SDS 642: Continuous Calendar for 2023

Podcast Guest: Jon Krohn

January 6, 2023

Interested in shaking up your planning for 2023? It’s that time of year again when Jon Krohn shares a new continuous calendar! Grab your free copy and start reaping the benefits of his preferred calendar format today.

 
Another year, another continuous calendar. If you’re a longtime listener of the SuperDataScience podcast, you’ll know that these calendars top Jon Krohn’s list of top productivity must-haves.
But what makes continuous calendars so much more effective than conventional ones? Here are a few benefits that many users love when they make the switch: 
  • Review large blocks of time at a glance
  • Obtain a more realistic timeframe between dates
  • Pairs perfectly with daily habit tracking 
Jon shares his take on this underrated calendar style in episode #482 if you’re interested in learning more about its perks.
To grab your copy, simply visit jonkrohn.com/cal23 for your 2023 version today! Created using Google Sheets, it can easily be reconfigured for a region outside of the US. Feel free to make a copy of the calendar or download it, and then customize it to your liking. 
Happy New Year from the SuperDataScience team! 
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. 
ITEMS MENTIONED IN THIS PODCAST:

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  • What is missing from your current calendar setup? How can continuous calendars potentially change the way your plan your days, weeks and months?
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Podcast Transcript

(00:03):
This is Five-Minute Friday with a Continuous Calendar for 2023. 

 
(00:19):
Well, another year, another continuous calendar from us here at SuperDataScience! Back in Episode #482, which aired in June 2020, I provided an introduction to the continuous calendar format — a calendar format that I personally find vastly superior to the standard weekly or monthly calendars. And then exactly a hundred episodes ago, in Episode #542, I provided a continuous calendar for 2022. Well, now we updated it for 2023. 
(00:50):
Episode #482 way back then, provides a detailed explanation, but the general concept is that continuous calendars both enable you to overview large blocks of time at a glance – I for example, can easily fit six months on a standard piece of paper) and the other big advantage is that you get a more realistic representation of how much time there is between two given dates because the dates don’t get separated by arbitrary 7-day or 30-day cutoffs. 
(01:18):
The way the continuous calendar works so effectively is that they are a big matrix where every row corresponds to a week and every column corresponds to the day of the week. 
 
(01:29):
So if you’d like to get started today with your own super efficient continuous calendar in 2023, simply head to jonkrohn.com/cal23. That’s jonkrohn.com/cal23 
(01:42):
At that URL, you’ll find a Google Sheet with two sheets contained within it. The first sheet is for the full 52 weeks of the year, which will probably suit most people’s needs. If you elect to print it on standard US 8.5” x 11” piece of paper, it should get split exactly so that the first half of the year is on page one and the second half of the year is on page two. 
(02:04):
However, as a backup, we’ve also included a second sheet in the Google Sheet that’s just for the second half of the year in case there are printer or paper scenarios where our full-year sheet doesn’t play nicely. In that case, you can print the first page of the first sheet and the second sheet separately. 
(02:20):
All right, so this calendar is super simple: It’s all black except that I marked Federal US Holidays with red dates. If you’re in another region, or you’d like to take and adapt my continuous calendar for any reason at all, simply make a copy of the sheet or download it, and then customize it to your liking. 
(02:39):
All right, piece of cake — that’s it for this episode. Keep on rockin’ it out there while you stay organized and productive over the course of the year and catch you for another round of SuperDataScience very soon. 
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