A statistical look at Joao Paulo – Sounder At Heart

A statistical look at Joao Paulo - Sounder At Heart nevin manimala

Editor’s note: No, the Sounders have not yet signed Joao Paulo. All signs currently point to this getting done eventually. We decided to take a closer look at what the statistics tell us about Joao Paulo

Joao Paulo, in Brazil’s top flight, performed as a roughly above-average starting defensive midfielder when positioned as a CM.

There are two warnings to keep firmly in mind, reading further in this article.

  1. Robustly translating statistical performance in soccer between leagues is not practical, at the moment. Too few players move between leagues, internationally, without also changing playing roles that have a dramatic impact on the numbers. Leagues vary in playing and officiating style — one cannot simply claim that the competition has become easier (or harder) and adjust the numbers to match.
  2. The two key statistics of “holding” midfielders — defensive actions and passes — are also extremely role-dependent. Pair a first-string holding mid with another CM who is not so comfortable in distribution, and the primary passers’ share will rise. A CM who is less defensively active will forcibly increase the defensive activity of his partner. So, while PEAK rates of successful passing and defensive activity are highly dependent on skill, the team’s tactical decisions may make all the statistical difference between an average CM and a “destroyer.”

So, let’s look at those two key numbers among CMs and DMs in Brazil and MLS in 2019.

A statistical look at Joao Paulo - Sounder At Heart nevin manimala Soccer is a universal language

While there is perhaps a touch more specialization in Brazilian players, (represented in extreme values along either axis), the two leagues cover a very similar range of values. Also, apart from a clusters of players who are extremely focused on distribution/possession, there are no distinct boundaries to define traditional CM roles, including the classical “6” and “8.” These roles, in practice, occur on a spectrum.

Two recent Sounders targets in Brazil, for all the highlight-video discussion of their differences, have strong statistical similarities.

A statistical look at Joao Paulo - Sounder At Heart nevin manimala 6 or 8 or whatever

This is not to suggest that Gregore is not more of a classical “destroyer” than Joao Paulo — he clearly falls into a more defensively-focused category of the defensive midfield. That style of “6,” however, is not necessarily a common feature of most team’s tactical setup. Out of 124 CMs between the two leagues in 2019, only four players exceeded Gregore’s 9.98 defensive actions per 90’. Seattle’s Gustav Svensson crossed that threshold in 2017. Osvaldo Alonso exceeded 10 Def90 in 2013, 2014, and 2016. Concentrating so much defensive activity in a DM can free up a central midfield partner for additional attacking movement or cover for an aggressive CB pair, but Sounders fans should not take Alonso’s example to mean the team requires such a player for success (or ignore the fact that the team does not “need” a 6 while Svensson remains on this side of the Atlantic).

A statistical look at Joao Paulo - Sounder At Heart nevin manimala A successful midfield pair, 2016-2019

Joao Paulo’s historical performance at CM fits well within the demands of Seattle’s double-pivot.

Diving deeper into JP’s “role” statistics, we can compare them to his Brazilian peers and look for comparable players who may be familiar from MLS.

A statistical look at Joao Paulo - Sounder At Heart nevin manimala

CMs that can pass at average or better accuracy at high volume while also taking an above-average share of team defense benefit a team, as discussed above. Many productive attackers take diminished roles in defense or buildup play. If we look for similar statistics among the five parameters above, NYCFC’s Alexander Ring is the fourt most comparable performance in MLS (after Felipe Gutierrez, Anibal Godoy, and Sean Davis). Cristian Roldan is the eighth most similar player. If we look instead only at the rates of various distinct defensive actions (tackles, clearances, interceptions, blocks), Ring is the most similar to Joao Paulo, followed by Luis Caicedo, Everton Luiz, Davis, Chara, and then Svensson.

A statistical look at Joao Paulo - Sounder At Heart nevin manimala Chance: Open play chances; Lost: Lost possession; Won: Won possession

“Skill” statistics demonstrate Joao Paulo is not particularly strong in the air. His slightly-below-average pass accuracy is mostly attributable to his higher frequency of long passes. He’s an above-average ball-winner and has shown past ability (2017) to be better still, with a high rate of interceptions. Combined with his strong defensive/distribution activity rates, and we can confidently call him an above-average Brazilian starter in the role.

How that translates to MLS? Perhaps we’ll see.

Op-ed: How abusing statistics drives bad public decisions – Los Angeles Times

Op-ed: How abusing statistics drives bad public decisions - Los Angeles Times nevin manimala
Op-ed: How abusing statistics drives bad public decisions - Los Angeles Times nevin manimala

The White House is reportedly considering expanding its restrictions on travel to the United States from majority-Muslim countries. Amid heightened tensions with Iran, there was increased scrutiny of Iranian Americans returning to the U.S. from Canada. And the governor of Texas recently closed his state to refugee resettlement, citing security concerns.

Most Republicans have supported restrictive policies such as the so-called Muslim travel ban, and most Democrats have opposed them. Policies that affect hundreds of thousands of people should be guided by facts, not political partisanship. But even when liberals and conservatives agree about what the facts are, they disagree about which facts are relevant.

In a recent study, we provided people with a few simple statistics and asked them which was most important to consider in evaluating several policies, including the Trump administration’s 2017 travel ban. Most supporters of the ban reported that the most important statistic was that 70% of immigrants who are identified as terrorists are from predominantly Muslim countries. But this statistic implies that Muslim immigrants pose a misleadingly high threat — and those who opposed the ban easily saw through the faulty reasoning.

To appreciate the problem, consider a less polarizing example. About 75% of NBA players are black but only about 0.002% of black men play in the NBA. So, it would be senseless to look at all black men in America when scouting NBA talent. Yet that is exactly the logic used when citing the fraction of terrorists who are Muslim to gauge the threat of Muslim immigrants.


Most of us have difficulty thinking clearly about “conditional probabilities” — the likelihood of an event occurring given that some other event has already occurred. The likelihood that immigrants who have been identified as terrorists are from Muslim countries is a conditional probability. But it’s not especially informative about the terrorist threat posed by Muslim immigrants — just as it’s not especially informative that 75% of NBA players are black.

The more important probability is the inverse: the fraction of immigrants who are terrorists given that they are from Muslim countries. Because terrorism is so rare, this statistic is vastly smaller. Only about 0.00004% of Muslim immigrants are terrorists. Opponents of the Muslim travel ban correctly recognized that this minuscule number was more relevant to assessing the terrorist threat.

Misusing probabilities to justify restrictions on immigrants and refugees is not limited to the U.S. In a study conducted in Israel, we asked people to consider statistics regarding a policy to reduce crime by expelling Eritrean and Sudanese asylum seekers from South Tel Aviv, Israel.

Those on the right supported the expulsion and thought the most important statistic they read was that about 200 of 360 residents of Tel Aviv who committed crimes were also asylum seekers. Leftists opposed the expulsion and thought the most important statistic was that only 200 of 20,000 asylum seekers committed crimes. Israelis on different ends of the political spectrum were sharply divided about which facts were relevant.


Liberals are not necessarily more clear-headed than conservatives when it comes to statistics. In our study, liberals were equally willing to cite misleadingly high statistics when considering a different policy: banning people from owning assault weapons to combat mass shootings.

Most supporters of an assault weapons ban thought the most important statistic that we presented was that nearly 70% of Americans who committed mass shootings (which killed four or more people other than the shooter) owned an assault weapon.

Opponents of the assault weapons ban readily identified that the more important statistic is the inverse: the fraction of assault weapons owners who committed mass shootings. Only 0.00003% of the 12 million Americans who owned an assault weapon committed a mass shooting in the past seven years. When the ideological tables were turned, liberals embraced the same type of misleadingly high statistic and conservatives recognized the faulty reasoning.

Policy evaluations are not only guided by statistics, of course. Different choices might reflect different values. Is it a worthwhile trade-off to reduce the very rare frequency of terrorism, mass shootings, and other violent crimes by shutting down Muslim immigration, restricting the ability to purchase assault weapons and expelling refugees? Our studies suggest that rather than confront the trade-offs, people rely on misleading statistics when choosing to support these policies.

But our studies also show that people can change their understanding of rare events. We asked them to try to think like an expert policy analyst. One might fear that their policy choices would still be driven by their ideological stances. But that’s not what happened.

For all three policies, this simple instruction reduced differences in the information that liberals and conservatives deemed important. It increased the number of people on both sides who thought the most important statistics were the fractions of Muslim immigrants who were terrorists, weapons owners who were mass shooters, and refugees who were criminals.

These findings suggest that people can be dissuaded from relying on misleading statistics, even against their ideological inclinations. That’s a first step toward adopting thoughtful, effective policies in any sphere.

Leaf Van Boven is a professor of psychology at the University of Colorado Boulder. Ronit Montal-Rosenberg is a postdoctoral fellow at Tel Aviv University. David Sherman is a professor of psychology at UC Santa Barbara.

NASS Builds Its Future on 150-Year Foundation of Agricultural Statistics – USDA.gov

NASS Builds Its Future on 150-Year Foundation of Agricultural Statistics - USDA.gov nevin manimala
Posted by Hubert Hamer, NASS Administrator in Research and Science

Jan 21, 2020

NASS Builds Its Future on 150-Year Foundation of Agricultural Statistics - USDA.gov nevin manimala

NASS uses geospatial data in its crop estimates, along with many other sources of information, to ensure accurate, useful and publicly accessible information about U.S. agriculture. Photo credit: Tom Harnish

USDA’s National Agricultural Statistics Service (NASS) is well known for being the gold standard for U.S. agricultural data that can help you in your work. We are proud of our reputation for providing useful, accurate data in service to U.S. agriculture for more than 150 years. When extension agents or farm associations write grants to advance agricultural research, they turn to NASS data. When farmers and ranchers want to compare their operation to others or gather unbiased information for marketing decisions, they can turn to NASS data. And when local governments and ag associations are looking to tout the importance of agriculture in their county or state, they turn to NASS data.

To provide these data, we’ve done things consistently and comparably for decades, tapping into new technologies when they uphold our high standards for data quality – and importantly for maintaining the privacy of our data providers. We’ve always relied on generations of farmers and ranchers completing surveys for which we owe many thanks. With decades of data, ground-truthed field samples, data from other agencies, newer geospatial and cloud technologies, and sound methodology, our statistics stand the test of time. These are the foundations on which we enter a new decade of advancing our use of science and technology to make it easier for farmers and ranchers, to make data analysis more efficient, and to make the resulting data easier to use.

Over the past two years, we have phased all surveys into a new e-questionnaire that is a faster and more convenient way to respond. Nearly half a million farmers and ranchers filled out the census that way. Research and testing are underway for new ways to reduce the burden on farmers and ranchers such as incorporating their previously reported data in their questionnaires, further utilizing data from other agencies, incorporating field-level data, and increasing electronic communications with producers. We’ll incorporate changes when testing proves they uphold security and data quality standards.

On the dissemination side, there are many new and future improvements to accessing and using NASS data underway, including multiple interactive geospatial tools, census web maps and visualizations. NASS has also implemented a system to handle extreme demand loads during data release times, thereby keeping systems fast and accessible for customers.

As with many technology initiatives, they will happen over time and there can be and have been bumps in the road. While we’ve planned to avoid interruptions during these upgrades, we want you to know that NASS data and reports are available in multiple ways in addition to the nass.usda.gov website: the QuickStats database and QuickStats API; Cornell University Mann Library (a USDA repository) website and e-mail report subscription service; and a JSON file for principal economic indicator data. Please explore these options. You may find there are multiple ways to receive information for your needs.

We are always available to answer your questions and hope you’ll join us in testing new interfaces as they are developed. We value your feedback. Follow @USDA_NASS on Twitter for data release alerts, updates, fun ag facts, and our monthly #StatChat on Twitter.

Category/Topic: Research and Science

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How human social structures emerge

What rules shaped humanity’s original social networks? Researchers in Japan developed new mathematical models to understand what conditions produced traditional community structures and conventions around the world, including taboos about incest.

“We think this is the first time cultural anthropology and computer simulations have met in a single research study,” said Professor Kunihiko Kaneko, an expert in theoretical biology and physics from the University of Tokyo Research Center for Complex Systems Biology.

Researchers used statistical physics and computer models common in evolutionary biology to explain the origin of common community structures documented by cultural anthropologists around the world.

The earliest social networks were tightly knit cultural groups made of multiple biologically related families. That single group would then develop relationships with other cultural groups in their local area.

In the 1960s, cultural anthropologists documented social networks of indigenous communities and identified two kinship structures common around the world. In areas with hunter-gatherer communities, anthropologists documented direct-exchange kinship structures where women from two communities change places when they marry. In areas with agrarian farming communities, kinship structures of generalized exchange developed where women move between multiple communities to marry.

“Anthropologists have documented kinship structures all over the world, but it still remains unclear how those structures emerged and why they have common properties,” said Kenji Itao, a first year master’s degree student in Kaneko’s laboratory, whose interdisciplinary interests in physics, math and anthropology motivated this research study.

Experts in anthropology consider the incest taboo to be an extremely common social rule affecting kinship structures. The ancient incest taboo focused on social closeness, rather than genetic or blood relationships, meaning it was taboo to marry anyone born into the same cultural group.

Itao and Kaneko designed a mathematical model and computer simulation to test what external factors might cause generations of biologically related families to organize into communities with incest taboos and direct or generalized exchange of brides.

“Traditionally, it is more common for women to move to a new community when they marry, but we did not include any gender differences in this computer simulation,” explained Itao.

Simulated family groups with shared traits and desires naturally grouped together into distinct cultural groups. However, the traits the group possessed were different from the traits they desired in marriage partners, meaning they did not desire spouses similar to themselves. This is the underlying cause of the traditional community-based incest taboo suggested by the study.

When the computer simulation pushed communities to cooperate, generalized exchange kinship structures arose. The simulation demonstrated different kinship structures, including the direct exchange basic structure, emerge depending on the strength of conflict to find brides and the necessity of cooperation with specific other communities.

“It is rewarding to see that the combination of statistical physics and evolution theory, together with computer simulations, will be relevant to identify universal properties that affect human societies,” said Kaneko.

The current computer model is simple and only included factors of conflict and cooperation affecting marriage, but researchers hope to continue developing the model to also consider economic factors that might cause communities to separate into different classes. With these additions, the theory can hopefully be extended to explore different communities in the modern, global society.

“I would be glad if perhaps our results can give field anthropologists a hint about universal structures that might explain what they observe in new studies,” said Itao.

Story Source:

Materials provided by University of Tokyo. Note: Content may be edited for style and length.

statistics; +423 new citations

statistics; +423 new citations Report, nevin manimala
statistics; +423 new citations Report, nevin manimala

Atlas Writing Group; ESC Atlas of Cardiology is a compendium of cardiovascular statistics compiled by the European Heart Agency, a department of the European Society of Cardiology; Developed in collaboration with the national societies of the European Society of Cardiology member countries, Timmis A, Townsend N, Gale CP, Torbica A, Lettino M, Petersen SE, Mossialos EA, Maggioni AP, Kazakiewicz D, May HT, De Smedt D, Flather M, Zuhlke L, Beltrame JF, Huculeci R, Tavazzi L, Hindricks G, Bax J, Casadei B, Achenbach S, Wright L, Vardas P.

Eur Heart J Qual Care Clin Outcomes. 2020 Jan 1;6(1):7-9. doi: 10.1093/ehjqcco/qcz065. No abstract available.

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2019 Preliminary Crime Statistics Released – Federal Bureau of Investigation

2019 Preliminary Crime Statistics Released - Federal Bureau of Investigation nevin manimala
2019 Preliminary Crime Statistics Released - Federal Bureau of Investigation nevin manimala

Preliminary statistics show overall declines in both violent and property crime in the first half of 2019 compared to the same time frame the previous year, according to FBI crime statistics released today.

The Preliminary Semiannual Uniform Crime Report covers January through June 2019. It contains data from more than 14,000 law enforcement agencies nationwide that voluntarily submitted information to the FBI’s Uniform Crime Reporting Program.

According to the report, all categories of violent crime offenses decreased between the first half of 2018 and the first half of 2019, including:

  • Robbery (-7.4 percent)
  • Rape (-7.3 percent)
  • Murder and nonnegligent manslaughter (-3.9 percent)
  • Aggravated assault (-0.3 percent)

Property crime also declined during the same period, specifically:

  • Burglary (-11.1 percent)
  • Motor vehicle theft (-6.7 percent)
  • Larceny-theft (-4.2 percent)

The full Crime in the United States, 2019 report will be released later this year.

Full Report

FBI Criminal Statistics Reveal City of Bridgeport with Significant Recent Drop in Violent Crime Activity – WDTV

FBI Criminal Statistics Reveal City of Bridgeport with Significant Recent Drop in Violent Crime Activity - WDTV nevin manimala
FBI Criminal Statistics Reveal City of Bridgeport with Significant Recent Drop in Violent Crime Activity - WDTV nevin manimala

BRIDGEPORT, W. Va. (Connect-Bridgeport) – For those wondering about the crime situation in the Northern District of West Virginia in general and Bridgeport in particular, there was some good news released last week. And the good news related to numbers on violent crime.

According to the office of U.S Attorney for the Northern District of West Virginia Bill Powell, violent crime took a plunge between 2017 and 2018. The numbers go along with a small drop nationally.

The numbers dropped national by three percent, based on information from the FBI.

That would represent the largest decrease nationally since 2013, according to the information provided by Powell’s office.

While that’s good news, the better news lies in the Northern District Powell represents.

Bridgeport was one of three cities listed by Powell’s office as have a drop of a major proportion.

Information provided by Powell stated that a drop in violent crime “exceeded 30 percent” in Bridgeport during the above time frame. Martinsburg and Wheeling also were listed as cities in West Virginia where the crime rate dropped more than 30 percent.

The statistics are done through the FBI’s Uniform Crime Reporting Program that includes crime data on local, county and state law enforcement.

Whether that correlates with prosecution isn’t clear.

However, Powell’s office states that the number of federal criminal defendants prosecuted in the district have increased by 50 percent. since 2016.

“While federal prosecutions are at record levels, the focus upon violent crime by Attorney General (William) Barr and the incredible work by local, state and federal law enforcement across the district have directly impacted the results.

West Virginians are safer due to their great work. We anticipate this positive trend to continue,” said Powell.

Along with Harrison County, the Northern District consists of Monongalia, Preston, Marion, Taylor, Doddridge, Pleasants, Ritchie, Gilmer, Braxton, Calhoun, Lewis, Upshur, Barbour, Tucker, Grant, Hardy, Pendleton, Randolph, Webster, Pocahontas, Mineral, Hampshire, Morgan, Berkeley, and Jefferson counties.

Bridgeport Police Chief John Walker could not be reached for comment.

Dekalb County Sheriff’s Office releases 2019 statistics – WHNT News 19

Dekalb County Sheriff’s Office releases 2019 statistics - WHNT News 19 nevin manimala

DEKALB COUNTY, Ala. – The DeKalb County Sheriff’s Office released its yearly statistics for 2019 on Sunday afternoon.Dekalb County Sheriff’s Office releases 2019 statistics - WHNT News 19 nevin manimala

Dekalb County Sheriff’s Office releases 2019 statistics - WHNT News 19 nevin manimala

The sheriff’s office said the numbers reflect the miles driven on the roads, amount of various narcotics seized, warrants served, calls answered, and other important data.

The news release said compiling the data helps the sheriff’s office make adjustments to better serve the people of Dekalb County in 2020 and improve overall efficiency. The sheriff’s office said they release the data to the public in order to maintain transparency.

Compared to 2017, deputies and narcotics agents seized 500 percent more methamphetamine (15,368 grams in 2019 compared to 2563 grams in 2017) and 40 percent more total arrests were made, according to the news release.

Dekalb County Sheriff Nick Welden released the following statement to WHNT News 19:

“I’m extremely proud of the hard work our deputies, investigators, narcotics agents, and interdiction agents have put in. We hope to only improve these numbers in 2020. We’re very proud to get such a large amount of Methamphetamine off our streets. Meth has plagued our county for over a decade now. The drug trade is fueled by stolen goods. Tackling it head-on will directly help make our county a better and safer place to live.”

The following are the statistics for 2019:

  • Total Miles Driven: 611,356
  • Number of Calls Answered: 7,123
  • Number of Reports Taken: 3,952
  • Civil Papers Served: 2,341
  • Civil Papers Attempted to Serve: 3,198
  • Subpoenas served: 1,685
  • Subpoenas attempted to serve: 866
  • Warrants served: 1,846
  • Warrants attempted to serve: 1,363
  • Warrantless Arrest: 1,473
  • Number of Assist: 2,761
  • Number of Search Warrants/Consent: 99
  • 911 Hang-ups Answered: 1,167
  • Alarm Calls Answered: 1,561
  • Cases Closed: 606
  • Sex Offender Checks: 360
  • Drug Cases: 634

Narcotics & Interdiction Unit:

  • Methamphetamine Seized: 15,368 grams
  • Marijuana Seized: 3,833 grams
  • Spice Seized: 180 grams
  • Pills: 1,193
  • Heroin: 30 grams
  • Cocaine: 203 grams
  • Cash Seized: $36,454.00
  • Cars Seized: 12

Vital statistics – Jan. 9-16, 2020 – Honolulu Star-Advertiser

Vital statistics - Jan. 9-16, 2020 - Honolulu Star-Advertiser nevin manimala
Vital statistics - Jan. 9-16, 2020 - Honolulu Star-Advertiser nevin manimala


Each week, the Honolulu Star-Advertiser publishes Oahu statistics for marriage licenses and birth certificates filed with the state Department of Health’s Vital Statistics System.

Filed on Oahu, Jan. 9 – 16

>> Hunter Jackson Bailey and Sydney Samantha Macleay

>> Lorna Uilani Baldomero and Joseph Hukilani Kelly

>> Troy Eugene Beaver and Melissa Rose Durn

>> Brenda Ann Busch and Shinichiro Sawada

>> Paul Andrew Cannon and Keri Kiyomi Tochiki

>> Anna Frances Cranshaw and Dennis John Russell

>> Michael David Creim and Nari Yoon

>> Bernardo Juan Diaz-Lagares and Teresa Marie Rogerson

>> Todd Duvall Dickerson and Kehaulani Yuriko Yamaguchi

>> Linnet Pokii Eaton and Jarrin Kaukaulele Bland Lessary

>> Stacy Maki Fukui and Dan Justin Kirihara

>> Onuma Gibson and Nathan Harry Gold

>> Donald James Hefley and Shannon Lynn Monson

>> Alisha Yvonne Jimenez and Santos Gabriel Perez Lopez

>> Guidan Wei Liang Kop and Noel Leiko Nakashima

>> Hongying Li and Lijia He

>> Shawn Tyler Linman and Jessica Anne Larson

>> Michael David Martin and Lilian Cuison Lauro

>> Jaime Keakamalulani McClucas and Ulysses Johnny Reyes Nomura

>> Chanel Kahealani’okuulei McKee and Grant David Keuma

>> Sheri LaRae McKernan and John Edward Kindell

>> Larry Edward McLennan and Tara Augustia Martin

>> Robin Lynn Mohn and John Erik Leezer

>> Monique Danielle Montoya and Benjamin Lee Vanlue

>> Jason Patrick Nairn and Kelly Susan Veenker

>> Shinichi Nakashima and Terumi Ito

>> Jamie Mayumi Nogami and Meyer Ryozo Uehara

>> James Otto Olson and Maria Isabelita Guerzon Bernardo

>> Lokahi Timothy Sueo Paikuli- Stride and Laycee Love Liston

>> Shannon Timothy Keikilani Palmero and Alana Lutu Kaohinani Fosi

>> Brian Joseph Reece and Jace Christian Saplan

>> Aaron David Rombaua and Jennifer Krysten Kealaonaonaokahinanoonahalaomapuanaikapaiaaalaopuna Ganal

>> Arjun Singh Sandhu and Leilani Pascual Magat

>> Kristopher Shane Sawyer and Theresa Elizabeth Paige Cooper

>> Joshua Munro Sweeney and Darla Janeen Carino

>> Mark Daniel Vennekotter and Joanna Susan Ramsumair

Filed on Oahu, Jan. 9 – 16

>> Adelaide Margaret Agresto

>> Arlo Kana‘i Aiu

>> Alivia Hali‘aokahale‘akala Juliette Aki

>> Shayston Kia‘i Kekoa Kalamau Akina

>> Conner James Alavekios

>> Gabriel Alexander Alford-Castillo

>> Chiyoko Clare Arensmeyer

>> Lipina Hope Aten

>> Ryla Emilia Atkins

>> Thomas Hayze Ho‘ailonake-aloha Kaaihue Au

>> Mark Steven Brison III

>> Ezekiel Kai Cannon

>> Kairo Edwin B. Carrilho

>> Mason Cheng

>> Mason Alexander Pu‘alionahokulani Correia

>> Acamus Oaklee Costa

>> Thor Noa Dudoit

>> Karsyn Brooke Flowers

>> Alianah Gayle Tolentino Gamiao

>> Hendrix Alexander Garnier

>> Sophia-Grace Jeanae Gouveia

>> Peyton Hou Jing Hoi

>> Kanaiaupuni Makue Infiel

>> Khloé Nevaeh Jefferson

>> Lee Jiang

>> Violet James Johnson

>> Kawekiulinohauikekukunaokala Anaia Terongomane

>> Maiki Kaimana Akamine Kajihiro

>> Tansen Kahakuloa Kakae

>> Cayde Kepakiano Kapukawai No Ke Anuenue Kauo-Bollig

>> Kamdyn Kalahikiolaikapohula‘i Kekahuna Guieb

>> Leo Grant Bargieri Lakoskey

>> Embrie-Rose Mahealani Sachiko Lanias

>> Taimalie-Alofa Ku‘Uipoikapoliomakanani Albino-Paraiso Laolagi

>> Vuk Dragan Lazarevic

>> Ethan Marx Lazo

>> Jaydence-Ryan Taiau Savili Leovao

>> Avianna-Bree Wilema Mae Felipe Locquiao

>> Nikholas Kala‘akeaola Mailou Jr.

>> Cleo Manami Muir

>> Lukas Ezekiel Murrieta-Lopez

>> Stefan Iosefo Lafoga Naiuli

>> Evelyn Kalea Nelsen

>> Paxton Kulamanu Paaluhi-Goodness

>> Shuka Malia Pearson

>> Amais Alexander Perez-Diaz

>> Naiya-Marie Ke‘alaonaonaokekai Quitog

>> Eisley ‘Ohi‘a Rachol

>> Graham Gelacio Ramos

>> Caleb Joseph Reimer

>> Logan Matthew Liva Romero

>> Kamden Green Rueffer

>> Chay Cassie Naomi Sasano

>> Ronan Russell Sears

>> Angel Pa‘aina Sharp

>> Lambert Lopaka Smeigh

>> Myjolynne McMercy Soumwei

>> Oshen Ka‘ahu‘ulaoka‘iolelekokikaukuali‘i Stamm Weisbarth-Tafaoimalo

>> Sun Makani Kouki Takebayashi

>> Ezra Dakota Teague

>> James-Andrew Kukamaehumekahanohano Thompson-Green

>> Jade Akemi Villanueva

>> Xavier Kealohilani Waiau

>> Romeo Stevie Wells

>> Ayva Love Worley