That is awesome! Can't wait to see the R1S detail!
From other threads, it sounds like the production schedule is set, so changing can only make you later. Aside from if people with your exact config cancel or change as well.
That seems 3 months earlier than others – the others R1S LE I've seen are June-ish 2022.
May take me a bit to get back to this - Omicron response plans are going to keep me busy for the next few daysThat is awesome! Can't wait to see the R1S detail!
![Rivian R1T R1S ? Rivian Delivery Window Survey Results [Data & Trend Analysis Added] 1638141497093](https://cdn.rivianforums.com/attachments/12/12100-21836309a5dcc9233923134df789c8a7.webp)
![Rivian R1T R1S ? Rivian Delivery Window Survey Results [Data & Trend Analysis Added] 1638141598708](https://cdn.rivianforums.com/attachments/12/12101-b5d3f410cffba3c11c2be60e58af6234.png)
This is so awesome, thank you. Would you consider posting something similar for R1s poll?Just so everything doesn't get lost in the mega thread with the poll, I compiled the links to the survey, the spreadsheet results, the dashboard results, and a geojson here:
https://rivian.craiginsdev.com/
I manually generate the geojson so it won't be in sync with the spreadsheet and dashboard.
Enjoy!
Just a quick edit: https://rivian.craiginsdev.com/index2.html has the clustering enabled if you want to drill down into specific areas
Updated 11/27 @ 6PM Eastern with some data trend interpretation / analysis by @Kialoa :
Started looking at the data in the spreadsheet a bit more closely. While there is data that seems to have errors attached (LE AND MaxPack), some duplicates, and some dates typed incorrectly, there is enough to extract trends. I tried to remove most of the suspect entries and made a series of wild assumptions to see what could be learnt from the few hundred remaining data-sets. So far I focused on LE R1T data only. My thoughts so far:
1. The strongest correlation to Projected Delivery Date seems to be the Pre-Order date (Black line in Fig).
2. Within the contiguous 48 states location does not seem to play a significant role
3. Outside the Contig-48 and for Canada the delay seems to be 3-4 quarters (red line below).
4. The Exterior Color, Wheels, Spare, Off-road-Upgrade, and Accessories do not seem to play a significant role
5. Interior Color DOES seem to influence delivery dates. Black Mtn seems to be prioritized. Ocean Coast seems to have a 1-8 week delay, and Forest Edge seems to have the longest delay (4-10 weeks).
Not sure if Excel Figs are legible in this forum, but just in case they are - one of the Figs. I generated is included below. With more data - and more QC of the data - quite a few conclusions could be extracted. Even with the data in hand there is more that could be done to look at non-LE orders, and look at all the R1S data.
Since the last Fig was readable - thought I'd share the estimated impact of the interior color selection. The Black Mtn data is not shown again (was on last Fig) - and is only indicated by black line here. Forest Edge data is in Green with Red Text - clearly right-shifted (delayed). On closer inspection Ocean Coast data (light blue, Black Text) is more complex. Almost seems like a bimodal distribution - SOME of the orders are minimally (0-1 week) delayed wrt Black Mtn. Anther set of orders almost overlap with Forest edge delays. As always, there are some outliers...
Maumee, OH - LE R1S El Cap/Ocean/20" AT Black - order date May 2019. Delivery window May-June 2022.Just so everything doesn't get lost in the mega thread with the poll, I compiled the links to the survey, the spreadsheet results, the dashboard results, and a geojson here:
https://rivian.craiginsdev.com/
I manually generate the geojson so it won't be in sync with the spreadsheet and dashboard.
Enjoy!
Just a quick edit: https://rivian.craiginsdev.com/index2.html has the clustering enabled if you want to drill down into specific areas
Updated 11/27 @ 6PM Eastern with some data trend interpretation / analysis by @Kialoa :
Started looking at the data in the spreadsheet a bit more closely. While there is data that seems to have errors attached (LE AND MaxPack), some duplicates, and some dates typed incorrectly, there is enough to extract trends. I tried to remove most of the suspect entries and made a series of wild assumptions to see what could be learnt from the few hundred remaining data-sets. So far I focused on LE R1T data only. My thoughts so far:
1. The strongest correlation to Projected Delivery Date seems to be the Pre-Order date (Black line in Fig).
2. Within the contiguous 48 states location does not seem to play a significant role
3. Outside the Contig-48 and for Canada the delay seems to be 3-4 quarters (red line below).
4. The Exterior Color, Wheels, Spare, Off-road-Upgrade, and Accessories do not seem to play a significant role
5. Interior Color DOES seem to influence delivery dates. Black Mtn seems to be prioritized. Ocean Coast seems to have a 1-8 week delay, and Forest Edge seems to have the longest delay (4-10 weeks).
Not sure if Excel Figs are legible in this forum, but just in case they are - one of the Figs. I generated is included below. With more data - and more QC of the data - quite a few conclusions could be extracted. Even with the data in hand there is more that could be done to look at non-LE orders, and look at all the R1S data.
Since the last Fig was readable - thought I'd share the estimated impact of the interior color selection. The Black Mtn data is not shown again (was on last Fig) - and is only indicated by black line here. Forest Edge data is in Green with Red Text - clearly right-shifted (delayed). On closer inspection Ocean Coast data (light blue, Black Text) is more complex. Almost seems like a bimodal distribution - SOME of the orders are minimally (0-1 week) delayed wrt Black Mtn. Anther set of orders almost overlap with Forest edge delays. As always, there are some outliers...
