Super Data Science: ML & AI Podcast with Jon Krohn
Super Data Science: ML & AI Podcast with Jon Krohn

482: Continuous Calendars

In this episode, I talk about the advantages of using a continuous calendar. Additional materials: www.superdatascience.com/482

Featured Speakers

Jon Krohn Host

Topics Discussed

Episode Summary

Executive Summary: The episode argues for continuous calendars over standard monthly calendars because they show adjacent days and weeks without disruptive month breaks, making planning clearer for multi-month projects and day-to-day scheduling. The host explains a personal continuous-calendar format, including week indices, month separators, and event color-coding, and shares a printable template for listeners.

Main Topics: Why continuous calendars are easier to use: The host contrasts monthly calendars with continuous calendars, arguing that continuous layouts preserve weekly continuity and make it simpler to see adjacent days, deadlines, and availability at a glance. Personal origin and preference: The host recalls seeing a continuous calendar at Oxford University 14 years ago and immediately adopting it as a preferred planning tool. Calendar structure and design: The calendar is presented as a matrix where each cell is a day, each row is a week, and each column is a weekday, with week-of-year indices and no empty cells. Reconciling continuous view with month-based coordination: Although months are still needed to coordinate with others, the host keeps them visible using thicker lines to mark month boundaries. Custom encoding for events and holidays: The host uses date numbering, red for U.S. holidays, and color-coded categories for events such as lectures, podcast filming, and vacations. Template availability and DIY implementation: The host notes difficulty finding printable continuous calendars online, so he built one in Google Sheets and offers a downloadable/printable version for listeners.

Key Arguments: Monthly calendars fragment time into 12 blocks, forcing users to scroll or flip between months to understand adjacent events. Continuous calendars keep adjacent days next to each other, improving clarity for planning across weeks and months. A matrix-based layout with no empty cells creates a more intuitive visualization of time. Week-of-year indexing provides convenient reference without relying solely on months. Month boundaries can still be shown without sacrificing the continuity of the weekly structure. Color-coding events by theme adds another layer of organization and makes the calendar more useful for planning.

Data Points: Length of calendar coverage: Six months - The host says his format can fit six clearly legible months on a single page. Years since first seeing continuous calendar: 14 years - He first noticed the concept on an administrator's wall at Oxford University 14 years ago. Calendar start point example: Week 26 - The second half of 2021 calendar begins with week 26 as the first row. Weekday start convention: Sunday - His version uses Sunday as the leftmost column, following North American convention. Year reference: 2021 - The example calendar shown is for the second half of 2021.

Pivotal Quotes: "I instantly saw the value in this and ever since have strongly preferred continuous calendars over the ubiquitous and to me unnecessarily befuddling monthly calendars." — Host: Explaining why he prefers continuous calendars after first encountering one at Oxford. "This continuity and structure makes it much easier to understand the passage of time clearly and at a single glance." — Host: Describing the main practical advantage of continuous calendars for planning. "The continuous calendar is a matrix, and every single position in the matrix contains a day. There are no empty cells." — Host: Defining the structure of his preferred calendar format.

Implications: For listeners, the episode suggests a simpler, more visually coherent way to plan across weeks and months. For productivity-minded users, a continuous calendar may reduce friction, improve foresight, and make long-range scheduling easier.

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