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Baseball Primer Newsblog— The Best News Links from the Baseball Newsstand
Tuesday, April 28, 2020
So, with the very likely possibility that baseball and basketball — at minimum — will be played to empty stadiums, it begs the question: Will it be as fun?
And before you answer, think about it for a second. No crowd noise. No intensity that builds for the home team or against the away team. Yes, the scoreboard will tell the tale, but the pressure is cranked up when you have a building full of crazy fans screaming their lungs out.
I get that it’s a business and that the money’s at the ML level, but considering crowds, distance from population centers, and the pleasures of relaxed fandom, I’ve been thinking that we might just run some mLs instead.
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Almost no country in Europe, except maybe Scandinavia, is going to have fewer deaths in this second wave than in the Spring. All of Eastern Europe has already passed their small or non-existent first waves, in both peak and overall magnitude (i.e., total deaths). Switzerland and Portugal have now passed it in both as well. Germany has passed it on peak and just about equaled it in magnitude. That just leaves the rest of Western Europe, all of which are likely to have long downslope tails: France topped out at 65% of peak, but is already 70% of the way in magnitude; the UK seems to be topping out now at 50% of peak, but is already 50% of magnitude as well; Belgium topped out at 70% peak, and is now at 70% magnitude; Netherlands topped out at 60% peak, and is now at 60% magnitude; Spain has a very different shape, but may be topping out at 35%, with 60% magnitude so far. The only success stories in Europe are Ireland, with their extreme measures, and Scandinavia, where the jury is still very much out, as cases and deaths have been rising.
* not the one that Florida actually hired to do data analysis.
please understand that i am not mathly gifted. i looked up what square root is but do not understand why it has anything to do with whether or not you get a yes/no answer to something (like the coins). i would appreciate it is you would pls explain. thx
if you have only 20K people who get a vaccine, then you are only guessing that 1% have even been exposed and if you don't continue to test or do antibodies, you can't possibly know how many were actually infected, only people who have symptoms. so 1% of 20K is only 200 people, and the death rate is even .5% then you wouldn't get more than 1 person dying. that is really not enough in mah not so umble opinyin, to be sure that the infections with this vaccine are any good at preventing death. even only 20 people with any symptoms you might not get anything serious or death. i don't understand why you think this is not an extremely small sample size.
ESPECIALLY if any of those 20K people were masking/social distancing, which we don't know
Check out the Wikipedia page on standard error.
If this helps, I think that all of the 44,000 people in the trial (including those getting the placebo) are regularly tested throughout, so they have a pretty good idea how many were infected - and the fact that nearly 20 times as many people were infected in the placebo group as in the vaccinated group suggests to me a pretty high degree of confidence that it's not just random chance. Although I also don't have the maths to prove it.
i knew how low on the maths scale i am when i was trying to figure out "adjustment factors" for any baseball stat that is not easily done by simple calculator. when aaron gleeman came up with his gpa, he adjusted by "a factor" that i got no idea where he got it from, to make the numbers look the way he wanted them.
but then again, i am the one who thinks reached on error, dropped third strike reaching 1st base should be added up in OBP
So, the very short is if you're testing forty thousand people, you give half the vaccine, and half nothing. Then, the half you give nothing will let you know roughly what happened to the other half you gave the vaccine.
There's a little bit of randomness - in a group of 20 000 Americans, ~20 will be named Brian, but if the first group had 24 and the second had 18, that could just be chance. So, you measure the number of Brians in the first group, you find 20, you can reasonably guess the second group will have 15-25, and be very confident it won't be 0 or 1100, right? Any human trials work the same way. The exact numbers are slightly more complicated, but not much. The total number of people you might be wrong by goes up as the total number of people you measure goes up, but the fraction goes down.
The math isn't that hard, but unless you do it a lot it's not on your finger tips; but it's a random walk, or drunken walk. Drink a dozen beer, and walk away from something. The longer you walk, the farther you get. But walk twice as long, you don't get twice as far, because you wander and stagger around. I know I do (but I live closer to Belgium, so obviously I drink more beer).
Lisa, without getting into the math of it, think about it like you would think about sample sizes in baseball. If you have two guys, and one goes 1/10 and the other goes 3/10, it doesn't really tell you much. If they go 10/100 and 30/100, you're pretty confident the guy who had 30 hits is a lot better. And if one bats .100 over a full season and the other bats .300, you're virtually sure the .300 guy is much better and you don't need to see a full career from both of them to come to that conclusion.
This is a similar concept except the difference in magnitude appears to have been even greater -- 162 people on the placebo contracted COVID whereas only 8 people on the vaccine contracted it, if I'm reading the article correctly.
Yes, new records. America #### Yeah!
Article by the Covid Tracking Project at the Atlantic site.
A couple of weeks ago we were getting +55, +60.
Yesterday it was +126.
Thanks, anti-maskers. I hope you get an imaginary vaccine for this imaginary virus. And I'm sure an imaginary hospital bed will fill your needs.
- i tried reading that page and i know it is not meant for math geenyusses, but i am stuck at the part about "error" because there IS no error, the numbers are real. i know if you check ML stats, that the average BA is gonna be X and there will be players on either side, but their averages are REAL, there isn't any error in uncorrected hitting stats even though the BA lined up from worst to best is gonna show a curve like that
after the first 3 sentences when they started showing actual math with all thse symbols i don't know what they mean, i had to let it slide
- stay safe tony
and don't worry about the anti maskers. first off, they are White and White people don't get the covid, which don't exist seeing as how donny poo said so, and so they ain't gettin no vaccine, seeing as how it is for no reason, and if they get sick and in the hospital or on a respirator, well then it is because it is really flu and those EVULLLLL doctors are lying about it so as to get more money, as donnie poo said. he has killed more americans than any other president
OK, now I fe3e3l totally through the looking glass. Or is it that someone's too busy fighting Hugo Chavez to stop the task force from admitting there's a virus?
CDC estimate is 335,000 or 368,000, depending on which count of theirs you use, but that includes nothing for the last three (very bad) weeks, and is definitely low for at least the three weeks prior to the last three. Adding those in and there's pretty much no way you get an estimate much less than 400,000 for the CDC, and it could very easily be over 450,000. Unfortunately the range of the estimate keeps widening each week as the data gets shittier and shittier.
With 3.5 weeks after Saturday to go until 2021, and no real signs of reversing just yet, if I had to guess right now my estimate by year end is likely to be over 500,000.
That was posted 6 hours ago.
Standard error is the scoring system we use to for instance evaluate offensive metrics in baseball.
Standard error is also something I brought up in discussion of baseball's economics. Is a given signing likely to make economic sense (fair bet the answer is no. Free agents as a group are paid about 30% more than their contributions to team's bottom line is worth). But the models I was able to build had a standard error of about $10 million and I always try to put that out there so people get an idea of the general level of precision available. (I'm confident that modern estimates are better and the best ones are trade secrets)
Or: Well there are scientists here (I'm not -- though I've spent a lot of time working with them. My statistics are self-taught and it shows sometimes). I'm told that one serious red flag for any study is that it's missing a discussion of precision. Standard error might not be applicable, but there pretty much always is something that says, I'm "this" confident within "these" bounds.
So, we say "error" because we're typically not trying to measure how many times it actually happened, but how often it "should" happen. So, in the vaccine trials, maybe the vaccine is 93% effective in a sample of a billion people, but 94% effective in our trial of 40000 people, we have a 1% error in the measurement of it's intrinsic effectness.
I like coins as an example because they're straightforward. If I want to test a coin to see if it's "fair", I can flip it ten times. If it's fair it "should" come out as 50% heads, 50% tails - but if I got 4 heads, 6 tails, I wouldn't conclude it's unfair; that might be chance. In a trial of 10 flips, the typical error is 3, because (being good at maths) 3x3=10, so a result of 0, or 10 heads is suspicious, but 3 or 7 isn't.
And so, if we're thinking about rates, 10 trials gives you an error, or uncertainty, of 3, or 30%
for 100, it's 10, or 10%
for 1000, it's 30, or 3%
for 10000, it's 100, or 1%
and so we rarely bother with more than that.
In a trial of 40000, if one person dies, well, our relative uncertainty on it is large, it's 1 plus or minus 1, so 100% uncertainty on how many people would typically die, but the absolute rate is still 0%-0.005%, so not that uncertain. And the same more or less applies to how many people were wearing masks, or going to bars, or licking public toilets to achieve internet fame or whatever.
Thanks bbc. I'm double-masking now when I go to the store, and doing everything I can to minimize physical interactions with anybody. I've pretty much written off Christmas and made my peace with it. I've been hiking the C&O trail, which follows the Potomac, trying to cover all 184 miles of it piece by piece. It's actually kind of awesome to drive out to the remote western reaches on a weekday morning and having the trail all to myself. But it's getting cold now... :(
I'm trying to not get shot climbing the Berlin Wall when it's coming down anyway in a few months.
Meanwhile, back in "Sports City, USA" Frisco, TX, the front page above-the-fold story in the free local newspaper this week was a gushing review of our local Convention Bureau's efforts scavenging for bottom-tier bowl games, youth hockey tournaments, and anything else under the banner of "Sports" to come have their event here instead of those states that are taking a -- shall we say -- more active role managing the pandemic.
Something called the New Mexico Bowl has agreed to move here this year (cue those "Los Angeles Angels of Anaheim" jokes), as has some Minnesota travel hockey weekend tournament, and they're hard at work looking for as many others as they can find. The payoff is that each of those events brings the promise of a few thousand dollars of hotel and restaurant tax revenue to the city coffers (and the convention bureau gets paid from a cut of that money). So now we know what price the City puts on public health. Our mayor is owner of what is probably the largest realtor firm in the city and definitely toes the party line when it comes to "Virus? What virus?" rhetoric.
I thought last year's unveiling of a Dallas Cowboys-branded City fire truck would be the absolute nadir of the City's infatuation with sports. Even I never thought they would actively endanger public health over it, but that seems to be where we are.
With Trump on the way out, a number of agencies have started to more or less openly defy him.
And speaking of colors, here's a graphic rendition of COVID case spread since October
So, what you are saying is that we have a chance to beat the 650,000 deaths from the 1918 flu pandemic.
But that's only people not a percentage of the population, so any good Hoovertarian will tell you it's insignificant.
Geez, what could possibly go wrong encouraging people to travel here from the Upper Midwest for the eternal glory of a weekend travelpuck youth tournament?
I definitely have no interest in defending crackpottery, but I'd love to see some careful studies of how genuinely second-wave second waves really are. Are the same places getting hit again, or are we seeing other portions of the same countries, that were spared in the spring, now getting hit for the first time? I see here, for example, that Madrid currently has one of the lowest death rates per capita in Spain, so maybe the current "second wave" in Spain is just the rest of the country finally getting their first wave. (Of course, if you drill down far enough, every apparent second wave can be construed as a local first wave.)
On June 19, there were 8416 recorded deaths in Madrid, and deaths had slowed to a trickle. By August 19, two months later, there were only 100 more recorded. There are now 11,426 in Madrid--almost 3000 more, and more than a third as many as there were in the original wave.
That's not that different from the rest of Spain, where the current wave has a little over half as many deaths as the first wave.
edit: excess deaths for Spain are also way above reported deaths, in fact, were almost double as of September. Pro rata, that would put Madrid at around 20,000 dead now, or 0.3% of the population, with a quarter of that coming after the first wave ended.
I don't imagine they do. Navajo Nation is not like Red Sox Nation; it's a specific land area.
To include the entire Navajo population, people in LA and Houston would have to identify as Navajo on their tests and be coded and reported as such. That's a big ask. And there would have to be a Navajo Nation identifier without any other Native American identifiers, which seems odd.
My guess is that the NN number comes from people who use the health service on the Rez. I don't know if folk in the bordertowns can, between BIA and insurance companies, they'd probably die waiting for an answer.
The dashboard explicitly (note 3) includes Bordertown case in total positives.
My error in Bordertown population is no more than further proof that I've reached an age at which I should not rely on recall; I recalled the Navajo Alone population.
Coronavirus causes El Paso's Sun Bowl game to be canceled for the first time in 85 years
I've seen widespread talk that vaccines will go first to "the most vulnerable" and frontline health care workers. It's hard to argue that, if it means everyone over 65 because the death rate is clearly skewing higher with age (and while I'd like politicians and public health officials to stand up and say this bluntly in public, I understand they probably never will: too much of a hot potato) and first to everyone who works in ICU because of greater exposure to corona.
But beyond the obvious, has there been any discussion of the next, and further, levels of priority?
Answers from around the world are invited here.
Just some questions to chew on:
1) Will governments use public health records to "fast-track" some individuals or cohorts?
(a) for example, if they decide after everyone over 65 gets the vaccine that next priority would be those over 50, would they also contact (or start an application process for) people under 50 who have a long or difficult history within the medical system and would move them ahead of those with few health problems?
(b) for example, will it be distribution by population, or has anyone said it should/will go to areas of greatest cases/and/or/death while areas with proportionally lower numbers will be vaccinated later?
2) Will the priority system differentiate between those who have tested positive for covid and recovered, compared to those who have tested negative, or never been tested?
3) Will antibody (blood/serology) tests for past infection and recovery from covid become more important than diagnostic PCR ("currently infected" swab) tests? Will resources be applied to antibody testing to help prioritize vaccine distribution?
The other high-priority targets would be first responders, essential workers, people in prisons, and hoping by then that there is an adequate supply for everyone else.
The NY Times has a little questionnaire that estimates your priority to get it. No guarantees as to its accuracy, of course.
The need for cold storage creates some interesting logistical requirements - you don't want to break up packages of this vaccine too much, as then your storage needs multiply, and you're at much higher risk of throwing away part of what is quite a limited supply. The UK also needs to balance local distribution, not least because there are political implications. Some of the north of England, like Manchester, has been voicing dissatisfaction at the amount of central government support received. Scotland's health service is run independently by a political party (the SNP) that strongly opposes the governing party in Westminster. Same is true, though to a lesser extent, for Wales - but their health service is integrated with England's.
It's certainly a complex challenge, but needing to change course within days of approving the first vaccine doesn't bolster confidence that the UK used the quiet summer months to prepare very well.
In Connecticut, they have laid out a plan for vaccine distribution along the lines discussed above.
My friend who is a public school teacher told me that they are included in the "critical workforce".
Robinson Meyer and Alexis C. Madrigal, The Atlantic
Focused on lives and the function of the health-care system, it takes no position on "wave."
You mean because that's the only youth sport so far correlated to virus spread?
as for me and Husband, well, we'll keep wearing our masks. even after getting the vaccine, we're wearing our masks until the virus is gone because i don't trust no vaccine that doesn't protect from disease
fun fact:
this will become a cudgel that right wing media will use to attack the biden administration and within his first 6 weeks in office, foxes and friends will return to "don't pull the plug on grandma" republicanism. those of us who aren't immediately decapitated by whiplash will immediately die from aneurysms.
Yeah, I was just thinking about this yesterday. How long will it take Fox News to start blaming Biden for the pandemic deaths (and the size of the budget deficit)? A month?
Also, has anyone noticed a lot of people who seem to think that the COVID IFR is 0.25% again? I thought we put that delusion to rest months ago when the CDC finally updated their best estimate to something like 0.65%, but I keep seeing people--even some otherwise smart people--cite numbers like 0.25% or 0.3% online.
You're way too generous. January 21st. We had, what, ONE death from Ebola and the GOP was ready to impeach Obama. And, yes, the deficit will suddenly become an issue again.
But this might finally get the anti-maskers to join the real world.
If you do this same exercise for all states, you generally get similar results.
Pat Rapper must be truly delighted to know that Frisco, TX, is the home of this year's New Mexico Bowl as well as the Tropical Smoothie Bowl and all the displaced travelpuck squads.
I don't recall seeing him wearing a mask anytime during his traveling clown show the last few weeks.
Thoughts.
If he knew about it and still cavorted around maskless, he's a potential murderer.
CNN
I have no doubt City officials must be hard at work trying to scavenge the Sun Bowl, the Redbox Bowl, the Bahamas Bowl, the Hawaii Bowl, and all the other canceled bottom-tier ESPN bowls too.
the chosen people have embraced natural selection.
Mostly unrelatedly, new denialist theory alert! Then CDC has a lower expected deaths baseline this year than they did for last year (2019), which is counterintuitive because population grows yearly. Therefore, this year's must be artificially low, to the tune of 100,000-150,000 or more. Sounds plausible, but it's wrong. The baseline IS lower than last year, but the baseline they use is a simple average of the last X years adjusted for population growt, potentially weighted more heavily by the more recent years. There's a massive problem with that for 2019--the 2017-2018 flu season, which mostly hit the 2018 year (Jan-Mar), was way above normal. There's also a secondary problem--population has been growing yearly buy it grew much faster in the 80+ cohort in 2016 and 2017 than it did in more recent years. Both of these have the result that using a simple average was going to be way too high for 2019.
So what happened coming into this year? In 2017, which was a more or less normal flu year (mostly 2016-2017 flu year with a small part of 2017-2018), and an average over 80+ population growth for recent years, the expected deaths were close to actual deaths. In 2018, which was a high flu year, but a low increase in over 80+, the two factors cancelled out and again we had close to expectation. In 2019, where flu season was again low (and prior year was high, boosting the average), and 80+ growth was low, the actual deaths were way below the expected based on simple averages. Thus, coming into this year, the CDC reduced their expectation base, as we were one further year away from 2018 which inflated it, and also had a year of low increase in old people factored in to their expectation. This reduced the 2020 baseline quite a bit.
So what actually happened this year? Until covid, deaths were BELOW the baseline coming into the year... most likely due to 80+ increase still being overestimated (growth was low coming into 2020) and slightly lower than average flu season. It wasn't until March, with the arrival of covid, that we went positive on excess deaths. In other words, the idea that the baseline is way too low this year is not backed by the numbers at all.
We have probably around 3.10 million deaths so far, best estimate, and at the very least 3.05 million or so. With 26 days left that's another 0.22 million or so baseline (obviously, we will end up with way more than baseline over these last 26 days, but I'm ignoring that for now), so 3.27 so dar at the low end (380,000 excess already) and maybe close to 3.37 so far at the high end (480,000 already), using the CDC's baseline.
My baseline, adjusting for average flu and population growth, is very similar to the CDC for 2020: 2.91 or so.
wish my mouth hadn't been full when I read that.
In this way you can slice off 180,000 deaths, reducing the CDC's reported 335,000 (which does not take into account the last 3 weeks, and is low for the prior 3+ weeks), reducing excess deaths to just 155,000, half of which are lockdown deaths!
Rinse and repeat.
There is some basis for the expectation being a bit more than 45,000--the graph of deaths each year shows that smaller years tend to come after bigger ones, and the last two years were smaller increases. However, 2-year periods over the last 10 years have never been more than about 110,000, and these increases came when the US population was increasing close to 2.5 m per year. In recent years it's been increasing about 2/3 that rate, and on top of that less the oldest cohort was expected to increase at a lower rate than the rest of the population. (edit: other sources are only showing a slight decrease per year, but still a large decrease in the oldest cohort).
Using 120,000 as the max over 2 years (to be generous), and multiplying by 2/3 for the slower increase in the oldest population gives you 80,000. Subtract out last year's 20,000 increase and pretty much the max increase you could expect this year would have been around 60,000. Add 10,000 for a leap year and you get at most 2.93 expected this year.
mortality rate (per 1,000) the last 10 years, based on CDC numbers:
2.89 million deaths this year (CDC estimate) would have been 8.76 per thousand. 2.91 million (my estimate coming in, since revised down slightly due to lower than average flu season) would have been 8.82 per thousand.
3 million would have been 9.09 per thousand--simply a massive and unprecedented increase--it's a ridiculous baseline, used only to massage the data into a more palatable form.
10785 will be interesting to find out what that's about. FWIW, I remember finding her complaints about Florida's data early in the pandemic somewhat overblown. What she described seemed consistent with how other states reported information. And FL actually provides better data to the public than just about any other state, even if it's far from perfect.
Link
Edit: Same info is in Tony’s link.
This was my impression as well. That said, obviously unnecessary to serve a warrant against a non-violent offender at gunpoint.
Anyways, it's been fun being terrified but also detached with all y'all.
1. Galveston Hurricane 8000
2. Antietam 3600
3. 9/11 2977
4. Last Thursday 2861
5. Last Wednesday 2762
6. Last Tuesday 2461
7. Last Friday 2439
8. Pearl Harbor 2403
New #4 12/8/2020 2913
I assume we don’t have actual daily death counts for the 1918 influenza pandemic. In October 1918, an average of 6,290 people died of influenza per day.
(edited since it was really about 3 weeks rather than 2)
By Worldometer, the largest day is now December 3, last Thursday, with 2926. Both Worldometer and Covid Tracking add deaths to old dates not that rarely.
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