Startup Funding Espresso – Probabilistic Thinking

Probabilistic Thinking Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. Probabilistic thinking is making an estimate using math or logic to determine the likelihood that an outcome is going to happen. This often involves statistics and historical data. If the revenue in a company has grown by 10% for each of the past five years, then probabilistic thinking will point to a growth rate of 10% for the coming year. Founders can use probabilistic thinking also for uncertain situations where there is little historical data. In our example, for estimating the revenue in the first year of a company without the benefit of a track record, we can use probabilistic reasoning. In this case, we can use logic to estimate the revenue. For example, we could look at similar companies to see what revenue they generated in their first year. In applying probabilistic thinking, consider all the options. Expand your focus on what is probable to include what is possible. Gather additional information to tune the probabilistic estimation. This is called Bayes Theorem which incorporates new and relevant information into the decision-making process. Apply probabilistic thinking to your startup decisions. Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding.Let's go startup something today. _______________________________________________________ For more episodes from Investor Connect, please visit the site at: http://investorconnect.org Check out our other podcasts here: https://investorconnect.org/ For Investors check out: https://tencapital.group/investor-landing/ For Startups check out: https://tencapital.group/company-landing/ For eGuides check out: https://tencapital.group/education/ For upcoming Events, check out https://tencapital.group/events/ For Feedback please contact [email protected] Please follow, share, and leave a review. Music courtesy of Bensound.