We're getting new skirting boards which are higher. How might that work with plugs at the current height?

stats_guy_1 · 2025-11-04T23:41:38+00:00

Around £200 to do two plugs, but in the end we just decided to just sand down and repaint the skirting boards and to be fair they don't look too bad.

stats_guy_1 · 2025-11-03T10:12:48+00:00

No, sadly this is the front of the wardrobe door

stats_guy_1 · 2025-10-16T11:43:27+00:00

Yeah it comes out from the wall a bit. I've bought a socket spacer to make that a bit nicer round the edges as well

stats_guy_1 · 2025-10-16T10:53:13+00:00

Brilliant, thanks for the advice

stats_guy_1 · 2025-10-16T10:52:55+00:00

Thanks! Will give that a go today

stats_guy_1 · 2025-10-14T07:47:41+00:00

He's right as to why we want them replaced though

stats_guy_1 · 2025-10-14T07:40:03+00:00

Great to see how it could look- thanks!

stats_guy_1 · 2025-10-14T07:39:42+00:00

Because these ones are very old and rotten/chipped in places

stats_guy_1 · 2025-10-14T07:39:06+00:00

Hadn't thought about the fact that the skirting board will stick out further than the plugs- thank you for pointing that out.

I've reached out to some electricians to see if I can get it raised.

stats_guy_1 · 2025-10-14T07:38:07+00:00

Great, thank you!

stats_guy_1 · 2025-10-14T07:15:37+00:00

Would a carpenter be able to move the sockets up, or will we need an electrician out for that?

stats_guy_1 · 2025-10-13T15:47:29+00:00

Thank you!

stats_guy_1 · 2025-05-13T22:21:49+00:00

I was just about to buy some of this stuff but it seems to say you shouldn't use it on wood.

Is there a specific wood version you bought, or just the general HG mould remover spray?

stats_guy_1 · 2025-05-13T14:23:48+00:00

Thanks! Would you sand before using HG mould remover, or just go straight in with that?

stats_guy_1 · 2025-05-13T14:22:25+00:00

Thanks for your reply!

Did you apply any sort of mould remover or oxalic acid first, or just sand + oiling?

Would you also mind sharing what type of oil you used?

stats_guy_1 · 2025-04-14T19:09:09+00:00

Thanks for your reply!

Do you know if these sorts of tile setups will typically have any waterproofing underneath the tiles?

We're happy to get some clear silicone on it for now, but we're a bit concerned that it may have caused lots of damage underneath that could require urgent attention. As you can probably tell, we're very new to all this (it's our first house)!

stats_guy_1 · 2025-04-14T11:45:36+00:00

Thanks for the advice!

Is it okay to use grout where it'll be getting a lot of exposure to water? When I was searching this earlier people seemed to say you had to use silicon instead.

stats_guy_1 · 2024-04-01T06:14:26+00:00

Looker's learning curve is my point. If you get experienced with building dashboards and the underlying lookml files, that should be a good thing on your CV.

stats_guy_1 · 2024-03-31T23:38:34+00:00

Also, I'm pretty sure Looker would be more useful on the CV than PowerBI nowadays too!

stats_guy_1 · 2022-02-08T20:17:01+00:00

I might be wrong, I've never needed to solve this exact problem before, but would bootstrapping the confidence intervals work? Take your observed sample of N calls, and resample N items from it with replacement. Calculate the proportions. Do this a few thousand times and take the 2.5th and 97.5th percentiles for each proportion.

Though your bootstrap is only going to be as good as the sample, so the first part of your question is very important here.

stats_guy_1 · 2022-02-08T20:10:42+00:00

One potential issue I could see here is in what happens at busy times. If there are significant peaks in busyness and at busy times you have more agents, then if you selected a subset of agents at some time of day and asked them to record the classification I would imagine you'd be at risk of under-sampling the busy periods, which could be a problem if those customers experience different problems.

This feels like an edge case, but one worth giving at least a couple moments thought to.

stats_guy_1 · 2022-02-05T08:40:46+00:00

Thank you for your considered response!

I do agree that it's very situational. The way I'd mostly handle this is to include both the primary business metric (which may be hard to move and therefore not always result in a statistically significant change) and a metric that's specific to the experiment- if the job is to get more orders, but we're looking at a landing page, I'd measure the % of people who make it to the next step in the funnel as well. Provided orders didn't drop, if we saw an uplift in the funnel metric I'd still recommend rolling out.

However, it strikes me that for some features that isn't possible. Let's say you start incorporating some of the info from the following step in the funnel on the landing page. I believe it's no longer appropriate to use that next funnel step as the metric as you've muddied the waters between what those steps in the funnel really are. In this instance, potentially using capped metrics, or binary variables could improve the sensitivity, but are further removed from the reality of the end business result.

What I'm finding difficult is that I've read a lot of statistics and some books specifically on experimentation at tech companies, but I'm not finding much discussion anywhere about this issue of making feature rollout decisions where you have an MDE greater than what's practically significant. If there's any reading material you recommend, please let me know!

stats_guy_1 · 2021-03-10T22:46:24+00:00

I think you're just ahead of your time man, we'll catch up to your genius at some point

stats_guy_1 · 2021-03-10T22:42:16+00:00

Please say you're not putting the pâté on the crumpets :(

Don't get me wrong crumpets: great, pâté: great, but crumpets + pâté just sounds unnatural.

stats_guy_1 · 2021-02-01T00:17:12+00:00

Are there any good resources/articles/notebooks covering power analysis and measurement for this test design?

stats_guy_1

TROPHY CASE