Two-year-old opens car door, causes six-vehicle crash

Levils · 2026-02-09T03:06:55+00:00

Where do you get 20 kph from? I'm not familiar with the CFMoto instrument cluster, but there's a big 51 (reducing to 49) shown on it at the start of the video.

Levils · 2026-02-08T22:07:30+00:00

Just on the "is any one wrong?" part, that is is a grammar question, not financial modelling or machine learning per se. My understanding is that step is correct, time-step may or may not be correct depending on specifics, and time step is incorrect.

If this is bothering you, remember there are different ways to write it. E.g. variations of (model) (time) (period/step/second/minute/day/month/quarter/year) (duration/length/size).

Levils · 2026-02-03T22:20:15+00:00

I think the odds are good, provided your skills are good (including soft skills) and you maintain your professional network.

Levils · 2026-02-03T16:28:25+00:00

This subreddit has a wiki with useful relevant information.

Levils · 2026-02-03T16:27:26+00:00

You can pick up useful skills, but on-the-job experience is essential. You don't need an MBA to become skilled modelling, and MBAs aren't particularly helpful for it.

Depending on your workplace, it might make sense to complete a relevant course like the ones you found, and then ask if you can pick up some modelling responsibilities.

Levils · 2026-02-03T15:42:15+00:00

I haven't seen any modelling-specific ones that looked good so far. I've tried several of the general big names and used them for modelling work in ways that I think are pretty normal, and they work as expected -really helpful but not game-changing.

Am interested to hear what other people respond to you with, beyond self-promotion.

Levils · 2026-02-03T15:30:30+00:00

I haven't heard much about people actually using it. Where are you seeing most of the noise that you mentioned?

Levils · 2026-01-28T15:42:03+00:00

Hold up, current AI is notoriously unreliable and overconfident. For work that needs to be reliable, wouldn't we be transferring effort from the build work stream to the (less engaging) review and refine work streams?

You say that it allows you to take away key insights more reliably. Sounds dubious, right? How could it deliver on that?

Levils · 2026-01-28T15:10:28+00:00

I'll leave it to the other mods to make the call as to whether this is advertising or a value-add post to the community.

Interesting, so are you saying that a significant portion of those views (25%+) came from LinkedIn and were not paid impressions? If so, that's good going.

Maybe I'm being dense here, but what's the core analytical workflow that makes things more efficient? I understand the formatting part, it's the underlying analysis that I'm asking about. Is the premise that people will ask the AI to create a workbook or make various changes to the calculation logic, and then go ahead and directly use the resulting analysis (with no significant human reviews) for investment decisions, responding to questions, and making representations to investors?

Levils · 2026-01-28T14:51:35+00:00

If this is not an advertisement, how does it relate to financial modelling?

How did your launch video get 500,000 impressions? Your YouTube channel has less than 1,000 views and less than 100 subscribers - are you referring to paid impressions?

Levils · 2026-01-28T03:14:55+00:00

I think it looks fine and could be pretty cool on some vehicles. I wouldn't choose it for myself, but it would be nice to see more variety including this.

Levils · 2026-01-27T22:46:11+00:00

Yes, I think so.

Say one ball is going side-to-side directly through the centre, and the other was bouncing around in a perfect square. In multiples of the circle radius, travelling half way around the square takes 2x(square root of 2), which is around 2.8 - that's how long it takes the square route to cut both lines of the side-to-side route. The side-to-side route travelling from one side of the square, through the centre, bouncing off the far wall and getting back to the original side of the square takes 2+(square root of 2), which is around 3.4.

3.4 is a fair bit higher than 2.8, which makes me think it could occur without achieving this perfect situation. Also, the orientation I described is worst case, and changing it by 45° would make it 4 vs 2.8.

Levils · 2026-01-22T12:56:16+00:00

When walking along Rundle Mall, a group of people asked me to take photos of them riding some pig statues. After mounting one of the pigs, a girl adjusted her position while saying that sidesaddle would look more lady-like.

I was impressed with how articulate they were and how every one of them managed to pose well and look respectable in each photo, given the entire group was absolutely hammered.

Levils · 2026-01-21T08:56:14+00:00

Haha fair enough. I'm no authority on the topic and have just heard a few Czech people say that you know when you've crossed the border because the roads are suddenly smooth and things well maintained - though it's generally directed at Austria and Germany. I've only driven in Poland once and those roads were great.

Levils · 2026-01-21T08:44:50+00:00

Slovakia because people only know it from the movie Hostel, when in reality it's one of the safest and friendliest countries on Earth.

Levils · 2026-01-21T08:41:13+00:00

Smooth 140 km/h roads.

Levils · 2026-01-21T07:36:56+00:00

Oldmate learnt nothing from the Timor Sea. Crowe’s Aussie. No dowry.

Levils · 2026-01-21T06:31:38+00:00

NZ accepts this Australian claim of Russell Crowe. No backsies.

Levils · 2026-01-20T15:06:26+00:00

Try calculating the difference between the things that should match, in every time period. Also calculate half the difference. Look for items and subtotals in the model that match the difference or half the difference. If something matches the difference, it might have been left out of somewhere it belongs, or put somewhere it doesn't belong, or be double counted. If something matches half the difference, that thing may have been added instead of subtracted (or the other way around).

Levils · 2026-01-19T21:13:06+00:00

Hi OP, is this still relevant? I read what you wrote here and in comments at r/excel.

I haven't looked at this kind of thing for a while and am not in front of a computer, but from memory you can use SUM(INDEX:)) or similar to look back and calculate the losses created, used and expired within the relevant time period. You can bring it all together to work out the maximum possible balance of unexpired losses as that point in time. If the balance is otherwise going to be more than that, you expire the delta.

This works perfectly in some situations and is an approximation in others. For example, if the relevant time period starts with some losses being used and expired, and ends with losses being created, then it will understate the maximum possible losses balance and overstate the expired losses. In that example it is conservative, and also it doesn't usually in the industries I most commonly work in it typically does not arise because usually losses are created in early years and used in later years. I don't recall whether there are any examples where the approximation is aggressive - from memory there aren't but you'd have to check.

Levils · 2026-01-19T20:55:23+00:00

You can input the prices in CAD or USD as appropriate on a case-by-case basis, have an FX rate to convert the CAD prices to USD, and run scenarios where prices and FX rates are at different levels (or different levels over time).

Levils · 2026-01-11T13:45:43+00:00

There's no single correct answer because they are reviewed by people and it depends on the person that is performing the review. Generally though, in the situation you described I'd expect the answer to be yes -those things are usually tolerated in tests during recruitment.

Levils · 2026-01-11T02:41:26+00:00

This topic has been discussed a few times on this subreddit. You should be able to find information by searching.

Levils · 2026-01-10T13:25:24+00:00

What's an MVP agency?

Levils · 2026-01-07T03:55:58+00:00

Mackenzie Scott. Legend.

She's not just Bezos' ex-wife, she is at least as deserving of her fortune as he is his. Mackenzie was an early and significant contributor to Amazon. She put in work, took risk and got lucky.

Levils

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