Posts filed under General (3152)

April 17, 2018

NRL Predictions for Round 7

Team Ratings for Round 7

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Storm 12.77 16.73 -4.00
Dragons 5.25 -0.45 5.70
Panthers 4.88 2.64 2.20
Wests Tigers 1.80 -3.63 5.40
Broncos 1.14 4.78 -3.60
Raiders 1.02 3.50 -2.50
Sharks 0.72 2.20 -1.50
Roosters 0.10 0.13 -0.00
Rabbitohs -0.77 -3.90 3.10
Cowboys -0.97 2.97 -3.90
Warriors -2.15 -6.97 4.80
Sea Eagles -2.38 -1.07 -1.30
Bulldogs -2.71 -3.43 0.70
Eels -4.83 1.51 -6.30
Knights -7.84 -8.43 0.60
Titans -8.34 -8.91 0.60

 

Performance So Far

So far there have been 48 matches played, 25 of which were correctly predicted, a success rate of 52.1%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Roosters vs. Rabbitohs Apr 12 14 – 26 6.50 FALSE
2 Storm vs. Knights Apr 13 40 – 14 23.20 TRUE
3 Dragons vs. Sharks Apr 13 40 – 20 5.50 TRUE
4 Warriors vs. Broncos Apr 14 18 – 27 2.90 FALSE
5 Cowboys vs. Bulldogs Apr 14 10 – 27 8.30 FALSE
6 Raiders vs. Eels Apr 14 18 – 2 7.70 TRUE
7 Panthers vs. Titans Apr 15 35 – 12 15.10 TRUE
8 Sea Eagles vs. Wests Tigers Apr 15 12 – 38 2.90 FALSE

 

Predictions for Round 7

Here are the predictions for Round 7. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Bulldogs vs. Roosters Apr 19 Bulldogs 0.20
2 Warriors vs. Dragons Apr 20 Dragons -2.90
3 Broncos vs. Storm Apr 20 Storm -8.60
4 Rabbitohs vs. Raiders Apr 21 Rabbitohs 1.20
5 Wests Tigers vs. Knights Apr 21 Wests Tigers 12.60
6 Cowboys vs. Titans Apr 21 Cowboys 10.40
7 Eels vs. Sea Eagles Apr 22 Eels 0.60
8 Sharks vs. Panthers Apr 22 Panthers -1.20

 

Aviva Premiership Predictions for Round 21

Team Ratings for Round 21

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Saracens 11.35 7.47 3.90
Exeter Chiefs 10.08 7.99 2.10
Wasps 5.98 5.89 0.10
Leicester Tigers 3.92 4.64 -0.70
Sale Sharks 1.07 -1.73 2.80
Bath Rugby 0.15 1.23 -1.10
Gloucester Rugby 0.08 0.21 -0.10
Newcastle Falcons -1.36 -3.33 2.00
Harlequins -2.13 0.84 -3.00
Northampton Saints -2.15 1.53 -3.70
Worcester Warriors -5.67 -4.37 -1.30
London Irish -5.89 -4.94 -1.00

 

Performance So Far

So far there have been 120 matches played, 83 of which were correctly predicted, a success rate of 69.2%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Newcastle Falcons vs. Sale Sharks Apr 13 35 – 30 -0.00 FALSE
2 Gloucester Rugby vs. Harlequins Apr 14 37 – 9 3.70 TRUE
3 Leicester Tigers vs. Northampton Saints Apr 14 21 – 27 10.20 FALSE
4 Wasps vs. Worcester Warriors Apr 14 30 – 15 14.60 TRUE
5 London Irish vs. Exeter Chiefs Apr 15 5 – 45 -11.20 TRUE
6 Saracens vs. Bath Rugby Apr 15 41 – 6 12.80 TRUE

 

Predictions for Round 21

Here are the predictions for Round 21. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Leicester Tigers vs. Newcastle Falcons Apr 27 Leicester Tigers 8.30
2 Exeter Chiefs vs. Sale Sharks Apr 28 Exeter Chiefs 12.00
3 Gloucester Rugby vs. Bath Rugby Apr 28 Gloucester Rugby 2.90
4 Worcester Warriors vs. Harlequins Apr 28 Harlequins -0.50
5 London Irish vs. Saracens Apr 29 Saracens -14.20
6 Wasps vs. Northampton Saints Apr 29 Wasps 11.10

 

April 13, 2018

Nibiru watch

The Herald website has just published another story about the imaginary and invisible planet Nibiru. That’s in addition to the nine from last year.

  • 18 Nov: Conspiracy theorists claim mysterious planet Nibiru will trigger apocalyptic earthquakes
  • 25 Sep: Nibiru: How the nonsense Planet X Armageddon and Nasa fake news theories spread globally
  • 30 Oct: The end of the world as we know it (again)
  • 23 Sep: How the nonsense Planet X Armageddon, Nasa fake news spread globally
  • 19 Sep: The world is about to end, if you believe this doomsday claim
  • 30 Aug: Claims new planet ‘about to destroy Earth’ and clues written on pyramids
  • 23 Sep: ‘Extremely violent times will come’: TV broadcast interrupted with end-of-world prediction
  • 9 Aug: Rogue planet about to smash into Earth, claim conspiracy theorists
  • 4 Jan: Conspiracy theorist claims mysterious planet Nibiru will smash into Earth and the world will end in October 2017

As you see, two of the stories ask how this nonsense theory spread globally.

One says, with a splendid lack of self-awareness

Despite absolutely no scientific evidence to back up the suggestions of a rogue planet getting rapidly closer to Earth, myths about Planet X continue to be perpetuated online, according to the Telegraph UK.

Indeed they do.

Briefly

An ‘insufficient data’ edition

  • Data quality matters: the high rate of death reported for women giving birth in Texas seems to have been partly a data entry error.  Researchers say Approximately half (50.3%) of obstetric-coded deaths showed no evidence of pregnancy within 42 days, and a large majority of these incorrectly indicated pregnancy at the time of death. That is, these were real deaths, but not related to pregnancy. The research paper also says “Texas’ current electronic death registration system displays pregnancy status options as a dropdown list. The “pregnant at the time of death” option is directly below the “not pregnant within the past year” option”  Via Ars Technica.
  • The new cancer drug pembrolizumab (Keytruda) is spectacularly effective across a wide range of tumours, but typically for a minority of patients. In the US, the FDA has approved its marketing for any tumour with a particular defect in DNA repair, but testing for that defect is not as reliable as one would like. The story in Nature News focuses on false negatives: people who would benefit but aren’t found by the test.  In New Zealand, false positives are also important: these new drugs would be more cost-effective and so more likely to be subsidised if you could avoid giving them to people who wouldn’t benefit.
  • There’s a new claim that kumara got to the Pacific Islands before people did, in the New York Timesbased on this research. Basically, the DNA from samples collected by the first European botanists in Polynesia has quite a lot of minor differences from modern sweet potatoes in the Americas, suggesting that its ancestors had been separated from the rest of the sweet potato lineage for over 100,000 years.  However, Lisa Matisoo-Smith and Michael Knapp from Otago argue that the samples are old enough — nearly 250 years — that the DNA will have been degraded and needs to be analysed with special obsessively-detailed protocols for old DNA.  That is, the evidence isn’t nearly strong enough to overturn the other reasons for thinking kumara were brought from South America by humans.
April 11, 2018

Aviva Premiership Predictions for Round 20

I have been meaning to add some additional competitions to my predictions. I have now implemented predictions for the Aviva Premiership, starting a bit late in the season, with only a few rounds to go.

Team Ratings for Round 20

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

 

Current Rating Rating at Season Start Difference
Saracens 10.63 7.47 3.20
Exeter Chiefs 9.19 7.99 1.20
Wasps 5.96 5.89 0.10
Leicester Tigers 4.48 4.64 -0.20
Sale Sharks 1.37 -1.73 3.10
Bath Rugby 0.86 1.23 -0.40
Gloucester Rugby -0.69 0.21 -0.90
Harlequins -1.36 0.84 -2.20
Newcastle Falcons -1.66 -3.33 1.70
Northampton Saints -2.70 1.53 -4.20
London Irish -5.00 -4.94 -0.10
Worcester Warriors -5.65 -4.37 -1.30

 

Performance So Far

So far there have been 114 matches played, 79 of which were correctly predicted, a success rate of 69.3%.
Here are the predictions for last week’s games.

 

Game Date Score Prediction Correct
1 Sale Sharks vs. Wasps Apr 07 28 – 27 -1.90 FALSE
2 Northampton Saints vs. Saracens Apr 08 13 – 63 -7.90 TRUE
3 Bath Rugby vs. Leicester Tigers Apr 07 19 – 34 -2.70 TRUE
4 Worcester Warriors vs. Newcastle Falcons Apr 08 27 – 13 -2.10 FALSE
5 Harlequins vs. London Irish Apr 08 5 – 35 8.90 FALSE
6 Exeter Chiefs vs. Gloucester Rugby Apr 09 46 – 10 11.30 TRUE

 

Predictions for Round 20

Here are the predictions for Round 20. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

 

Game Date Winner Prediction
1 Newcastle Falcons vs. Sale Sharks Apr 13 Sale Sharks -0.00
2 Gloucester Rugby vs. Harlequins Apr 14 Gloucester Rugby 3.70
3 Leicester Tigers vs. Northampton Saints Apr 14 Leicester Tigers 10.20
4 Wasps vs. Worcester Warriors Apr 14 Wasps 14.60
5 London Irish vs. Exeter Chiefs Apr 15 Exeter Chiefs -11.20
6 Saracens vs. Bath Rugby Apr 15 Saracens 12.80

 

April 10, 2018

Super 15 Predictions for Round 9

Team Ratings for Round 9

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Hurricanes 15.91 16.18 -0.30
Crusaders 15.52 15.23 0.30
Highlanders 10.17 10.29 -0.10
Chiefs 9.45 9.29 0.20
Lions 8.80 13.81 -5.00
Sharks 1.44 1.02 0.40
Stormers -0.23 1.48 -1.70
Blues -0.46 -0.24 -0.20
Brumbies -1.19 1.75 -2.90
Waratahs -1.38 -3.92 2.50
Bulls -3.07 -4.79 1.70
Jaguares -4.82 -4.64 -0.20
Reds -8.83 -9.47 0.60
Rebels -9.23 -14.96 5.70
Sunwolves -19.51 -18.42 -1.10

 

Performance So Far

So far there have been 48 matches played, 33 of which were correctly predicted, a success rate of 68.8%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Hurricanes vs. Sharks Apr 06 38 – 37 20.80 TRUE
2 Sunwolves vs. Waratahs Apr 07 29 – 50 -13.20 TRUE
3 Chiefs vs. Blues Apr 07 21 – 19 15.00 TRUE
4 Brumbies vs. Reds Apr 07 45 – 21 9.40 TRUE
5 Lions vs. Stormers Apr 07 52 – 31 11.40 TRUE
6 Jaguares vs. Crusaders Apr 07 14 – 40 -15.00 TRUE

 

Predictions for Round 9

Here are the predictions for Round 9. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Hurricanes vs. Chiefs Apr 13 Hurricanes 10.00
2 Sunwolves vs. Blues Apr 14 Blues -15.00
3 Rebels vs. Jaguares Apr 14 Jaguares -0.40
4 Highlanders vs. Brumbies Apr 14 Highlanders 15.40
5 Waratahs vs. Reds Apr 14 Waratahs 10.90
6 Sharks vs. Bulls Apr 14 Sharks 8.00

 

NRL Predictions for Round 6

Team Ratings for Round 6

The basic method is described on my Department home page. Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

  Current Rating Rating at Season Start Difference
Storm 12.57 16.73 -4.20
Panthers 4.33 2.64 1.70
Dragons 4.23 -0.45 4.70
Sharks 1.74 2.20 -0.50
Roosters 1.39 0.13 1.30
Cowboys 0.80 2.97 -2.20
Raiders 0.43 3.50 -3.10
Broncos 0.31 4.78 -4.50
Wests Tigers -0.22 -3.63 3.40
Sea Eagles -0.36 -1.07 0.70
Warriors -1.32 -6.97 5.70
Rabbitohs -2.07 -3.90 1.80
Eels -4.24 1.51 -5.80
Bulldogs -4.48 -3.43 -1.10
Knights -7.65 -8.43 0.80
Titans -7.78 -8.91 1.10

Performance So Far

So far there have been 40 matches played, 21 of which were correctly predicted, a success rate of 52.5%.
Here are the predictions for last week’s games.

  Game Date Score Prediction Correct
1 Raiders vs. Bulldogs Apr 05 26 – 10 6.60 TRUE
2 Sharks vs. Roosters Apr 06 10 – 28 6.80 FALSE
3 Dragons vs. Rabbitohs Apr 06 16 – 12 10.20 TRUE
4 Wests Tigers vs. Storm Apr 07 11 – 10 -15.00 FALSE
5 Warriors vs. Cowboys Apr 07 22 – 12 1.10 TRUE
6 Knights vs. Broncos Apr 07 15 – 10 -6.60 FALSE
7 Titans vs. Sea Eagles Apr 08 32 – 20 -7.10 FALSE
8 Eels vs. Panthers Apr 08 6 – 12 -5.50 TRUE

Predictions for Round 6

Here are the predictions for Round 6. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

  Game Date Winner Prediction
1 Roosters vs. Rabbitohs Apr 12 Roosters 6.50
2 Storm vs. Knights Apr 13 Storm 23.20
3 Dragons vs. Sharks Apr 13 Dragons 5.50
4 Warriors vs. Broncos Apr 14 Warriors 2.90
5 Cowboys vs. Bulldogs Apr 14 Cowboys 8.30
6 Raiders vs. Eels Apr 14 Raiders 7.70
7 Panthers vs. Titans Apr 15 Panthers 15.10
8 Sea Eagles vs. Wests Tigers Apr 15 Sea Eagles 2.90

 

Algorithmic Impact Assessments

There’s a new report from New York University’s AI Now Institute, giving recommendations for algorithmic impact assessments (PDF). Worth reading for anyone who is or should be interested in criteria for automated decision systems. As the researchers say:

AIAs will not solve all of the problems that automated decision systems might raise, but they do provide an important mechanism to inform the public and to engage policymakers and researchers in productive conversation. With this in mind, AIAs are designed to achieve four key policy goals:

  1. Respect the public’s right to know which systems impact their lives by publicly listing and describing automated decision systems that signi cantly a ect individuals and communities;
  2. Increase public agencies’ internal expertise and capacity to evaluate the systems they build or procure, so they can anticipate issues that might raise concerns, such as disparate impacts or due process violations;
  3. Ensure greater accountability of automated decision systems by providing a meaningful and ongoing opportunity for external researchers to review, audit, and assess these systems using methods that allow them to identify and detect problems; and
  4. Ensure that the public has a meaningful opportunity to respond to and, if necessary, dispute the use of a given system or an agency’s approach to algorithmic accountability.

(via Harkanwal Singh)

The Immigration NZ model: recap

Original post

To begin with: Yes, everyone being evaluated was already eligible for deportation.

There were two main categories of feedback on this point: the ‘Manus Island’ tendency, arguing they’re all guilty and so it doesn’t matter how you treat them, and the people pointing out that a model could perhaps make better decisions that an individual immigration officer.  The first group have, I think, missed an important issue: the arguments given by Immigration NZ for this model being a good thing would apply anywhere else in the immigration system or the justice system where there is currently discretion — eg, police discretion to prosecute.

The second group do have a good point (which is why it’s a point I made in my original post), but only if the model is constructed well and, ideally, audited.  As I said, it didn’t look like we had that sort of model. Today, we got more information about the model, thanks to Radio NZ’s Morning Report. Here’s a PDF of the spreadsheet and the briefing document (dated April 6, so potentially cleaned up after the initial publicity).  It’s a spreadsheet, simply adding up points for a bunch of categories, with minimal scaling for importance based on Immigration NZ’s expert knowledge or fitting to empirical data.

It’s not especially surprising that the harm model is a bit crap. What is surprising is that the Minister thinks this is a good thing

He said he was concerned about misconceptions around the pilot programme.

“Some people were talking about a sophisticated algorithm some people were talking about racial profiling, both of those are incorrect and I think it’s very important that the public know exactly what this is, and what it isn’t,” he said.

“This is not modelling or a predictive tool – this is a spreadsheet that they put some information into and they rank people based on that information.”

That’s not a defence; it’s an indictment.

April 9, 2018

Briefly

In a 2003 study, 19 percent of teens who claimed to be adopted actually weren’t, according to follow-up interviews with their parents. When you excluded these kids (who also gave extreme responses on other items), the study no longer found a significant difference between adopted children and those who weren’t on behaviors like drug use, drinking and skipping school