle, Graham v. Florida, Comstock, and Berghuis
Jun 2nd
The Supreme Court is headed down the home stretch. Of the 86 cases argued during the October 2009 term, 59 have been decided and only 27 are remaining. While we are still waiting for results the biggest cases of the term, including McDonald v. Chicago, Christian Legal Society v. Martinez, and Doe v. Reed, the Supreme Court handed down several significant cases in May: American Needle v. NFL, Graham v. Florida, Carr v. United States, Berghuis v. Thompkins, United States v. Comstock, and Levin v. Commerce Energy. In this post we will revisit our predictions, and compare them to the outcomes We will use our standard measures to explain how confident we were of our decisions, and how accurate our forecasts were.
| Case | ANI | Graham | Carr | Berghuis | Comstock | Levin |
| Outcome | Reverse
37% |
Reverse 50% | Reverse 43% | Reverse 64% | Reverse 38% | Reverse 45% |
| Outcome CI | +/-10.71 % (99%) | NS | NS | +/- 10.86 % (95%) | +/- 11.86 % (99%) | NS |
| Correct Split | 24 | 23 | 10 | 16 | 10 | 7 |
| Roberts | 1.25 +/- .24 | 1.34 +/- .21 | 1.24 +/- .31 | 1.1 +/- .3 | 1.23 +/- .26 | 1.29 +/- .4 |
| Stevens | 1.84 +/- .38 | 1.09 +/- .19 | 1.39 +/- .38 | 1.26 +/- .42 | 1.74 +/- .4 | 1.52 +/- .5 |
| Scalia | 1.16 +/- .23 | 1.02 +/- .18 | 1.18 +/- .3 | 1.08 +/- .29 | 0.96 +/- .23 | 1.29 +/- .42 |
| Thomas | 1.05 +/- .22 | 1.03 +/- .18 | 1.1+/- .29 | 1.1 +/- .3 | 0.91 +/- .23 | 1.29 +/- .42 |
| Ginsburg | 1.86 +/- .38 | 1.08 +/- .19 | 1.58 +/- .4 | 1.48 +/- .46 | 1.67 +/- .39 | 1.35 +/- .47 |
| Breyer | 1.74 +/- .37 | 1.14 +/- .19 | 1.53 +/- .39 | 1.63 +/- .48 | 1.79 +/- .4 | 1.39 +/- .48 |
| Alito | 1.07 +/- .22 | 1.1 +/- .19 | 1.06 +/- .29 | 1.06 +/- .29 | 1.01 +/- .24 | 1.21 +/- .41 |
| Sotomayor | 1.92 +/- .38 | 1.21 +/- .2 | 1.42 +/- .38 | 1.48 +/- .46 | 1.76 +/- .4 | 1.22 +/- .45 |
American Needle, a significant antitrust case, asked whether or not the NFL and its member teams counted as one entity for the purposes of merchandise licensing. The court, in a unanimous decision, reversed the 7th Circuit’s ruling that they were one entity and exempt from the Sherman Antitrust Act. Only 37% of our members predicted the reversal, and out of approximately 200 predictions, 24 got the split correct also. The SMRs for the justices indicate there was going to be a consensus, even if the direction was wrong. One easy explanation is that the majority of users thought that baseball’s antitrust exemptions would be precedential instead of a characteristic peculiar to America’s Pastime. Even in that consideration however, there is not much of an opportunity for partisan division in this opinion, although our statistics do show that there was no particular support of monopolies among the different justices and ideologies.
Graham addressed whether or not a life sentence without parole was cruel and unusual punishment for a minor who committed non-homicide offenses. The court, in a 6-3 reversal, held that it was cruel and unusual punishment. Our members were in a dead heat between reversal and affirmation, meaning that our statistics were not conclusive one way or another. Only 23 users guessed the correct split, which is a larger percentage of total votes than in American Needle. However, our SMRs are useful in that they indicated Roberts might join in a decision with Kennedy and the liberal justices. As this case was very controversial and decisive, the ambiguity of our predictions in regards to the disposition is understandable, while our other statistics still provide useful information for predicting Chief Justice Robert’s curious vote by joining the majority.
The results for Carr, Berghuis, Comstock, and Levin, after the jump.
FantasySCOTUS — What’s Taking Them So Long? Predictions for McDonald, CLS, PCAOB, Doe, and Bilksi
May 20th
With Kagan’s nomination set and the all oral arguments for the October 2009 Term completed, we are still waiting for some major decisions—specifically, McDonald v. Chicago, Christian Legal Society v. Martinez, Free Enterprise v. PCAOB, Bilski v. Kappos, and Doe v. Reed. In this post, we will offer predictions for these huge cases. Additionally, our statistics might also give us an insight into what is causing the delay within the SCOTUS on handing down these opinions.
The chart contains the outcome of the predictions, the confidence interval for the outcome, and the SMRs for each justice, along with the SMR’s confidence interval.
| Case | McDonald | CLS | PCAOB | Bilski | Doe | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Outcome | Reverse 70% | Affirm 55% | Affirm 67% | Affirm 78% | Affirm 67% | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Outcome CI | +/-7.7 (99%) |
FantasySCOTUS.net – Enough About Kagan! What about the cases!May 12th Need a SCOTUS diversion from the Kagan-Palooza? Look no further (although we note that FantasySCOTUS.net correctly predicted Kagan would get the nod from the very beginning). The Supreme Court decided several important cases during the Month of April, and in this post we will consider them, and see how accurate the league was in predicting those cases. We take a look at United States v. Stevens, Perdue, Merck Co., Stolt Nielsen, and Salazar v. Buono. While our members did not predict that vandals would reverse the Supreme Court’s opinion in Salazar by stealing the memorial cross, these diverse cases help to explain user perceptions of these issues, and in what circumstances predictions are less precise. The table lists these five cases, their outcomes (with confidence intervals), number of users who correctly guessed the split, and finally, the standardized majority ratio, which tests whether or not users perceive the Court as dominated by conservative ideology, for each Justice.
United States v. Stevens considered the constitutionality of a statute banning depictions of animal cruelty. Out of over 600 predictions, over 83% of the members corrected predicted that the Supreme Court would affirm the Third Circuit’s opinion. Specifically, 98 users, representing 15% of the total predictions, correctly guess that the split would be 8-1. With only Justice Alito dissenting, this was an unusual split. While the predictions for affirmation were clear, the users by no means indicated that the decision would be unanimous. Looking at the SMRs, the real question for users was whether or not the conservative Justices would take the expanded view of 1st Amendment speech over a law and order viewpoint. The liberal justices were considered highly likely to join the majority, with SMRs all above 4, while the conservative Justices were all significantly below 1. However, the users predicted that the holdout tendency would be weak among Roberts, Scalia, and Thomas, but strong for Alito. In this sense, our data forecasted that Alito would be the sole disenter. And in light of the 8-1 split, our data was accurate. For more results, read on at JoshBlackman.com. JoshVlogs: I discuss FantasySCOTUS.net on NBC!May 10th Last week I was interviewed by Hearst Broadcasting for a segment on the Supreme Court, and the predictions from FantasySCOTUS.net. The interview aired nationwide. Check out this video from WTAE-TV, the local NBC affiliate in Pittsburgh. It’s Kagan! And FantasySCOTUS.net Accurately Predicted the Nomination.May 9th Over the past month, FantasySCOTUS.net invited our nearly 5,000 members–who represent some of the closest and most ardent Court watchers–to weigh in on the vacancy, rank the candidates on the short list, and give their views on the potential nominees. And over the course of four posts, we combed through the numbers in great detail. With over 51% of the members predicting the former Harvard Dean and current Solicitor General, our final prediction was Elena Kagan FTW! And low and behold, Kagan was the pick. Pooling together the wisdom of the crowds often yields more accurate predictions than those of self-described pundits, savants, and oracles. This exercise is a perfect example of this phenomenon. FantasySCOTUS FTW!
FantasySCOTUS.net – Our Final Predictions before the Nomination. Elena Kagan FTW.May 4th Who will replace Justice John Paul Stevens? While pundits, savants, and oracles across the SCOTUSphere pontificate and read Article III tea leaves, FantasySCOTUS.net conducted extensive and detailed polling to predict the next Justice. We have invited our nearly 5,000 members–who represent some of the closest and most ardent Court watchers–to weigh in on the vacancy, rank the candidates on the short list, and give their views on the potential nominees. We are still collecting data. Sign up for free at www.fantasyscotus.net and voice your opinion. This is the fourth in a series of posts breaking down this data, as we attempt to add some certainty to the vast amounts of uncertainty emanating from the penumbras of the upcoming vacancy. As the Supreme Court has closed off the front doors at One First Street, it is time for us to close the page on speculation of who will take John Paul Stevens’ seat on the highest court. In this post, we will be comparing the numbers from our initial post on April 15 with our most recent data. Over the past month, we have received more votes, and our sample size has increased by almost 30%. And the data shows, Elena Kagan FTW!!
In this post, we will be comparing the initial numbers for each candidate in the areas of favorability (on a scale of -10 to 10), and the percentage which they were picked as the top nominee, followed by their current favorability and top nominee percentages, and the favorability and top picks for the votes added since April 15.
Interestingly, many users changed their votes. Why did their votes change? And do we yield a different results? These bench marks are important to see whether or not the media frenzy in the intervening period has a substantial effect on the predictions. The results, after the jump at JoshBlackman.com. Proposed Rule Change to FantasySCOTUS, Seeking Comments: Lock Down Oral Arguments For the Rest of the Term?Apr 29th In accordance with the FPA (FantasySCOTUS Procedures Act), I am posting a proposed rule change, and am seeking comments. Oral arguments are over for the term. There should be no reason why people change their predictions for cases to be argued this term. However, people can change their predictions based on remaining assignments. For example, if someone can predict that Justice Thomas is due an assignment on a certain opinion, they can guess it will be a Conservative majority. Or if Justice Breyer is due an assignment, they can guess it will be a Liberal Majority. This gaming of the system is smart, but really defeats the purpose of the league, which is to predict cases based on arguments and briefs. Also, it punishes people who make their predictions and don’t think about them afterwards. So I propose shutting down all predictions, in say 2 weeks or so. Comments? Thoughts? FantasySCOTUS.net Predictions of the Next Justice – Team Kagan v. Team Wood v. Team GarlandApr 28th Who will replace Justice John Paul Stevens? While pundits, savants, and oracles across the SCOTUSphere pontificate and read Article III tea leaves, FantasySCOTUS.net conducted extensive and detailed polling to predict the next Justice. We have invited our nearly 5,000 members–who represent some of the closest and most ardent Court watchers–to weigh in on the vacancy, rank the candidates on the short list, and give their views on the potential nominees. We are still collecting data. Sign up for free at www.fantasyscotus.net and voice your opinion. This is the third in a series of posts breaking down this data, as we attempt to add some certainty to the vast amounts of uncertainty emanating from the penumbras of the upcoming vacancy. This week, we pit Elana Kagan, Diane Wood, and Merick Gerland in a head to head to head confirmation death match. By dividing users across these lines, we can tell whether a nominee is supported by users who feel strongly about that nominee, or if the nominee’s supporters just like the other candidates less. We have divided the predictions into groups based on the top three nominees: Team Kagan, Team Wood, and Team Garland. Although some users placed other nominees as the top pick, we have limited our discussion to the best three potential nominees. In discussing the opinions of Team Kagan, Team Wood, and Team Garland, we have statistics about those opinions. In the first column we note that Team’s top pick, followed by their second pick, and third pick. We list the maximum and minimum opinions for the nominees (on a scale from -10 to 10) to give general context. We include the average opinion of the group, the standard deviation among the group, and the overall average opinion. The average opinion of the group tells us how the group generally feels about the candidate, while the standard deviation tells us how spread out opinion about that candidate is. Finally, we include the overall opinion to show how the group differs from the total predictions, and to have a better overall context. Team Kagan
Our discussion naturally begins with those who picked Kagan. One of the easiest things to notice about the Team Kagan as a group is that they have full range of minimums and maximums for each candidate, which might be due to the fact that they are the largest and most inclusive group. However, it does indicate that predictions are not strongly tied to the opinion of the nominee. Unlike our previous post however, the average opinions do reflect the order of picks, with Kagan having the highest and Garland the lowest. At 4, Kagan is by no means the peacemaker candidate, but it does indicate that she can attract solid support. The standard deviation shows how volatile the candidate is by showing the amount of spread in the opinions. The opinion of Kagan, at 5.79, is well spread out, but less so than Wood at 6.45. This difference hints that Kagan is preferred over Wood as a less divisive nominee, while Garland fails to engender much opinion period. Finally, the difference between the average opinion and overall opinion indicates that while those who picked Kagan are the largest group, Kagan is disfavored enough by other users that there is almost an entire point of difference in the opinions. The results for Team Garland and Team Wood, after the jump at JoshBlackman.com. A Bottle of Ollie’s World’s Best Bar-B-Q Sauce for the Winner of FantasySCOTUS.netApr 24th I just received 6 bottles of Ollie’s World’s Best Bar-B-Q Sauce. If that isn’t ringing a bell, remember Katzenbach v. McClung? Ollie’s World Famous B-B-Q refused to comply with the Civil Rights Act of 1964. The Supreme Court found that their discriminatory practices had an effect on interestate commerce, and Congress could regulate them. Although Ollie’s closed down a few years ago, bottles of the BBQ sauce are still available. In the word’s of Professor Adam Winkler, “[O]llies’ BBQ sauce. Spicy with a tinge of racism.” I’m still searching for some Carolene Products Filled Milk. I have a few leads And the Chief Justice of FantasySCOTUS.net League will receive a bottle of Alabama’s finest. Good luck!
Note how the logo on the bottle matches the logo on the sign in front of the restaurant. Authentic. FantasySCOTUS.net – What do liberals, conservatives, moderates, and libertarians think of the SCOTUS Short List?Apr 22nd Who will replace Justice John Paul Stevens? While pundits, savants, and oracles across the SCOTUSphere pontificate and read Article III tea leaves, FantasySCOTUS.netconducted extensive and detailed polling to predict the next Justice. We have invited our nearly 5,000 members–who represent some of the closest and most ardent Court watchers–to weigh in on the vacancy, rank the candidates on the short list, and give their views on the potential nominees. We are still collecting data. Sign up for free at www.fantasyscotus.net and voice your opinion. This is the second in a series of posts breaking down this data, as we attempt to add some certainty to the vast amounts of uncertainty emanating from the penumbras of the upcoming vacancy. Are Elena Kagan’s liberal bona fides established, or would Diane Wood be the better progressive pick? Glenn Greenwood, among others on the left, have written sharply that Kagan is not a proper progressive pick. Others on the left have rushed to Kagan’s defense, and Greenwald has replied in kind. In this installment, we break down the picks based on self identified ideologies; liberals, moderates, conservatives, and libertarians. Because these brackets are often difficult to define, we also polled the voter’s favorability ratings of the two most recently appointed Justices, Justice Sotomayor and Justice Alito. For each ideology, this table lists the top pick, along with percentage making that prediction, the correlating opinion scores for Justices Sotomayor and Alito (from -10 to 10), and the top three ranked candidates, with the candidate’s score in parenthesis. Moderates, once again, place Kagan as the top pick, with 56% of the vote. Moderates mostly have positive opinions of the possible nominees, with both Garland and Kagan rating higher than Sotomayor. Garland takes the lead with a 2.89 rating, followed by Kagan with a 2.75, and then finally Wood with 1.61. One important takeaway from the moderates is that a slightly higher opinion of a candidate may not make much of a difference in how the user predicts the likelihood of nomination. Among libertarians, Kagan holds a plurality as the top pick at 40%. However, the other top picks are spread among the other candidates. Libertarians have a neutral opinion of Kagan, which is only slightly lower than their opinion of Sotomayor. Garland has the second highest rating of -0.55, followed by Sunstein at -0.7. Perhaps his work on libertarian paternalism with Richard Thaler lends him more support among libertarians. Overall, Kagan is still predicted most likely to get the nod, but Sunstein being third in opinion was interesting. How do the candidates rank among liberals and conservatives? Is Glenn Greenwald right? Is Kagan appealing to liberals? The results after the jump, at JoshBlackman.com. FantasySCOTUS.net- Polling Data and Predictions for Justice Stevens’s ReplacementApr 15th Who will replace Justice John Paul Stevens? While pundits, savants, and oracles across the SCOTUSphere pontificate and read Article III tea leaves, FantasySCOTUS.net conducted extensive and detailed polling to predict the next Justice. We have invited our nearly 5,000 members–who represent some of the closest and most ardent Court watchers–to weigh in on the vacancy, rank the candidates on the short list, and give their views on the potential nominees. We are still collecting data. Sign up for free at www.fantasyscotus.net and voice your opinion. This is the first in a series of posts breaking down this data, as we attempt to add some certainty to the vast amounts of uncertainty emanating from the penumbras of the upcoming vacancy. We narrowed our short list to 8 possible candidates: Hillary Clinton, Merick Garland, Elena Kagan, Janet Napolitano, Devall Patrick, Kathleen Sullivan, Cass Sunstein, and Diane Wood. The following chart lists the nominee, followed by her average favorability, on a -10 to +10 scale, the percentage of predictions listing her at the top, and the percentage of predictions listing her at the bottom. Next to the percentages are the raw number of votes each nominee received for placement at the top or bottom of the list respectively. Is Kagan definitely the pick? What about Garland and Wood? The analysis of the results, after the jump at JoshBlackman.com. FantasySCOTUS.net- Who will replace Justice Stevens? Vote now!Apr 9th It’s official. Justice Stevens will be stepping down at the end of the term. And the race begins to name Justice Stevens’s replacement. And we want to know who the replacement will be. At FantasySCOTUS.net we call upon our 5,000 members to cast their votes, and predict who will replace Justice Stevens. And as a special JPS treat, we have waived the registration fee. Sign up now for FREE at FantasySCOTUS.net! We have narrowed the short list to 8 possible candidates:
Rank them, and provided your opinions for each candidate. We will award, at random, users who correctly pick the correct justice, a to-be-determined prize, and an opportunity to rant on JoshBlackman.com about what they think about the Justice. FantasySCOTUS.net: Who will be the next Supreme Court Justice? Vote Now!Apr 7th The conventional wisdom in the SCOTUSphere is that Justice John Paul Stevens will step down at the end of the term. But who will replace him? FantasySCOTUS.net calls upon the wisdom of our crowds, and invites you to vote, and rank your favorite picks for the High Court. As a special Article III treat, we have waived the registration fee. Sign up now for FREE at FantasySCOTUS.net! This week’s 10th Justice will discuss whether or not oral arguments have a significant effect on case predictions. However, we have chosen six cases, Alabama v. North Carolina, Briscoe v. Virginia, Mac’s v. Shell Oil, American Needle v. NFL, U.S. v. Comstock, and McDonald v. Chicago and will compare user perception of these cases before and after oral arguments. Hypothesis testing is an important statistical method for determining whether or not characteristics of samples are due to randomization or other factors. A hypothesis test is a question couched in the terms of a null and alternate hypothesis. The null hypothesis is what would be true if the results were due to randomization, while the alternative hypothesis is what the researcher wants to show. As such the testing results either reject or fail to reject the null (random) hypothesis rather than conclusively “prove” the alternate hypothesis. Because we want to know whether our pre-argument percentages are significantly different from the post-argument percentages, we will be using a two-tailed test based on a standard normal (Z) distribution, in which we compare a test statistic (test Z-score) against a Z-score derived from our confidence level. For our purposes, the null hypothesis is that there is no significant difference between proportions (indicated by a Z-score within specific values determined by our confidence level). The following table lists the total number of predictions before arguments, the percentage of votes before arguments, the number of predictions after arguments, the percetnage of votes after arguments, the test’s Z-score, and whether or not we can reject the null hypothesis at the 90%, 95%, or 99% confidence level. Additionally, the Z-score corresponding to the confidence interval will also be listed, but because it is a two-tailed test, our test value must either be above the positive confidence value or below the negative confidence value in order for the proportions to be significantly different. An explanation of the results, after the jump at JoshBlackman.com. FantasySCOTUS.org and the Harlan Institute Teacher Advisory NetworkApr 5th FantasySCOTUS.net has been a great success by all measures. In addition to avid court watchers, several dozen teachers from across the country have incorporated FantasySCOTUS.net into their lesson plans to teach about civics, government, the law, and political science. The Harlan Institute has been in contact with a number of these teachers, who have asked for a version of FantasySCOTUS geared towards high school students. For the 2010-11 academic year, the Harlan Institute aims to do just that, and we will launch FantasySCOTUS.org in September 2010. FantasySCOTUS.org will be a Supreme Court fantasy league targeted towards high school classes that teach about the Supreme Court, the Constitution, and civics. The site will be free for all teachers and students to use. During the October 2010 Supreme Court term, the Harlan Institute will select several cases. These cases will be of special interest to students, and focus primarily on constitutional issues, though other significant non-constitutional cases will also be considered. Each class will submit predictions for these ten cases, speculating as to the outcome of the case (Affirm or Reverse/Vacate), the split, and the Justices in the majority and in the dissent. To learn more about FantasySCOTUS.org check out the Teacher Resources page at the Harlan Institute web site or download the PowerPoint presentation. The Harlan Institute is searching for teachers to serve on the Teacher Advisory Network. Members of the Network will be integral in shaping our curriculums, designing our lesson plans, and planning software tools. Their input is critical to the development of our programs for the upcoming school year. If you are interested in participating in the Teacher Advisory Network, please contact info@harlaninstitute.org. FantasySCOTUS.net- Comparing Predictions from Cert Grant to Decision DayMar 31st In this week’s 10th Justice, we consider how predictions for cases are spread out over time, both before and after oral arguments, and how the statistics for the sets differ throughout the lifecycle of a case. In this context, we will discuss three different cases: Bilski v. Kappos, Alabama v. North Carolina, and McDonald v. City of Chicago. Although these cases have slightly different characteristics, timing in the term, and total number of predictions, the three cases serve as examples of different interest level strata. For our purposes, Bilski represents a specialized interest, Alabama represents a highly technical interest, and McDonald represents a general interest case. The lifecycle of each case has been divided into four quarters. To calculate the quarters, the total number of predictions for each case was divided by four. The predictions were evenly divided into four quarters, with varying dates. These quarters will show how predictions differ varying points from the granting of cert to the decision date. Bilski is a patent law case which addresses whether or not the “machine-or-transform” test is the proper test for patents. Because of its importance to scientific and industrial concerns, this case could be considered specialized, but still accessible to individuals outside of legal practice. Because the case was argued before FantasySCOTUS went online, pre-oral argument data is not available, and the 1st and 2nd quarters are heavily weighted toward November and December. In addition to having a wider date range, the later quarters also introduce more uncertainty into the predictions. The 4th quarter proportion is marked in blue because it is only significant at a 90% level. One explanation is that the delay in rendering a decision causes user to be leery of a certain outcome due to justice disagreements or resolution of difficult problems. Overall, the case is still strongly predicted to be an affirmation. Predictions for Alabama v. North Carolina, and McDonald v. Chicago, after the jump at JoshBlackman.com FantasySCOTUS.net: Predictions for Bilski, American Needle, Stop the Beach, PCAOB, Black, and GrahamMar 26th The Supreme Court has yet to decide 56 cases for the October 2009 term . In this installment, we will provide predictions for Bilski v. Kappos, American Needle Inc. v. NFL, Free Enterprise Fund and Beckstead and Watts, LLP v. Public Company Accounting Oversight Board, Black v. United States, and Graham v. Florida. American Needle considers whether the National Football League, its teams, and their licensing agent’s function as a single entity for purposes of the Sherman Act. A majority, 60% of the members of the league are predicting an affirmance of the lower court, at a 95% confidence. The SMRs show a tendency for the liberal justices to join with the conservatives in this decision, with Sotomayor most likely to join in the majority. Stop the Beach considers the limits on state authority to restore storm-eroded beaches or lakefronts. Eighty-four percent of the members of the league are predicting that the Supreme Court affirms the Florida Supreme Court. In this case, the SMRs show that there is a strong potential for a conservative objection to the majority position, with Thomas possibly being the most vocal objection. This is not a big surprise in light of Justice Thomas’ staunch defense of property rights. The liberal justices are really strong for this case. Though Stevens’ low SMR is due to the fact he has already recused himself from this decision. Though, not everyone has followed this news, and some have cast votes for Stevens. Predictions for PCAOB, Black, Graham, and Bilski, after the jump at JoshBlackman.com. FantasySCOTUS.net: Counting the Cheaters and Reviewing Recent CasesMar 17th In this week’s column we will dig deeper, and figure out exactly how many people cheated on predictions, and whether this cheating had any impact on the results. Additional, we will revisit five cases recently decided: Johnson v. US, Bloate v. US , Reed Elsevier v. Muchnick, Milavetz, and Mac’s Shell Service v. Shell Oil. For each case, we have recorded our outcome statistics and SMRs (standard mortality ratio). The SMR provides a method to test whether or not users perceive the Court as dominated by conservative ideology. In Johnson, the Court in a 7-2 decision reversed the 11th Circuits decision to apply federal law to determine whether someone committed a “violent felony” for the purpose of the Armed Career Criminal Act. With a total of 304 predictions, 55% of users predicted that the Court would reverse the decision, at a 90% confidence level. 24 users predicted the correct split, while 9 users correctly predicted that Thomas and Alito would dissent. Based on the SMRs, Alito had the lowest SMR, followed by Thomas with the second lowest, supporting the conclusion that Thomas and Alito would be the minority. Additionally, both Thomas’ and Alito’s SMRs were not significantly different from 1, indicating that Roberts and Scalia “defected” from the “conservative” view. Ginsburg was the only liberal justice to not have a SMR significantly different from 1, although Breyer was close. Overall, the results reflected the formation of a large majority with 2 conscientious objections. In Bloate, the Court issued another 7-2 decision, reversing an 8th Circuit decision holding that the delay resulting from pretrial motions was sufficiently related to an on-going trial to be excluded the time in which a trial must commence under the Speedy Trials Act. Out of 241 votes, only 22% of users predicted a reversal, with a confidence level of 99%. Only 5 users got the correct disposition and split, but no users guessed which Justices would be in the minority correctly. The SMRs indicate a very strong tendency for a unanimous decision. However, this finding is problematic because the most often predicted disposition was an affirmation. All of the conservative Justices had SMRs not significantly above 1, while the liberal Justices had extremely high SMRs. These results indicate that there was no clear conservative vs. liberal position, or that the decision was made on a basis beyond ideology. Given that Breyer and Alito were the minority, the final outcome supports this proposition. For more anlaysis of the remainder of the cases, and an investigation on FantasySCOTUS cheating, read on. FantasySCOTUS.net: Testing the Accuracy of the LeagueMar 10th In order to assess the accuracy of our league, we will revisit five recent opinions, and compare the predicted outcomes with the actual outcomes. We have selected cases that did not necessarily fall along ideological lines to test the capability of our league to detect nuance in judgments. In this week’s 10th Justice, we will take a look at Hemi Group, Briscoe, Powell, Hertz Corp, and Shatzer, all of which were decided at the end of January and February. We also consider how cheating impacted the results. For each case, we have recorded our outcome statistics and SMRs (standard majority ratio). The SMR provides a method to test whether or not users perceive the Court as dominated by conservative ideology. In Hemi Group v. City of New York, the Supreme Court reversed the 2nd Circuit’s decision that the non-payment of taxes was an injury flowing from a third party’s actions for the purpose of the RICO Act. Overall, only 39% of total predictions found that the Supreme Court would reverse, and the confidence interval was 10.25% (at the 95% level), indicating that the results were a decently accurate representation of predictions about the case (and their general incorrectness). As for the specific split, 18 users guessed that the outcome would have less than 9 Justices voting. These members were astute, as Sotomayor recusing herself from an opinion involving the Second Circuit should have been expected. But only half of those predictions, 10% of total predictions, were reverse predictions. No member correctly predicted the votes of each Justice. The SMRs indicate that most predictions were counting on liberal Justices joining the majority, since Stevens, Ginsburg, and Breyer all have SMRs above one at a statistically significant level. Of course, this could also be representative of a complex case or issue, as Kennedy was in the minority for this case. This fact would also explain how the majority of predictions got the general outcome wrong. But how did the FantasySCOTUS cheaters affect the results? This installment of the 10th Justice continues at JoshBlackman.com, after the jump. FantasySCOTUS.net: The Influence of (soon to be retiring?) Justice John Paul StevensMar 4th Tom Goldstein predicted Justice Stevens will retire at the end of the term. He’s getting his own sitcom, so it must be true And in honor of Stevens’ looming retirement and the attendant circus, this week’s installment of the 10th Justice will consider Stevens’ behavior in the 14 cases that have been decided this term. We will show how users look at Justice John Paul Stevens. For this post, we will be using outcome percentages and standardized majority ratios (SMR), along with their respective confidence intervals. Confidence intervals are synonymous with the margin of errors used in polls. In the language of outcome percentages, the confidence interval determines how far our percentage needs to be from 50% to be determinative about what users predict the outcome will be. In the language of SMRs, the confidence interval determines how far the SMR needs to be from 1 to determine if the difference is statistically significant. All confidence intervals are dependant on confidence levels, which is the likelihood that the true value is within the interval. Confidence levels are indicated directly next to the Outcome CIs, while the SMR assumes a confidence level of 95%. The information for both metrics and their confidence intervals is contained in tables for the cases, grouped according to some properties observed in their statistics. First set: These five cases can be understood as the result of properly measured statistics. In all of the cases, the outcome was correctly predicted by a majority of FantasySCOTUS members at a 99% confidence level. As shown by the width of the confidence interval, all of the cases vary in number of predictions. However, the most interesting aspect is that Stevens’ SMR in each case telegraphed the possible outcome. Citizens United fell along partisan lines, but Stevens’ SMR in the case indicated that he was likely to withhold his vote from the majority (the difference below 1 is statistically significant), and given the tone of his dissent, that was certainly the case. The other cases, with SMRs significantly above 1, indicated that Stevens was likely to “defect” to the “conservative” majority. The outcome of the cases supports the inference of the statistics since all four of the cases were unanimous decisions. More results, after the jump. |





















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