datacolada.org
Data Colada | Thinking about evidence and vice versaThinking about evidence and vice versa
http://www.datacolada.org/
Thinking about evidence and vice versa
http://www.datacolada.org/
TODAY'S RATING
>1,000,000
Date Range
HIGHEST TRAFFIC ON
Tuesday
LOAD TIME
6.6 seconds
16x16
32x32
64x64
128x128
160x160
192x192
Uri Simonsohn
3730 Walnut St●●●●●●●●●●●●●● Huntsman Hall
Phil●●●●phia , Pennsylvania, 19104
US
View this contact
Uri Simonsohn
3730 Walnut St●●●●●●●●●●●●●● Huntsman Hall
Phil●●●●phia , Pennsylvania, 19104
US
View this contact
Uri Simonsohn
3730 Walnut St●●●●●●●●●●●●●● Huntsman Hall
Phil●●●●phia , Pennsylvania, 19104
US
View this contact
BUY YOUR DOMAIN
GoDaddy.com, LLC (R91-LROR)
WHOIS : whois.publicinterestregistry.net
REFERRED :
PAGES IN
THIS WEBSITE
10
SSL
EXTERNAL LINKS
205
SITE IP
104.247.77.60
LOAD TIME
6.559 sec
SCORE
6.2
Data Colada | Thinking about evidence and vice versa | datacolada.org Reviews
https://datacolada.org
Thinking about evidence and vice versa
datacolada.org
Uri Simonsohn, Author at Data Colada
http://datacolada.org/author/uri
Thinking about evidence and vice versa. Author Archives: Uri Simonsohn. 50] Teenagers in Bikinis: Interpreting Police-Shooting Data. The New York Times, on Monday, showcased (. htm. An NBER working paper (. pdf. That proposed that blacks are 23.8 percent less likely to be shot at by police relative to whites. (p.22). As others have noted [ 3. For example, a biased officer may be more likely to perceive a Black teenager in a bikini as a physical threat ( YouTube. Threat of his arrestees. If teenagers ...
[40] Reducing Fraud in Science - Data Colada
http://datacolada.org/2015/06/29/40-reducing-fraud-in-science
Thinking about evidence and vice versa. 40] Reducing Fraud in Science. Fraud in science is often attributed to incentives: we reward sexy-results fraud happens. The solution, the argument goes, is to reward other things. In this post I counter-argue, proposing three alternative solutions. First, even if rewarding sexy-results caused fraud, it does not follow we should stop rewarding sexy-results. We should pit costs vs benefits. Asking questions with the most upside is beneficial. I realized I was not cu...
[36] How to Study Discrimination (or Anything) With Names; If You Must - Data Colada
http://datacolada.org/2015/04/23/36-how-to-study-discrimination-or-anything-with-names-if-you-must
Thinking about evidence and vice versa. 36] How to Study Discrimination (or Anything) With Names; If You Must. Consider these paraphrased famous findings:. Because his name resembles ‘dentist,’ Dennis became one (JPSP, .pdf. Because the applicant was black (named Jamal. Greg) he was not interviewed (AER, .pdf. Because the applicant was female (named Jennifer. She got a lower offer (PNAS, .pdf. This post highlights the problem and proposes three practical solutions. [ 1. Distinctively black names (e.g...
[39] Power Naps: When do Within-Subject Comparisons Help vs Hurt (yes, hurt) Power? - Data Colada
http://datacolada.org/2015/06/22/39-power-naps-when-do-within-subject-comparisons-help-vs-hurt-yes-hurt-power
Thinking about evidence and vice versa. 39] Power Naps: When do Within-Subject Comparisons Help vs Hurt (yes, hurt) Power? Paper (. pdf. Used a total sample size of N=40 to arrive at the conclusion that implicit racial and gender stereotypes can be reduced while napping. N=40 is a small sample for a between. Subject experiment. One needs N=92 to reliably detect that men are heavier than women ( SSRN. The study, however, was within. Reasonable question: How much. Design and analysis of napping study.
[35] The Default Bayesian Test is Prejudiced Against Small Effects - Data Colada
http://datacolada.org/2015/04/09/35-the-default-bayesian-test-is-prejudiced-against-small-effects
Thinking about evidence and vice versa. 35] The Default Bayesian Test is Prejudiced Against Small Effects. When considering any statistical tool I think it is useful to answer the following two practical questions:. 1 Does it give reasonable answers in realistic circumstances? 2 Does it answer a question I am interested in? In this post I explain why,. When it comes to the default Bayesian test that’s starting to pop up in some psychology publications, the answer to both questions is no. Question 1. ...
TOTAL PAGES IN THIS WEBSITE
10
Home location and causal modeling | High Noon GMT
https://highnoongmt.wordpress.com/2015/07/30/home-location-and-causal-modeling
Oh, to be torn 'twixt love an' tenure. Home location and causal modeling. July 30, 2015. By Bob L. Sturm. This wonderful visual presentation of machine learning. Got me thinking. I know the example is meant only as an illustration of things like classification, statistical association, measuring performance, and the difference between train and test error, but I think the example is also illustrative of some of the problems I have been exploring. I may thus edit the below as my understanding grows.).
Bob L. Sturm | High Noon GMT
https://highnoongmt.wordpress.com/author/boblsturm
Oh, to be torn 'twixt love an' tenure. Author Archives: Bob L. Sturm. Thoughts before I burn my US passport. November 9, 2016. By Bob L. Sturm. I want to burn my US passport. I really want to burn it. But that’s exactly what the terrorists want! Because if I burn it,. I won’t be able to help destroy their fucking wall. Reinforcement learning for Numberwang? November 7, 2016. By Bob L. Sturm. Attended some nice talks tonight at the London Machine Learning Meetup. First was Daniel Slater. November 3, 2016.
Playing Mozart’s Piano Pieces as Mozart Did – The New York Times | High Noon GMT
https://highnoongmt.wordpress.com/2015/07/25/playing-mozarts-piano-pieces-as-mozart-did-the-new-york-times
Oh, to be torn 'twixt love an' tenure. Playing Mozart’s Piano Pieces as Mozart Did – The New York Times. July 25, 2015. By Bob L. Sturm. Playing Mozart’s Piano Pieces as Mozart Did – The New York Times. Click to print (Opens in new window). Click to email (Opens in new window). Share on Facebook (Opens in new window). Click to share on Twitter (Opens in new window). Click to share on Reddit (Opens in new window). Click to share on Google (Opens in new window). This entry was posted in Music. Create a fre...
Statistics as math, statistics as tools – The Hardest Science
https://hardsci.wordpress.com/2014/12/04/statistics-as-math-statistics-as-tools
Statistics as math, statistics as tools. December 4, 2014. How do you think about statistical methods in science? Are statistics a matter of math and logic? Or are they a useful tool? Over time, I have noticed that these seem to be two implicit frames for thinking about statistics. Both are useful, but they tend to be more common in different research communities. And I think sometimes conversations get off track when people are using different ones. Frame 1 is statistics as math and logic. That traditio...
An open review of Many Labs 3: Much to learn – The Hardest Science
https://hardsci.wordpress.com/2015/03/12/an-open-review-of-many-labs-3-much-to-learn
An open review of Many Labs 3: Much to learn. March 12, 2015. March 12, 2015. A pre-publication manuscript for the Many Labs 3. A major goal was to examine whether time of semester moderates effect sizes, testing the common intuition among researchers that subjects are “worse” (less attentive) at the end of the term. But really, there is much more to it than that:. And perhaps less obviously, two significant effects — even in the same direction — can be very different. So the appropriate test. Is whether...
Some thoughts on replication and falsifiability: Is this a chance to do better? – The Hardest Science
https://hardsci.wordpress.com/2014/07/01/some-thoughts-on-replication-and-falsifiability-is-this-a-chance-to-do-better
Some thoughts on replication and falsifiability: Is this a chance to do better? July 1, 2014. Most psychologists would probably endorse falsification. As an important part of science. But in practice we rarely do it right. As others have observed. From your theory. On the flip side, a theory is corroborated when it survives many risky opportunities to fail. So in the grand scheme, I don’t think we should self-flagellate too much about being poor theorists or succumb to physics envy. Most of the...So with...
Is there p-hacking in a new breastfeeding study? And is disclosure enough? – The Hardest Science
https://hardsci.wordpress.com/2015/03/18/is-there-p-hacking-in-a-new-breastfeeding-study-and-is-disclosure-enough
Is there p-hacking in a new breastfeeding study? And is disclosure enough? March 18, 2015. March 18, 2015. There is a new study out about the benefits of breastfeeding on eventual adult IQ, published in The Lancet Global Health. It’s getting lots of news coverage, for example in NPR. A friend shared a link and asked what I thought of it. So I took a look at the article and came across this (emphasis added):. We present the one with the lower p value. From time to time students ask, Am I allowed to do.
What counts as a successful or failed replication? – The Hardest Science
https://hardsci.wordpress.com/2012/10/05/what-counts-as-a-successful-or-failed-replication
What counts as a successful or failed replication? October 5, 2012. Let’s say that some theory states that people in psychological state A1 will engage in behavior B more than people in psychological state A2. Suppose that, a priori, the theory allows us to make this directional prediction, but not a prediction about the size of the effect. Here’s the question: did Study 2 successfully replicate Study 1? My second problem is that we should always be putting theoretical statements to multiple tests. T...
misfortunes highlight how lucky i am – scatterplot
https://scatter.wordpress.com/2009/04/28/misfortunes-highlight-how-lucky-i-am
The unruly darlings of public sociology. Misfortunes highlight how lucky i am. Husband broke his foot on Sunday. Not playing hockey, but having brunch. Unfortunate. We went to the urgent care clinic, which is free (fortunately), because we live in Canada (fortunately), because I got a tenure-track job here (fortunately). While at the clinic, Husband got an x-ray and an air cast (cool! And he also picked up a flu bug. It wasn’t that. April 28, 2009. April 28, 2009 at 11:54 am. April 28, 2009 at 9:09 pm.
TOTAL LINKS TO THIS WEBSITE
205
Whats New at DataCol Solutions - The Barcode People
This web site was last updated on. 10 September 2016 - NiceLabel 2017 is now available. And upgrades from older versions of the program, are now available from all our resellers. Please contact us for more details or see our dedicated NiceLabel page HERE. 11 November 2015 - Bartender 2016 (v11.0) Released. Copies of BT 2016 - Basic, Professional and Automation - 3 Printers are always available ex-stock. The activation key for any other edition is available within 5-8 hours from order. For more details of...
Datacol Hrvatska
Auto moto nautic vision: TV prilog 9. dio. Deveta od 10 epizoda TV serijala o Datacol proizvodima koji će se emitirati na Sportskoj Televiziji SPTV u tv emisiji SVIJET AUTO MOTO NAUTIKE, / na 8 lokalnih županijskih televizija u tv emisiji AUTO MOTO NAUTIC VISION. Burza Nautike: Čišćenje spremnika goriva. Pripremio Božo Ivanić: ".Blago onom tko nikad nije iskusio problem s prljavim spremnikom! Naravno, to se uvijek događa onda kad nam najmanje treba, obično u kakvoj neveri. U suradnji sa HAK-om! Datacol j...
Datacol Polska
Umów się na spotkanie. Zadzwoń: 48 46 300 00 16. Znajdź nas na mapie. Umów się na spotkanie. Zaprezentujemy nasze produkty i przygotujemy ofertę. Umówimy się na dostawę. PONIEDZIAŁEK – PIĄTEK. WEEKEND – ŚWIĘTA:. DATACOL POLSKA SP. Z O.O. UL. ZADĘBIE 65 96-100 SKIERNIEWICE. 48 46 300 00 16. Bezpośredni kontakt telefoniczny z naszym oddziałem w Polsce. Wysokiej jakości dodatki do każdego rodzaju paliwa, o właściwościach czyszcząco-smarujących. Dalej. Jak często należy stosować dodatki do paliw? Posiadamy w...
DataColada
Breaking down the barriers to great experiences. DataColada is a team of Salesforce revolutionaries who specialise in building digital engagement through online communities. We help organisations authentically represent their brand with their consumers via digital channels to engage, delight and profit. Ask us how Salesforce can help you empower your customers, partners and employees. We apply the art and science of personalisation, prediction and platform to engage customers. The DataColada team brought...
Data Colada | Thinking about evidence and vice versa
Thinking about evidence and vice versa. 70] How Many Studies Have Not Been Run? Why We Still Think the Average Effect Does Not Exist. We have argued that, for most effects, it is impossible to identify the average effect ( datacolada.org/33. When averaging is easy: Height at Berkeley. My sense is that when people think that we should calculate the average effect size they are picturing something kind of like calculating average height: First sample (by collecting the studies that were run), then calculat...
Index of /
EuroWeb old
You have reached old EuroWeb. These services are currently offline since 2012. Please find your data on euroweb2.com or datacoldweb2.com. We apologize for this inconvenience.
DataWeb 2 Version 2.0.9_43 Login
Version 2.0.7, test new features:. POIs are now editable. POIs are now shown in Map. Temperatures and digitals can be disabled on reports. Version 2.0.7, testen Sie neue Funktionen:. Besehende POIs können nun verändert werden. POIs werden nun in der Karte angezeigt. Temperatures and digitals can be disabled on reports. Diverse Fehler sind behoben worden. Go to the old version. Gehe zur alten version. Client is not Internet Explorer. You' re not using the MS Internet Explorer!
www.datacolex.com
Este dominio está en venta. This domain is for sale. Diese Domain steht zum Verkauf. Ce domaine est à vendre. Questo dominio è in vendita. Este domínio está à venda.
DataCol Group - Fresh thinking for data collection
Water, Electricity, and Gas Monitoring Services and Software. Meter data collection and management across electricity, gas, water and other resources. DataCol provides technology and services that help organisations gather field data from meters and other measurement devices in the electricity, gas and water sectors. We also add value to this data by aggregating and presenting it to our customers electronically so they can use for billing, customer service, checking compliance and other activities. Our b...
SOCIAL ENGAGEMENT