WhoWhatWhy is a nonprofit that is funded through donations. They do not disclose donors on the website. Analysis / Bias WhoWhatWhy publishes news and journalism in the following categories: politics, justice, economy, science, culture, and opinion. The website also hosts podcasts and videos. ...
Kokoska, Stephen (2015).Introductory Statistics: A Problem-Solving Approach(2nd ed.). New York: W. H. Freeman and Company. Comments? Need to post a correction?PleaseContact Us. Looking for elementarystatistics help? You’ve come to the right place.Statistics How Tohas more than 1,000 arti...
AI AcademyTrust, transparency and governance in AIAI trust is arguably the most important topic in AI. It's also an understandably overwhelming topic. We'll unpack issues such as hallucination, bias and risk, and share steps to adopt AI in an ethical, responsible and fair manner.Go to episod...
Scalping tradinginvolves executing a large volume of trades over a short period to take advantage of small price disparities. In thisguide, we explain what scalping in trading is for beginners, weigh the pros and cons, and the steps to get started. ...
Few studies were found that examine the cost effectiveness of radiotherapy for breast, cervical, colorectal, head and neck and prostate cancer, and only two analyses were conducted in the UK. Additional, high-quality evidence is required to inform decision making on the effectiveness and cost-effec...
The results could help companies with forced teleworking develop effective strategies to attract, develop, and retain top talent in the information technology industry in the post-pandemic era. It is important for practitioners to consider the interactions between diverse work-related dimensions and the...
Professionalism is at the core of surgical practice. A major component of professionalism is a lifelong involvement in continuing medical education to
“could” increase by 4 degrees within this century. Such statements contain explicit factual information that may be true or false, although it is not always easy to verify or falsify a vague prediction. But they also convey a more implicit, pragmatic message, for instance about the speakers...
Humans, especially busy ones, have a bias toward conserving mental energy. It’s cognitively taxing for them to independently evaluate every person they come into contact with to determine, “Is this person credible?” Indeed, performing that calculation is almost impossible if the person is outsi...
One of the biggest ethical concerns with ChatGPT is itsbias in training data. If the data the model pulls from has any bias, it is reflected in the model's output. ChatGPT also does not understand language that might be offensive or discriminatory. The data needs to be reviewed to avoid...