davidwhodge

I feel like I’m missing a step here. So his tatoos showed and someone who happened to know about this guy happened to notice? Does he have a particularly distinctive tattoo?

I’m not rejecting the claims in the article, but they sure are pretty surprising. Two ideas that seem far fetched but more likely to me:

1. Some intelligence agency running voice recognition on YouTube videos. 2. Parallel construction, where he was actually caught via another source (like a tip) and they decided to say they detected via YouTube to obscure the true source.

This is specifically about the GM build which is necessary for final builds, validation, and submission. Often developers have at least a week to do final checks and submissions with this build.

This is David. I made Nikola. Glad you like the app! Happy to answer any questions you or anyone else has on the data / research here.

Yeah I'm not sure what the discrepancy is. This afternoon I'm going to dig a bit more into my records.

In my data right now I see a few examples of an $80 purchase match to $56 in proceeds (70%) matched to $56 of a refund.

I can't say I think the 30% fee is appropriate anymore, but this particular case being made about refunds does not appear to be accurate for me at least.

This does not match my experience with my App, Nikola. I've been able to match up the transactions and refunds as 1 to 1, price-wise.

Agree with the app store being better than anything that preceded it. That said, it's not 2008 anymore and Apple should adapt.

What happens in reality is developers either capitulate and / or sneakily separately contact their users and get them to pay through another payment processor.

I make an app called Nikola that's seen data from a few thousand Teslas. The short answer is there are some identifiers, but they're basically impossible for outsiders to track. Tesla is making modifications all the time.

From what I've seen in forums and user groups, etc, owners tend to just break things down by major feature. AP1 / AP2 / AP3, or I have X type of wheel, or I don't have the retractible roof, but there are obviously so many other changes that aren't easy to detect

I wonder that too. My guess is there's an outlier datapoint or two there messing with the average. I didn't pull out outliers.

(Since the data is smoothed, an outlier datapoint could influence speeds 2mph in each direction)

This would seem totally reasonable to me. It'll take more time, but I can also dig in and see the extent of the battery heater use.

My guess is it's often cold enough for the battery to need to warm up to be efficient, but not cold enough to make it worth it to turn on the battery heater. (Your point still holds in that case)

A piece of data I happen to remember, far fewer than 10% of supercharges have the battery heater on for any period of time at all.

Alrighty here's the first graph. Note that this is average speed, so any trips with an average speed near the right by definition have some parts of the trip faster than the average, so the actual drop at 80 mph isn't quite as severe as it looks.

https://imgur.com/a/c10NXaz

the reason for the cutoff is that because it's pretty hard to have a trip with an AVERAGE speed above 80mpg. It's very rare in my large dataset.

okay I'm on it. I'll find some way to post them

seems like an apt comparison. Something I forgot to mention here is that the temperature also plays a huge role. I've recently started collecting more temp data, but don't have a big enough sample size to say anything definitive beyond "driving in cold weather does reduce range". This is completely expected.

As a bit of anecdata here: Parking inside vs. outside seems to have a big affect. A slightly chilly garage vs. a cold soak outdoors understandably are quite different.

Another fun fact on practical drain vs. EPA drain:

While I love sentry mode and think it's a great feature, it keeps the electronics awake. In some cases this can cause double digit per day mileage drain. Tesla has clearly been working on this though, as the numbers have improved.

I cover this a bit in my post about the data I've seen in the 1000+ Tesla fleet that I track with Nikola. 75-85% is about I right.

I make an app (called Nikola, not the truck company) for Tesla owners that has seen over 5 MM miles driven on it. I did some quick queries to validate actual range vs. EPA range for those curious.

My general takeaway is to see the EPA range as a useful, albeit unrealistic, indicator. Essentially nobody gets the EPA range, either because they choose not to go the speed limit, they accelerate harder than the EPA test factored in, or the vehicles drain some juice while parked.

The data: For the hundreds of Nikola trips with an average speed of 60 mph, the actual MPGe was about 102. Once you get up to a 75 MPH average trip speed, the MPGe drops to 94. And by 80 MPH the MPGe drops to 77. (avg over all Tesla types)

As a bit of "anecdata", I've driven trips where I hit my range on the nose, just to show I could, but the driving is less fun and I was going slower than traffic. I don't drive that way anymore.

What's most striking to me as someone who has heard over and over again about how air resistance is a X^2 property, is the extent to which short (and presumably slow) trips punch above their weight in terms of range consumed per mile. From what I can tell, the actual cost here is the fixed cost of booting up some systems and electronics, and the variable costs of running them over fewer miles can make the MPGe drop. Starting and continuing to run the AC adds up!

edit: have had some people ask. The app can be found at https://download.nikolaapp.com

I can also post data / graphs or make a blog post about that if people have more requests. Let me know what you'd like to see!

How can people help you succeed?

I didn't speed up the video. That is the original.

nope. Did not speed it up. Straight from photos app on my phone to Twitter

I took this video. I assure you it is real

42

tires

Hey folks. I was the one that took that video. let me know if you have any questions.

Yeah it was by the Transit App guys. They do good work. Chronologically, Apple's transit maps launched first.

Apple removed transit before the Embark acquisition.

I am one of the Embark founders. I'm no longer at Apple.

Our acquisition actually ended up with the spirit of our product living on in a way that I am proud of.

At Embark, we innovated by taking a regionally nuanced and tailored transit App and giving it scale. When Embark operated from 2008 to 2013, there were small bespoke apps and there were larger more generic experiences (like Google) and we filled a void in between.

Apple's approach was quite similar. Like Embark, Apple Maps Transit has a more regionally tailored experience than many bespoke transit Apps out there, but they're also able to bring it to scale. It's now at a scale we never got close to reaching at Embark.

If you're curious, Apple talks about their city-by-city approach in this WWDC video. https://developer.apple.com/videos/play/wwdc2016/241/

Requiring input twice as input validation has a fair amount of use already, like with email addresses, so it doesn't seem super unreasonable to think that's a motivation for this limitation.

Also, while it sounds silly, disabling copy doesn't mean a user can't type the PW somewhere else and paste it in. I've totally done that before and suspect it's not super uncommon.

Single data point here, but I'be heard of BMW doing work or even taking back cars under NDA.

Cool. Where might one find those videos? I can't seem to locate them.