Episode 116 - Backtesting Monte Carlo
Mar 4, 202632m0
Episode 116 - Backtesting Monte Carlo by Dan Vacanti & Prateek Singh
Hosted by Dan Vacanti & Prateek Singh · 🇺🇸 US · EN · 114 episodes
Established thought leaders with verified media credentials.
Dan Vacanti and Prateek Singh drink whisk(e)y and discuss various facets of agile software development. From scotch to bourbon and from metrics to human behaviour, we cover it all.
Dan Vacanti & Prateek Singh hosts Drunk Agile, a technology show with 114 episodes published.
Episode 116 - Backtesting Monte Carlo by Dan Vacanti & Prateek Singh
Episode 115 -Top Three Books by Dan Vacanti & Prateek Singh
Episode 114 -Scrum and Classes of Service by Dan Vacanti & Prateek Singh
Episode 113 -Because Math Markov Chains For Single items by Dan Vacanti & Prateek Singh
Episode 112 - Forecasting with Dependencies by Dan Vacanti & Prateek Singh
Episode 111 - Dependencies at Scale by Dan Vacanti & Prateek Singh
Episode 110 - How (Not) To Show Aging by Dan Vacanti & Prateek Singh
Episode 109 - All Models Are Wrong But Some Are Random by Dan Vacanti & Prateek Singh
Episode 108 - Stability Is Not What You Think It Is by Dan Vacanti & Prateek Singh
Episode 107 - Most Agile Is Not Based On Science by Dan Vacanti & Prateek Singh
Dan and Prateek have thoughts on empiricism. How it is not all that it is cracked up to be. Find out more in this episode of Drunk Agile.
Have you been given the advice - "Slice stories so they fit within the sprint length"? There are numerous issues with this advice. Prateek and Dan take these on in the latest episode of Drunk Agile.
Should you use a Cycle Time Scatterplot of Epics or a Monte Carlo simulation of stories to figure out when an Epic would be done? Daniel Vacanti and Prateek Singh discuss this in the latest episode of #DrunkAgile.
Ever planned a sprint using sub-tasks? Dan and Prateek discuss how this is an anti-pattern that seems to show up often on Scrum teams. The latest episode of Drunk Agile also discusses this problem at Scale.
Probability is not what you think it is...
All backlogs are equal, but some backlogs are more equal than others.
Dan and Prateek have a couple of questions for you. What was your favourite episode in 2024? What content would you like to see in 2025? Please respond on Youtube.
Episode 98 -You Must Not Fool Yourself by Dan Vacanti & Prateek Singh
Episode 97 -Agile Through A Flow Lens by Dan Vacanti & Prateek Singh
Episode 96 - Validation Is Not What You Think It Is by Dan Vacanti & Prateek Singh
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Drunk Agile has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
Drunk Agile is hosted by Dan Vacanti & Prateek Singh. The show is categorised under technology and has published 114 episodes.
Drunk Agile has published 114 episodes.
Drunk Agile regularly covers technology. It sits in the technology category.
Drunk Agile is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Drunk Agile hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Drunk Agile average 18 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Drunk Agile's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 4 days ago.