Discover and read the best of Twitter Threads about #Statistics

Most recents (24)

Puerto Rico should be whatever it wants. Pass it on
Since @AndrewYang is the #Data #Math guy?

Let's talk numbers on Puerto Rico Statehood:
In 2012 the headline was "Puerto Ricans favor statehood for first time"

Kinda. The statehood party broke the question up into two parts:

1. Should Puerto Rico continue its current territorial status?

2. HAHA forget question #1. Which non-territorial option do you prefer?
Read 15 tweets
1/ Kudos to the editors of @TheIJSRM for holding a debate on "Sex and the Census", and to @inductivesteps and @sally_hines for taking part. Excellent that it is #freetodownload. Please read and RT! Open debate is the way forward #academicfreedom #sex #gender #statistics
2/ My paper argues that it is vital not to muddle sex and gender identity. Sex is a vital demographic variable, and gender identity should be asked as a separate question. tandfonline.com/doi/full/10.10…
3/ In response, Andi Fugard puts the case for 'sex is a spectrum'. I disagree, but I found it really useful to see this argument spelled out tandfonline.com/doi/full/10.10…
Read 7 tweets
#Statistics

I found this quite interesting

How Not to Bet !

Jeanne was in her late 80s. Her husband had already passed away twenty years back. Her only daughter, Yvonne, had died much earlier at a relatively young age. Yvonne’s son, Frédéric, was raised by Jeanne herself.
#Statistics

Unfortunately, like his mother, Frédéric too had a premature demise when he was killed in an automobile accident at a young age of 36.

All her life Jeanne had lived in Arles, France and had no wish to leave the place in her final years.
#Statistics

However, living alone with no source of income, it was hard to support herself.

That’s when a forty-seven-year-old lawyer named André-François Raffray offered a deal to the old lady.

At age ninety and with no heirs, Jeanne agreed to sell her apartment to Raffray
Read 28 tweets
What's the difference between a Data Engineer , a Data Analyst & a Data Scientist?

If you want to make sure you don’t lose your job in the next five years, you probably want to know something about Big Data, or even switch to a data-related career.
#Thread
#DataScience #Data
You don’t need to be an excellent statistician or a high-class mathematician to work in data science or analytics, nor do you need a lot of prior programming knowledge.
- Dr. Rebecca Pope (Head, Data Science d Engineering at KPMG)

#DataScience #Data #DataAnalyst #Statistics
However, you do need an interest in statistics, you do need to be willing to learn how to code, and you do need to know how to do some high level mathematical operations. Data scientists are not just statisticians.

#DataScience #Data #DataAnalyst #Statistics
Read 12 tweets
0/ Essential philosophy for #DataScience, a thread of 32 questions.

Grab a friend (virtually) and tackle these 32 essential questions (all with more than one reasonable answer) that every serious #data professional should answer for themselves.

#philosophy #rstats #statistics
1/ Is it possible to know anything at all?
2/ What does it mean to "know" something?
Read 34 tweets
REALITYCHECK
A doctor of repute with experience in Public Health & Adm shared the following insights on #Corona yesterday.

1. 78% of #Covid19 infections are asymptomatic. Which means people get infected with no symptoms, no isolation, no medication and get cured on their own
1/n
2. Of the asymptomatic patients, no trace, isolation or inference is possible.

3. Hardy Indian immunity might be getting the better of asymptomatic cases.

4. Of 22% remaining, 3-5% mortality is being reported. Which means 1.1 person per 100 infected dies of the disease.

2/n
5. As of today, with 9240 confirmed cases, there have 332 deaths @ 3.6% mortality, which, practically speaking, is not alarming.

6. As of date 0.00072% of population has been infected and 0.000025% deaths have occurred.

3/n
Read 5 tweets
1/ Here is a proposal of how to distinguish between different, supposedly "equivalent," #orthogonal mixtures of photons. In this case, it is R + L mix of circular, to be distinguished from mixtures of linear #polarization.
#Physics #QuantumMechanics #ThoughtExperiment
I am leaving aside right here whether it could lead to #FTL communication (#SuperluminalSignalling), and focusing on the bare being able to make the distinction. Impractical - but of major theoretical importance.
#ProperMixtures #MeasurementProblem
We use a compound detector D for this purpose. Its first element is a quarter-wave plate with horizontal fast axis, that is rotationally free within a small angle (to allow measurement of changes in #angularmomentum of roughly a few hundred ħ, which is still very tiny.)
Read 14 tweets
#Statistics: #5YearsOfWar on #Yemen

By Cent HU Rights Publishes

The Center pointed out that the raids of the aggression on Yemen during the past five years resulting in killing and injuring of 42,582 civilians, while noting that the raids destroyed 8,610 service establishments.
"The brutal aggression killed 16,618 martyrs, including 3,725 children and 2,357 women, in addition to the injury of 25,964 citizens, including 3,941 children and 2721 women", the center said.
1/3
#Yemen
#5YearsOfWar
#YemenCantWait
#StopArmingSaudi
#5YearsOfUS_SaudiWarOnYemen
1/4
Adding that the aggression bombed and destroyed 15 airports, 6404 means of transport, 459 fishing boats, 866 food stores, 387 fuel stations, 668 markets and 736 food trucks.
1/5
#Yemen
#5YearsOfWar
#YemenCantWait
#StopArmingSaudi #StopArmingSaudi

#5YearsOfUS_SaudiWarOnYemen
Read 8 tweets
Resources I like/ used to learn
1) rviews.rstudio.com/2020/02/24/jan…

These articles seem to be released monthly and are great to browse new R packages and stay updated. I like how they're separated into categories too!

#resources #helpfulinfo #stats
#womenintech
2) coursera.org
I used this way more in college to supplement my classes and it also helped get me started in ....Python.
You can pay for course credit, but can also audit all the courses for free!
3) Might be creepy.. but university professors will post lecture notes and or slides and they can be really helpful when you're stuck or want to get rolling on a new topic but don't know where to start.
ex.
bristol.ac.uk/media-library/…

#nerdshelpingnerds
Read 6 tweets
1/So there was lots of talk at @AACNursing #AACNdoc20 re: #Nursing #PhD pipeline, getting folx esp prelicensure students ‘excited’ about #nursingscience & the #BStoPhD

I totally revamped our #nursingresearch & #innovation course @UMassAmherst last fall to do just that

Thread ⬇️
2/ I told the Asst Dean when I took it on that regardless of the learning objectives for the course I had only 1 GOAL:

That by the end of the semester, these students would be EXCITED!-or at very least, just a little bit CURIOUS-about a career in #nursingscience & #innovation
3/ A note about context: This was a course of ~85 Accel BS students, taught in an urban campus that is geographically ~40mins drive from main @UMassAmherst campus, in the . The classroom assigned had no windows. Class ran 8am-1030am Weds, before more courses. I say this b/c....
Read 61 tweets
Transitioning into #DataScience: A (long) thread—
Transitioning into a new field can be cumbersome, especially #datascience which usually requires some level of #math #statistics #machinelearning #programming. But fret not!
This thread will go over the fundamentals of what you should know to become a #datascientist. First thing first, there are hundreds of tools for visualization (Power BI, Tableau, Dash), cloud computing (GCP, AWS, Azure) and SQL variants (Postgres, MSSQL, MySQL).
Don’t get caught up trying to learn all of these tools/platforms/software! You will be onboarded to these technologies and they differ highly from company to company and sometimes even department to department. But, you should be familiar with what they do at a high level!
Read 20 tweets
BEFORE READING THIS THREAD, do you think this statement is TRUE or FALSE?

Despite being a documented #epidemic for decades, @HHSGov's #CenterForDiseaseControl(@CDCgov) intentionally obstructs its collecting #statistics on what causes at least 10% of deaths NEEDLESSLY every year.
2

HINT: You already know of these systemic #DataScams due to #PublicCorruption & #RegulatoryCapture:

🤥#HackedVoting/#illegitimateResults
🤥#UScensus is maliciously biased
🤥#Gerrymandering

Thread coming soon about #CauseOfDeath #DataFraud

#AmericanSwamp #MedicalControlFraud
3

ANOTHER HINT: My inability to escape intrahospital, interhospital & health/disability insurers’ #ConspiracyAgainstRights using #MedicalControlFrauds exposes motive of the right answer.

Watch this video later to understand #PublicCorruption by example📽️
Read 43 tweets
Bayesian #MachineLearning Part 1 — Understanding Bayes Theorem from an Analytics Perspective: bit.ly/2KAJaHS #abdsc
—————
#BigData #DataScience #Statistics #StatisticalLiteracy #DataLiteracy #Algorithms
Bayesian #MachineLearning Part 3 — building Bayesian models & inference networks: bit.ly/2O2afGr #abdsc
—————
#BigData #DataScience #Statistics #StatisticalLiteracy #DataLiteracy #Algorithms
—————
+See also these books: amzn.to/30jbwuk
Read 5 tweets
My next #APA2019 presentation is from David MacKinnon: "Modern Causal Inference and Third-Variable Effects." #psychology
MacKinnon: As the number of variables increases, the number of possible relationships among them increases exponentially.

#APA2019 #psychology
MacKinnon explains the difference between mediators, confounders, and colliders. #APA2019 #psychology

Confounder: a causal variable that needs to be controlled for to understand true X&Y relationship.
Collider: a variable caused by X&Y. Don't adjust from colliders!
Read 5 tweets
Full room on a Thursday morning to learn about making an impact with #statistics in the era of #DataScience at #JSM2019
Data Science = w*Statistics + (1-w)*Computer Science
What a great definition!! #JSM2019
Sparsity and complexity are a defining aspect of big data. You need knowledge of the problem you’re solving, and that needs to be baked into our models. #JSM2019
Read 53 tweets
Thursday thoughts on #risk assessment tools, roughly paraphrased from Janus & Prentky, 2003. "Like any tool of science, actuarial risk assessment can be used for good or ill." Used well, it can make decision-making more transparent.
Used poorly, ARA can have unintended consequences, including justification for "increasingly aggressive and expansive preventive detention #laws." Janus and Prentky "urge caution and mindfulness in using ARA."
In other words, we should consider not only the #science, but also the effects of relying on ARA. The accuracy of these tools does not address underlying concerns about legal paradigms that promote incapacitation based on group-based risk #Statistics. #cjreform
Read 4 tweets
33. The Legacy of US, UK, France, Israel, Saudi Arabia, Turkey, Bahrain, Canada, Qatar, United Arab Emirates, Germany, Belgium, Netherlands, Australia, Jordan, Nato in Syria

#RegimeChange #FakeNews #FalseFlag #terrorism #SyriaInvasion #WarCrimes #CrimesAgainstHumanity
1 to 20. The Legacy of US, UK, France, Israel, Saudi Arabia, Turkey, Bahrain, Canada, Qatar, United Arab Emirates, Germany, Belgium, Netherlands, Australia, Jordan, Nato in Syria 🤨👇🏼
threadreaderapp.com/thread/1136642…
21. The Legacy of US, UK, France, Israel, Saudi Arabia, Turkey, Bahrain, Canada, Qatar, United Arab Emirates, Germany, Belgium, Netherlands, Australia, Jordan, Nato in Syria🤨👇🏼
threadreaderapp.com/thread/1137566…
Read 130 tweets
What's the difference between a data engineer, a data analyst and a data scientist?

If you want to make sure you don’t lose your job in the next five years, you probably want to know something about Big Data, or even switch to a data-related career.
#Thread
#DataScience #Data
You don’t need to be an excellent statistician or a high-class mathematician to work in data science or analytics, nor do you need a lot of prior programming knowledge.
- Dr. Rebecca Pope (head of data science and engineering at KPMG)
#DataScience #Data #DataAnalyst #Statistics
However, you do need an interest in statistics, you do need to be willing to learn how to code, and you do need to know how to do some high level mathematical operations. Data scientists are not just statisticians.

#DataScience #Data #DataAnalyst #Statistics
Read 13 tweets
Thomas Bouchard speaking at #ISIR2019 now. His talk is entitled "Finding Out How Things Work."

He mentions Popper's requirement that science must test ideas that are refutable. "But I discovered how resistant psychologists were to refutation and science." #psychology
In graduate school he contested the idea that genetics might influence autism. "It was a bloodbath. No one else in the room wanted to entertain the idea that genes could influence psychopathology." #psychology #ISIR2019
Bouchard discussed the evidence of the time, such as the Tryon (1924) study showing that rats could be bred to select for behavior. "What more evidence do you need that genetics can influence behavior?" #psychology #ISIR2019
Read 39 tweets
#Bigdata vs Machine Learning vs Artificial Intelligence
By Irene Aldridge
☝️author High-Frequency Trading: A Practical Guide to #Algorithmic Strategies& #Trading Systems
☝️co-author Real-Time Risk: What Investors Should Know About #Fintech,#highfrequencytrading and FlashCrashes
1. ☝️🧐➿🔢 In traditional #statistics or #econometrics, researchers make assumptions about #data distributions ahead of the analysis
2. 🥇💪#machinelearning = the 1st discipline to apply #efficiency to #problemsolving brought by #computers & their enhanced computational power
3. 🤗➿🔢#ML scientists try to reduce #assumptions about the data as much as possible&let the data (&computers) decide what fits best.
4. ♾➡️🔤🌐#Datascience identifies core characteristics of the data, summarized by what has been known as #characteristic values (#eigenvalues)
Read 6 tweets
Below is an interesting #statistics on the number of #Germans killed in #WW2;I do not retweet this to proclaim this as the truth, but rather as a proposal which has to be corroborated or refuted. I don't know who created this statistics, or how.
My translation:
'The casualties..
.. of the German People during and after the Second World War

Deaths:

[ca.] 3.250*10^6 German soldiers,
[ca.] 1.000*10^6 women, children and eldery fell victim to terror bombings in violation of international law,
..
..
[ca.] 3.242*10^6 German soldiers died as prisoners of war of the allied forces,
of which [ca.] 2*10^6 died in Soviet camps, [ca.] 1*10^6 died in American camps, [ca.] 1.2*10^5 died in French camps, [ca.] 1*10^5 died in Yugoslav camps,
..
Read 9 tweets
The new @wiiw_news Handbook of #Statistics 2018 contains updated key #macroeconomic & structural indicators for 22 economies in #CESEE serving as easy-to-use reference tool & facilitating comparisons across topics, countries & time.
wiiw.ac.at/wiiw-handbook-…
Thread: 1/11
New features of the 2018 ed. include e.g.
- new key indicators at #regional levels
- #wages & #investment data by activity now also available for #Turkey
- comparable #structural breakdown for all countries
Find below examples of some conclusions from the newly released data
2/11
All countries in #CESEE experienced positive #economic #growth in 2017, clear leader was #EUCEE with average real GDP growth of 4.9%. Ten economies achieved their highest real #GDP growth rates over the last 5 years.
3/11
Read 11 tweets

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