Posts from November 2020 (25)

November 17, 2020

Rugby Premiership Predictions for Round 1

Team Ratings for Round 1

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
Exeter Chiefs 7.35 7.35 0.00
Wasps 5.66 5.66 -0.00
Sale Sharks 4.96 4.96 -0.00
Bath 2.14 2.14 0.00
Bristol 1.28 1.28 -0.00
Gloucester -1.02 -1.02 0.00
Harlequins -1.08 -1.08 -0.00
Northampton Saints -2.48 -2.48 0.00
Worcester Warriors -5.71 -5.71 0.00
Leicester Tigers -6.14 -6.14 -0.00
London Irish -8.05 -8.05 -0.00
Newcastle Falcons -10.00 -10.00 0.00

 

Predictions for Round 1

Here are the predictions for Round 1. 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 Harlequins vs. Exeter Chiefs Nov 21 Exeter Chiefs -3.90
2 Sale Sharks vs. Northampton Saints Nov 21 Sale Sharks 11.90
3 Bath vs. Newcastle Falcons Nov 21 Bath 16.60
4 Leicester Tigers vs. Gloucester Nov 22 Gloucester -0.60
5 Worcester Warriors vs. London Irish Nov 22 Worcester Warriors 6.80
6 Wasps vs. Bristol Nov 23 Wasps 8.90

 

Pro14 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
Leinster 18.93 16.52 2.40
Munster 9.02 9.90 -0.90
Ulster 7.30 4.58 2.70
Edinburgh 4.77 5.49 -0.70
Glasgow Warriors 3.90 5.66 -1.80
Scarlets 1.43 1.98 -0.60
Cardiff Blues 0.55 0.08 0.50
Connacht 0.54 0.70 -0.20
Cheetahs -0.46 -0.46 0.00
Ospreys -2.72 -2.82 0.10
Treviso -4.48 -3.50 -1.00
Dragons -8.69 -7.85 -0.80
Southern Kings -14.92 -14.92 0.00
Zebre -15.18 -15.37 0.20

 

Performance So Far

So far there have been 32 matches played, 23 of which were correctly predicted, a success rate of 71.9%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Connacht vs. Scarlets Nov 15 14 – 20 6.70 FALSE
2 Munster vs. Ospreys Nov 16 38 – 22 18.70 TRUE
3 Zebre vs. Ulster Nov 17 14 – 57 -14.10 TRUE
4 Cardiff Blues vs. Treviso Nov 17 22 – 5 10.30 TRUE
5 Leinster vs. Edinburgh Nov 17 50 – 10 19.20 TRUE

 

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 Zebre vs. Connacht Nov 23 Connacht -9.20
2 Ospreys vs. Treviso Nov 23 Ospreys 8.30
3 Leinster vs. Cardiff Blues Nov 23 Leinster 24.90
4 Ulster vs. Scarlets Nov 23 Ulster 12.40
5 Dragons vs. Edinburgh Nov 24 Edinburgh -7.00
6 Glasgow Warriors vs. Munster Nov 24 Glasgow Warriors 1.40

 

Mitre 10 Cup Predictions for the Mitre 10 Cup Semi-Finals

Team Ratings for the Mitre 10 Cup Semi-Finals

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
Tasman 11.99 15.13 -3.10
Auckland 8.58 6.75 1.80
Canterbury 6.78 8.40 -1.60
Bay of Plenty 5.97 8.21 -2.20
Wellington 5.73 6.47 -0.70
North Harbour 5.23 2.87 2.40
Hawke’s Bay 2.56 0.91 1.70
Waikato 1.63 1.31 0.30
Otago -2.13 -4.03 1.90
Taranaki -3.06 -4.42 1.40
Northland -6.67 -8.71 2.00
Counties Manukau -10.75 -8.18 -2.60
Southland -10.78 -14.04 3.30
Manawatu -14.98 -10.57 -4.40

 

Performance So Far

So far there have been 70 matches played, 46 of which were correctly predicted, a success rate of 65.7%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Counties Manukau vs. Southland Nov 13 25 – 17 2.10 TRUE
2 Northland vs. Waikato Nov 14 28 – 17 -7.70 FALSE
3 Otago vs. Tasman Nov 14 20 – 26 -12.00 TRUE
4 Wellington vs. Manawatu Nov 14 31 – 5 23.10 TRUE
5 Bay of Plenty vs. North Harbour Nov 15 37 – 33 3.70 TRUE
6 Taranaki vs. Hawke’s Bay Nov 15 33 – 34 -3.00 TRUE
7 Canterbury vs. Auckland Nov 15 34 – 33 1.20 TRUE

 

Predictions for the Mitre 10 Cup Semi-Finals

Here are the predictions for the Mitre 10 Cup Semi-Finals. 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 Otago vs. Northland Nov 20 Otago 7.50
2 Auckland vs. Waikato Nov 21 Auckland 10.00
3 Hawke’s Bay vs. Taranaki Nov 21 Hawke’s Bay 8.60
4 Tasman vs. Bay of Plenty Nov 21 Tasman 9.00

 

And then there were two

We have data on a second Covid vaccine candidate, and it’s similar to the first one.  Moderna  released their first analysis results today: out of 95 cases of Covid, 90 were in the placebo group and 5 in the vaccine group . Even better, they had enough cases of serious disease to analyse, and these split 11:0.

Both of the vaccines use the same new technology, where little bits of messenger RNA, coding for the virus spike protein are introduced into your cells. Your cells make the protein just as if they’d been infected and your immune system reacts.  At least, that was the theory, and it does seem to have worked.   We haven’t heard from any of the trials using more traditional technologies, which would produce vaccines that are easier to distribute and may be easier to manufacture by the truckload.

The next important step, fairly soon, is an FDA external advisory committee meeting.  This should be more informative than peer-reviewed publication: it’s peer review, but involving a lot more information than goes into a published paper, and a wider range of reviewers — and it’s done in public.

There are still problems to be considered:

  1. The vaccines have not been tested in children or pregnant women. That’s standard, except for treatments specifically aimed at children or pregnant women, but it’s an important gap.  The pregnancy exclusion is probably less important from a public health point of view, since a very small fraction of the population is pregnant at any given time. Kids, though.
  2. We don’t know yet how long protection lasts — if it’s only a few months, that’s a problem
  3. We don’t know yet how much asymptomatic infection is prevented
  4. NZ doesn’t seem to have bought any of the Moderna vaccine yet — the Minister says we’re in negotiations

Also, these vaccines are going to have more short-term side effects than we may be used to: a lot of people will feel a bit average the day after a dose, and a decent chunk will feel pretty average. That’s going to help the vaccine misinformation pushers, especially if health authorities aren’t honest about it.

November 13, 2020

Value of a degree

Simon Collins (and Chris Knox) at the NZ$ Herald have an interesting piece about the relative incomes of university graduates and other people. It’s definitely worth reading (even though you can’t look up Statistics or Data Science or Journalism).  However, there’s a built-in assumption of causation that is not entirely justified

Getting a degree can earn you a cool $1.3 million more over your lifetime than leaving school and going straight into work – but the gains vary wildly depending on what subject you study.

One of the irritating features of Graduation at the University of Auckland is that the Chancellor’s speech always includes a similar claim

We know that, compared to those whose formal education ends in high school, graduates have lower unemployment rates, higher salaries, better career prospects, and better health outcomes.

I actually used this as the topic for an exam question on causal inference in first semester.  The preamble to the question says

In economics and sociology there are competing theories to explain the higher income of people with university degrees. Here are three possible examples:

  • A Human Capital theory says that university education improves both specific knowledge about certain topics and some general reasoning and communication skills, so that people who gain university degrees become more valuable employees than they would otherwise have been. Some degrees are more valuable than others because you learn more employment-relevant skills doing them.
  • A Signalling theory says that university education is difficult, and gaining a university degree shows employers that you are more able than other potential employees, even though the education you receive is not valuable to the employer. Some degrees are more valuable than others because they are more difficult and so people who get those degrees have higher average ability.
  • A Social Stratification theory says that university education functions to show that you come from a relatively affluent or otherwise high-status family, and so you are not the sort of person that the employer likes to discriminate against. Some degrees are more valuable than others because they discriminate more effectively against low-status people.

These theories are probably all true in part.  Under the first theory, the increase in income is due to your study, but under the other two it’s only partly due to your degree and you’d probably have a higher than average income anyway.  The difference matters most for members of underrepresented groups: under the first theory, they’d benefit as much as anyone from education. Under the second theory they’d benefit more, but under the third theory they’d benefit a lot less.

November 10, 2020

Top 14 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
Racing-Metro 92 5.96 6.21 -0.30
Lyon Rugby 5.91 5.61 0.30
La Rochelle 5.21 2.32 2.90
Stade Toulousain 4.67 4.80 -0.10
Clermont Auvergne 4.24 3.22 1.00
RC Toulonnais 3.46 3.56 -0.10
Bordeaux-Begles 3.04 2.83 0.20
Montpellier 2.55 2.30 0.20
Stade Francais Paris -1.55 -3.22 1.70
Castres Olympique -1.64 -0.47 -1.20
Section Paloise -3.29 -4.48 1.20
Brive -4.38 -3.26 -1.10
Aviron Bayonnais -5.30 -4.13 -1.20
SU Agen -8.33 -4.72 -3.60

 

Performance So Far

So far there have been 47 matches played, 34 of which were correctly predicted, a success rate of 72.3%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 RC Toulonnais vs. Brive Nov 06 35 – 19 12.90 TRUE
2 Stade Toulousain vs. Castres Olympique Nov 07 16 – 16 12.80 FALSE
3 Bordeaux-Begles vs. Aviron Bayonnais Nov 07 43 – 19 13.00 TRUE
4 Racing-Metro 92 vs. Section Paloise Nov 07 24 – 22 15.70 TRUE
5 SU Agen vs. Lyon Rugby Nov 08 16 – 19 -9.70 TRUE
6 La Rochelle vs. Clermont Auvergne Nov 08 19 – 10 6.10 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 Aviron Bayonnais vs. Montpellier Nov 14 Montpellier -2.40
2 Brive vs. Racing-Metro 92 Nov 14 Racing-Metro 92 -4.80
3 Castres Olympique vs. Bordeaux-Begles Nov 14 Castres Olympique 0.80
4 Clermont Auvergne vs. Lyon Rugby Nov 14 Clermont Auvergne 3.80
5 Section Paloise vs. Stade Toulousain Nov 14 Stade Toulousain -2.50
6 Stade Francais Paris vs. La Rochelle Nov 14 La Rochelle -1.30
7 SU Agen vs. RC Toulonnais Nov 14 RC Toulonnais -6.30

 

Pro14 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
Leinster 18.18 16.52 1.70
Munster 9.27 9.90 -0.60
Ulster 6.35 4.58 1.80
Edinburgh 5.53 5.49 0.00
Glasgow Warriors 3.90 5.66 -1.80
Connacht 1.08 0.70 0.40
Scarlets 0.90 1.98 -1.10
Cardiff Blues -0.05 0.08 -0.10
Cheetahs -0.46 -0.46 0.00
Ospreys -2.96 -2.82 -0.10
Treviso -3.87 -3.50 -0.40
Dragons -8.69 -7.85 -0.80
Zebre -14.23 -15.37 1.10
Southern Kings -14.92 -14.92 0.00

 

Performance So Far

So far there have been 27 matches played, 19 of which were correctly predicted, a success rate of 70.4%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Ospreys vs. Leinster Nov 09 7 – 26 -13.70 TRUE
2 Scarlets vs. Zebre Nov 09 18 – 17 23.20 TRUE
3 Edinburgh vs. Cardiff Blues Nov 10 18 – 0 10.80 TRUE
4 Ulster vs. Glasgow Warriors Nov 10 40 – 15 7.60 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 Connacht vs. Scarlets Nov 15 Connacht 6.70
2 Munster vs. Ospreys Nov 16 Munster 18.70
3 Glasgow Warriors vs. Dragons Nov 16 Glasgow Warriors 19.10
4 Zebre vs. Ulster Nov 17 Ulster -14.10
5 Cardiff Blues vs. Treviso Nov 17 Cardiff Blues 10.30
6 Leinster vs. Edinburgh Nov 17 Leinster 19.20

 

Covid vaccine

So, there’s good news about the Pfizer vaccine.  Some context:

  1. What we have now is just a press release. However, the analysis and criteria were specified in advance, and we actually have that document, so it’s less fuzzy than it might be
  2. Data are still coming in, so the estimate of vaccine efficacy will change over time to some extent.  In particular, we wouldn’t have heard anything if the estimated efficacy wasn’t at least 63%, so the current estimate is likely a bit too high.  The current estimate is so far above the threshold of 63% that this bias shouldn’t be huge
  3. The trial focuses on preventing symptomatic infection. We haven’t heard anything about the impact on serious disease or on asymptomatic disease. The impact on serious disease is, oddly, less important, since the vaccine is good enough for herd immunity. However, if the vaccine (a bit implausibly) had no effect on serious disease and just made symptomatic infections asymptomatic, it wouldn’t be that much use.  Pfizer are collecting this information; it just wasn’t in the press release.
  4. The next important step isn’t peer-reviewed publication, it’s the FDA external advisory committee meeting. These are public and involve scientists and doctors external to the FDA who get to ask Pfizer questions and have them answered.  If the advisory committee is strongly in favour of emergency authorisation, I would expect Medsafe to reach the same conclusion.
  5. Duration of effect matters.  We cannot possibly know for another year whether protection lasts for a year (which would be plenty).  Very short duration of protection would still have some use for making travel safer and for ring-fencing small outbreaks, but it wouldn’t have much impact on the pandemic
  6.  New Zealand is in line for enough vaccine for  750,000 people, and Megan Woods says it could arrive early next year.  That’s not enough to have any noticeable impact on population spread, but it is enough to reduce transmission to border staff and healthcare workers. It might even allow some increase in the safe admission to NZ of temporary workers or students — the government needs to decide how to allocate the vaccine.  Expanding on this: a vaccine could be used to reduce the probability of an outbreak, to increase travel and help the economy, or to reduce the harm of an outbreak (eg vaccinating elderly people). These are all worthwhile and the detailed choice is a policy question.
  7. Mass vaccination won’t happen for a while.  Even if other candidate vaccines are effective (increasing the number of suppliers), mass vaccination in NZ is probably at least a year away
  8. If the current estimate holds up, the vaccine is effective enough that we might get reasonable herd immunity by vaccinating only people who actually want to be vaccinated, which would make life simpler.
  9. The Covid vaccines seem to have a higher rate of mild adverse effects than most vaccines we’re used to. It’s important not to deny these, and it would be useful if there were careful monitoring of adverse event rates in the first wave of NZ vaccine recipients by, eg, the NZ Pharmacovigilance Centre

Super Rugby Unlocked 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
Sharks 1.86 4.01 -2.10
Bulls 1.84 -1.45 3.30
Stormers 0.41 1.00 -0.60
Lions -3.00 -4.82 1.80
Cheetahs -7.75 -10.00 2.20
Pumas -11.27 -10.00 -1.30
Griquas -13.35 -10.00 -3.30

 

Performance So Far

So far there have been 14 matches played, 10 of which were correctly predicted, a success rate of 71.4%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Sharks vs. Cheetahs Nov 06 19 – 13 15.50 TRUE
2 Griquas vs. Stormers Nov 07 6 – 39 -5.70 TRUE
3 Lions vs. Bulls Nov 07 25 – 30 0.70 FALSE

 

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 Griquas vs. Sharks Nov 13 Sharks -10.70
2 Lions vs. Pumas Nov 14 Lions 12.80
3 Stormers vs. Cheetahs Nov 14 Stormers 12.70

 

Mitre 10 Cup Predictions for Round 10

Team Ratings for Round 10

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
Tasman 12.46 15.13 -2.70
Auckland 8.56 6.75 1.80
Canterbury 6.80 8.40 -1.60
Bay of Plenty 5.94 8.21 -2.30
Wellington 5.44 6.47 -1.00
North Harbour 5.26 2.87 2.40
Waikato 2.84 1.31 1.50
Hawke’s Bay 2.77 0.91 1.90
Otago -2.59 -4.03 1.40
Taranaki -3.26 -4.42 1.20
Northland -7.87 -8.71 0.80
Southland -10.33 -14.04 3.70
Counties Manukau -11.20 -8.18 -3.00
Manawatu -14.70 -10.57 -4.10

 

Performance So Far

So far there have been 63 matches played, 40 of which were correctly predicted, a success rate of 63.5%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Southland vs. Otago Nov 06 32 – 15 -7.80 FALSE
2 Auckland vs. Northland Nov 07 24 – 20 21.70 TRUE
3 North Harbour vs. Counties Manukau Nov 07 32 – 5 18.20 TRUE
4 Tasman vs. Canterbury Nov 07 0 – 29 13.50 FALSE
5 Hawke’s Bay vs. Wellington Nov 08 34 – 18 -2.00 FALSE
6 Waikato vs. Bay of Plenty Nov 08 30 – 33 0.50 FALSE
7 Manawatu vs. Taranaki Nov 08 19 – 35 -7.20 TRUE

 

Predictions for Round 10

Here are the predictions for Round 10. 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 Counties Manukau vs. Southland Nov 13 Counties Manukau 2.10
2 Northland vs. Waikato Nov 14 Waikato -7.70
3 Otago vs. Tasman Nov 14 Tasman -12.00
4 Wellington vs. Manawatu Nov 14 Wellington 23.10
5 Bay of Plenty vs. North Harbour Nov 15 Bay of Plenty 3.70
6 Taranaki vs. Hawke’s Bay Nov 15 Hawke’s Bay -3.00
7 Canterbury vs. Auckland Nov 15 Canterbury 1.20