The unemployment rate fell by 0.4 percentage point to 6.3 percent in January, while nonfarm payroll employment changed little (+49,000), the U.S. Bureau of Labor Statistics reported today. The labor market continued to reflect the impact of the coronavirus (COVID-19) pandemic and efforts to contain it. In January, notable job gains in professional and business services and in both public and private education were offset by losses in leisure and hospitality, in retail trade, in health care, and in transportation and warehousing.
Here's a breakdown of potential free money moves for tomorrow.
This is not financial advice.
Noobs will load up on these companies because of Robinhood shitting the bed:
FIS (Fidelity National Information) based in Jacksonville, FL.
A financial processing company.
FNF (Fidelity National Financial) based in Jacksonville, FL.
Title insurance and mortgage company.
They literally have nothing to do with Fidelity Investments which is a privately held company based in Boston, MA who hold a AUM of $3.3 trillion.
But noobs don't know that.
Long GM, also known as General Motors based in Detroit, MI, because of the typos when people look for GME.
Long AMD also known as Advanced Micro Devices based in Santa Clara, CA.
>DD: D is next to C on the keyboard.
Boomers searching AMC will load up on AMD by accident.
Bonus points for AMCX if you like the Walking Dead.
Long BBY also known as Best Buy based in Richfield, MN.
BBY sounds like Blackberry also known as BB it is also very close to BBBY which is Bed, Bath, and Beyond.
Shorting RH might be the move as well.
They're not Robinhood the broker. They're Restoration Hardware based in Corte Madera, CA.
Earlier this week, NYC area charity called Robin Hood came under attack with threats from angry customers as the GME saga escalated.
>Robin Hood is a 501(c)(3) charitable organization. We are not affiliated with any for-profit businesses that use a similar name.
Robin Hood NYC
>Fighting poverty in New York City for more than 30 years.
That's the average Internet user.
6 million degenerates joined /r/wallstreetbets in the last 2 weeks.
According to the National Center for Education Statistics, 21% of the adult population possess some form of illiteracy.
Out of 6 million, 1.26 million are illiterate.
According to various IQ testing agencies, 6.9% of the population tests below 8... keep reading on reddit ➡
I've been out of school for quite a while, so perhaps some things have changed. My understanding is that most high school curriculums cover algebra, geometry, trigonometry, and for advanced students, pre-calculus or calculus. I'm not aware of a national standard that requires statistics.
For most people, algebra - geometry - trigonometry are rarely if ever used after they leave school. I believe that most students don't even see how they might use these skills, and often mock their value.
Basic statistics can be used almost immediately and would help most students understand their world far better than the A-G-T skills. Simply knowing concepts like Standard Deviation can help most people intuitively understand the odds that something will happen. Just the rule of thumb that the range defined by average minus one standard deviation to the average plus one standard deviation tends to cover 2/3's of the occurrences for normally distributed sets is far more valuable than memorizing SOH-CAH-TOA.
I want to know if there are good reasons for the A-G-T method that make it superior to a focus on basic statistics. Help me change my view.
First off, thank everyone for bringing up lots of great points. It seems that the primary thinking is falling into three categories:
A. This is a good path for STEM majors - I agree, though I don't think a STEM path is the most common for most students. I'm not saying that the A-G-T path should be eliminated, but that the default should replace stats for trig.
B. You cannot learn statistics before you learn advanced math. I'm not sure I understand this one well enough as I didn't see a lot of examples that support this assertion.
C. Education isn't about teaching useful skills, but about teaching students how to think. - I don't disagree, but I also don't think I understand how trig fulfills that goal better than stats.
This isn't a complete list, but it does seem to contain the most common points. I'm still trying to get through all of the comments (as of now 343 in two hours), so if your main point isn't included, please be patient, I'm drinking from a fire hose on this one ¯\_(ツ)_/¯
Edit #2 with Analysis and Deltas:
First off, thank everyone for your great responses and thoughtful comments!
I read every topline comment - though by the time I got to the end there were 12 more, so I'm sure by the time I write this there will still be some I didn't get to read. The responses tended to fall into six general categ... keep reading on reddit ➡
All the stats will go here
Ajinkya Rahane Undefeated as Test Captain
India have won 4 out of 7 red ball tests they played down under in the last two tours, 2 draws and 1 loss.
I'm quite liberal and have gotten a lot of shit for even asking questions around race from my black friends, who say it's not their job to educate me (and I agree, but I am sincerely trying to educate myself and I want their input/elevation of black voices, etc.). My white friends are silent because they're too scared to speak up. So I'm finding a hard time having a discussion about this with anyone.
I listened to both controversial podcasts about race by Sam Harris. I respect Sam and feel like he's one of the more straightforward and well-researched podcasters. I appreciated an alternative perspective by a black man (John M), from those that I am generally exposed to; every black experience is important and should be taken into consideration. I'm an atheist and an ex-cult member, so I'm VERY into finding the truth regardless of whether it feels good. I am skeptical now of any group or movement and am intent on not being brainwashed or experiencing mind and information control ever again. So I'm not just going to screenshot 20 BLM tweets because it's the liberal thing to do, without actually looking into the issue to make sure our outrage is substantiated.
I started to look into the data Sam attached, but there was a lot, and I admit I didn't finish reading through all of it.
One thing that I noticed about the most recent episode is that both Sam and John McWhorter (black author and educator) kept talking about how "statistics around cop killings prove that black men are not killed more than white men when resisting arrest**."** And that "oh you just shouldn't resist arrest -- let them arrest you, be peaceful, and submit a complaint later." This seems to really miss the mark, in my opinion. Even if it was always about resisting arrest, our legal system does NOT PROTECT people who are poor and can't be proven innocent immediately nor afford bail. People can get stuck in jail for years waiting to be proven innocent. But on top of that:
Anyone who has been involved with BLM or keeping up on it knows that tons of black people are killed when NOT resisting arrest, when innocent, when doing nothing wrong*.* This is what we're all so infuriated over. The innocents. As well as a system that allows for police brutality at all, regardless of race.
And on top of THAT, I've seen statistics that are saying the exact opposite: that proportionally, black men ARE in fact killed more often by cops. Sam's argument is that bla... keep reading on reddit ➡
Anyone else notice that there are very nearly 300,000 members of this sub? Think of the relatively small percentage of adults that are on reddit. Then think of the relatively small percentage of redditors who know about this sub. Then think about the fact that 300,000 people still found there way to this sub and actually joined. My mind spins with the implications of how many relationships worldwide must have this fundamental difference in libido--what that proportion of all relationships must really be.
Just what the title says. I'm getting sick of reading all these repackaged versions of some other DD post someone saw and then karma whoring for it. If you're going to put information out, cite your sources. Put up a screen shot. Link the information. And for God's sake check the fucking date it was updated.
I've seen short interest percentages from in the 90's to in the 200's within the same hour of posting. STOP! Put up good information or GTFO. Paraphrasing a retarded who paraphrased another retard who saw something on Yahoo Finance isn't helping anyone.
TLDR: Show me your work or get fucked.
I had heard crime was decreasing in Venezuela. It seems it is partially true. A lot of people state it is because of the high number of people who have left the country. Sad place for Jamaica, however I think they have had higher murder rates in past years and it seems that what happened is that most countries are decreasing their rates even more. Crime in Honduras seems to have stabilized. I knew crime had decreased in El Salvador, but a murder rate of 19.7/100,000 is really low, I am not a fan of Nayib's but he has done a lot to improve the security situation. I was even more surprised (and happy) about Guatemala. Sadly, this means that Mexico is more violent than Central America now, even though it seems murders stabilized in 2020 (It also caught my attention that 15% of murders were committed in one state: Guanajuato). It is the first time in more than three decades that Brazil has a murder rate lower than 20/100,000, it also seems crime decreased in Rio de Janeiro (A lot of people say Bolsonaro has nothing to do with this, but if it were the opposite they would be blaming him). Panama and Costa Rica seem stable while Uruguay has improved after two difficult years. Ecuador and Peru seem to have increased their rates a little bit in the last few years while Argentina has improved a bit.
After analyzing this report it is more than clear to me what without the stupid War on Drugs we would have a way more peaceful region.
I'm a pretty big fan of Hardware Unboxed, because they generally practice high-quality data science. In particular, I see their ordered performance-delta plots as a gold standard for showing how tricky it can be to compare two CPUs or GPUs.
However, today's video (1/16) had some methodology that made me stop and scratch my head.
So, I figured this could be a pretty simple example for showing how to spot a "bad statistic." In other words, when someone creates statistics that diverge from the intended value.
In their video (https://www.youtube.com/watch?v=PSxuiWih_Z8), Steve produces a 16-game average by, as far as I can tell, just averaging together raw FPS numbers (12:50). That's a "bad statistic" for this case because it over-weights games with higher FPS and under-weights games with lower FPS. Normally that's not too much of an issue, but for this set of data that's a pretty extreme effect because RDR2 is 110 fps but Rainbow Six Siege is 440 fps. That means RDR2 matters 1/4th as much to the average as R6 does.
Because the real goal here is to look at performance between CPUs across a variety of games, each game is supposed to be a separate data point with similar weight. To do that with an average, the FPS values should be normalized to some sort of standard range. In this case, the unequal weighting winds up driving up the average FPS reported, and very marginally understating the difference between most of the processors. For example, the 10900k was 0.9% faster than the 5600x when I picked a weighting scheme, but is 0.5% faster in their data. The averages also shift pretty significantly for all processors, from ~190fps to ~130fps, but my methodology is not rigorous enough to trust that number. You can derive a "true" average here by looking at what you expect someone using the hardware to experience, but that's a rabbit hole that's not worth going down, and there's probably no exact solution.
However, even if we decide to equally weight each data point, there's an argument to be made that games with higher fps numbers should have lower weighting in a multi-game average, since consumers don't necessarily care if an ultra-fast game runs slightly-ultra-faster on a particular processor. Some sort of nonlinear penalization over a certain threshold would make sense, like if a game is above 244 FPS you stop considering it as much in the average. You can get pretty deep into the math here, but the ge... keep reading on reddit ➡
This is in regard to the post that was posted here 10 days ago(https://old.reddit.com/r/statistics/comments/kbteyd/d_minecraft_speedrunner_caught_cheating_by_using/).
The covid epidemic is in full swing in Europe and the USA, and we've had extensive testing for more than a few months. I know there are individual reports of reinfections, but are there any published statistics on the number of reinfections?
Don’t know why mods removed it the first time but Steph Curry, who turns 33 next month, is no. 3 on average speed on offense.
Top 10: (Source: ESPN/ Second Spectrum)
Doug McDermott (Pacers)
Tyler Herro (Heat)
Steph Curry (Warriors)
LaMelo Ball (Hornets)
Cole Anthony (Magic)
Malik Beasley (Timberwolves)
Donte DiVicenzo (Bucks)
Joe Harris (Nets)
Gordon Hayward (Hornets)
Jordan Clarkson (Jazz)
Unreal conditioning. Him and Hayward are the only 30+ player on this list. And like stated in the title, dude turns 33 next month. Hayward turns 31 next month. This is what makes him so hard to guard. No matter whether he has the ball or not he demands so much attention that it makes it easier for the team to score and creates more opportunities for him to score.
As someone who spends and unhealthy amount of time on this subreddit, I notice a ton of “oh shit no way” facts dropped in the threads. Id love to hear more.
For Ohio State: Ohio State is the only CFB program to never lose more than 7 games in a season in program history.
Result first for TL;DR ppl:
So you have some questions about the meta, and you want a definitive answer. This guide will (might) help you do analysis on Dota 2 match data. I will be using Python, but other programming languages or tools will also work.
Example: We want to know which heroes perform better when picked last.
Step 1: Download and install Python
- Go to https://www.python.org/
- Download the latest version (3.9.1 right now)
- Run the installer
Step 2: Install data science tools for Python
- Open a terminal, or command prompt by typing "cmd" in the start menu
- Run these commands:
pip install pandas
pip install matplotlib
pip install requests
Step 3: Download games from opendota.com using a Python program
The most important line of code downloads a match by its ID:
requests.get("https://api.opendota.com/api/matches/" + m_id)
Documentation for the API here: https://docs.opendota.com/#tag/matches
You are allowed 50000 requests a month for free, at 60/minute, so a delay of 2 seconds is added.
Each match data is saved to a .json file. You can read its content with a text editor. For our example statistic, we are interested in the "picks_bans" segment. Content:
- is_pick: this is true when it is a pick, false when it is a ban
- hero_id: a number that represents the hero (ex: 64 = Jakiro). We will get the list of hero_id to hero name in step 4.
We want the last pick on each team, so later when processing the data we will filter by:
- 'is_pick' = true
- sorted by 'order' and taking the last two
Step 4: Download a list of heroes from opendota.com using another Python program
This will help us tran... keep reading on reddit ➡