It’s interesting diversity in modern institutes seems to be limited to so in ethnocultural background, gender, and sexual orientation with consideration for socioeconomic background and religion and recent additions of disability status, neurodivergence, and age. The characteristics firms seek diversity in serve as a compensatory measure to empower typically underrepresented minority groups. However, these bases…… Continue reading Limits of Diversity
How Ethno- and Theo-Nationalism Pave Way for Fascism
Pandering, propagandising, and dividing along the lines of religious and ethnocultural characteristics, which are fundamental to most voters’ political identities, is a common and effective tactic to mobilise voter support. Ethno-nationalism and theo-nationalism both create fertile ground for the rise of fascist ideologies. Fascists know that gaining absolute power will be met with opposition so…… Continue reading How Ethno- and Theo-Nationalism Pave Way for Fascism
Changing Landscape of Content Culture
Content consumption and creation habits have undergone dramatic transformations in tandem with the shifting landscape of technology and media. Content’s become accessible, its quantities exponentiated, and channels of delivery diversified. However, the democratisation of content creation and convenience of access is a double-edged sword. Consumer demands are met with overwhelming supply but the creators derive…… Continue reading Changing Landscape of Content Culture
Why Eastern Europe had the highest Covid death rates
Eastern European countries had disproportionately high Covid-19 mortality rates. Countries are ranked by their Covid death rates below. Countries ranked by Covid death rates (Wikipedia) Among the top 10 countries, only Peru is not in Eastern Europe. The majority of the next 10 countries are Eastern European. A confluence of factors is hypothesised as the…… Continue reading Why Eastern Europe had the highest Covid death rates
Enhancing Explainability in LLMs
Large Language Models (LLMs) such as GPT-3 by OpenAI and LLaMA by Meta have demonstrated unprecedented capabilities in understanding and generating human-like text. With the innate complexity of LLMs comes a lack of explainability in decision-making. The more advanced these models become, the harder it is to tell how they arrived at their outputs. Enhancing…… Continue reading Enhancing Explainability in LLMs
Surgical Robots
Surgical robots have revolutionised minimally invasive surgery, enabling surgeons to perform complex procedures with greater precision and safety, better outcomes, and lower costs. A wide range of operations can be performed with robotic assistance. This includes surgery for prostate cancer, spinal disease, radiosurgery, pancreatectomy, heart surgery, and bowel resection1. The da Vinci surgical system, for…… Continue reading Surgical Robots
The Office Script Analysis
The Office (US) is a sitcom depicting the lives of office-workers at a paper company. I found data consisting the teleplay of 186 of 201 The Office episodes. It looks like this: The Office script data I list below the average number of scenes by season. Season number and average number of scenes in an…… Continue reading The Office Script Analysis
Effects of Smartphones on Well-Being
With the advent of smartphones, there has been a rise in the research studying the effects of smartphone on our well-being. American adults spent 3.5 hours a day on their phones in 2019 and teenagers spent more than 7 hours in front of a screen across all devices. Across large representative samples of adolescents, researchers…… Continue reading Effects of Smartphones on Well-Being
S&P 500 Companies Data Analysis
The S&P 500 Index is a metric gauging the market performance of 500 large US companies. It acts as a great proxy for understanding the market overall. I found data (as of 19/1/23) on the ~500 companies that constitute the S&P 500. This is a snapshot of the data: S&P 500 Companies These are the…… Continue reading S&P 500 Companies Data Analysis
Startup Data Analysis
I found data on startups that I decided to analyse and visualise. A snapshot of the data, ranked descendingly by total funding, is produced below. Startup Data Other columns not displayed include number of funding rounds, founding date, and the dates of first and last funding. There are 66,368 startups in the data that includes…… Continue reading Startup Data Analysis