¿Cómo tomar decisiones racionales y optimizar los resultados?

Making rational decisions means using logic and reason rather than emotions or gut instinct. Avoid biases. Watch for biases like anchoring, loss aversion and confirmation bias that could sway your analysis. Strive to be objective. Consider probabilities. Determine the likelihood of different outcomes occurring for each option. This allows you to maximize expected utility. Gather complete information. Make sure you have all relevant facts and data points to inform your decision, not just limited data. Consider different viewpoints. Make a decision matrix. Score each option on relevant criteria to get an overall rating. The option with the highest score is optimal.

In investments, rationality is at best - taken for granted, at worst - missing. We see evidence in the recurrence of boom bust cycles. Therefore, the ability to remain rational, when the crowd is being carried away in two extremes, will set you as an investor, apart from the speculators. Hold steadfast to your conviction & time will tell who gets rewarded for long term patience.

A verdade é que se você não trabalha no mercado financeiro, você deveria se importar apenas em fazer boas escolhas e deixar seu dinheiro trabalhando para você. Você precisa ter ganho o masterchef para aprender cozinhar um feijão? Não, e na medida que fizer a primeira vez será fácil fazer de novo ou cozinhar algo mais complicado da próxima vez. A coisa mais importante em investir é entender os princípios e começar. Na prática, o que você precisa é fazer o feijão com arroz bem feito, de acordo com seus objetivo. Daí, focar seu tempo e energia em ser um profissional melhor - e fazer mais dinheiro. Fazendo mais dinheiro você poupa mais e investe mais na sua carteira blindada. Daí, basta ser consistente e colher os frutos.

I reject the common framing of rationality in economics, along with Austrian school economists like Mises and Hayek. All exchanges are rational ex ante otherwise they wouldn't happen. It is only ex post that one can claim an exchange was irrational because the valuations turned out incorrect. It is also a dead end to focus on narrow monetary criteria. The ultimate criteria we act on is always psychic. For example, you can value doing a low paid job greater than a higher paid role because it gives you more pleasure. This is not irrational, although mainstream homo economicus would call it that.

Before any decision is made you need to brainstorm with your associates to make sure you have All the the necessary data and the Correct approach. Any disagreements if not resolved should result In alternate approaches. When all that is done A decision much be reached. Let everyone have their day but u the boss must make a call.

Econometric modeling of workforce data can help optimize workforce strategies by identifying the sources of human capital value in firms. The approach I use involves estimating production functions in which workforce characteristics/practices are explicitly specified. Traditional production functions characterize “Labor” as a scalar variable e.g., headcount or compensation cost. With the kind of workforce data now available, it’s possible to treat Labor as a vector, a set of factors affecting actual labor input - e.g., employee demographics, experience, staffing ratios, compensation levels/structure, etc. Estimating multivariate models can help determine if and how much such labor factors influence productivity and business performance.

During lectures with students, I like to practically demonstrate optimization, where all students stand up and approach only one table to get information on a particular question. When we add a second and third table, students naturally spread out so they don't have to wait in a single line, which means that, in addition to the provided information, they do what they do best, optimize. Another example is driving in a city. If you have multiple lanes, let's say three, cars near a traffic light will "optimize" by choosing lanes with fewer vehicles to potentially get through the intersection more quickly. This illustrates the concept of optimization in real-life scenarios, where individuals or systems make choices to maximize efficiency

In essence, optimization is about making the best use of available resources to achieve our goals. It’s a fundamental concept in many fields, including economics, engineering, computer science, and operations research.

To make rational decisions and optimize outcomes, I consider the following steps Identify the situation: Identify the challenge or opportunity. Gather information: Gather all the relevant information about the situation. Analyze the information: Analyze the information to identify patterns, trends, and relationships. Develop options: Develop a range of options or solutions to address the situation. Evaluate options: Evaluate each option based on its feasibility, effectiveness, and potential impact. Choose an option: Choose the option that best meets your needs and goals. Monitor and evaluate: Monitor and evaluate the results of the decision to ensure that it is achieving the desired outcomes.

um método interessante para identificar alternativas é o chamado "brain storming" (tempestade cerebral)... consiste em fazer uma lista rápida de várias ideias sem CENSURAR previamente nenhuma delas... aceite todas as ideias como válidas, mesmo que elas sejam aparentemente absurdas... somente após fazer essa lista prévia de ideias "malucas" é que a gente começa analisá-las e criticá-las

Continuing. . . Once model estimates are produced, one can prioritize workforce practices according to the relative weight of factors that have a statistically significant impact and focus on the coherence of practices in place. For instance, we often find in our modeling that employee tenure has a large, positive effect on business performance. If, indeed, homegrown talent creates premium value, "rationality" requires that the organization's reward system value employee tenure as well. I'd examine workforce data to measure employee "return to tenure" and the relative strength of career value - e.g., "return to promotion" - compared to current pay/benefits. Optimization, ultimately, is about alignment of practices with the sources of value.

Use tools such as decision trees, cost-benefit analysis, and SWOT analysis to help make more informed decisions. It’s important to note that making rational decisions involves being aware of cognitive biases and avoiding them as much as possible.

Learn to become comfortable with reasonable amounts of uncertainty. Absolute certainty is rare in most real world decisions. The goal is to optimize outcomes using all available information without being paralyzed by the inherent uncertainty. Clearly identify the source of uncertainty and potential risks associated with each option. Understanding the nature of the uncertainty is key. Monitor results closely and continuously update risk assessments. Be adaptive as new information emerges. Gather as much reliable information as possible to help estimate probabilities and potential outcomes. More data reduces blindspots.

First define them: Following Frank Knight's distinction, we can define two essential forms of human capital risk: 1. Volatility in cash flow related to changes in human capital and how it is managed. 2. Threats to shareholder value stemming from an unanticipated loss of value in the organization’s human capital assets The first form can be called “human capital risk” and is amenable to probabilistic modelling based on relative frequency of past occurrences. The second is not; it requires alternative approaches and processes, such as workforce planning, to protect against adverse outcomes. We can classify it as “human capital uncertainty.” Quantitative workforce modeling can identify looming gaps and what drives them and inform policy.

When making rational decisions, it's crucial to optimize outcomes. For instance, consider a manufacturing company aiming to reduce costs. By analyzing production processes, identifying inefficiencies, and implementing lean practices, they can optimize operations and achieve cost savings. Additionally, using data-driven analysis and market research, they can make informed decisions about pricing, product development, and expansion, maximizing profitability. Rational decision-making involves weighing pros and cons, considering available information, and selecting the option that offers the best outcome. This approach helps businesses make strategic choices that improve performance, growth, and long-term success.