Higher weight polyphenols tend to taste less bitter than lower weight ones. Its more correlation than causation because I don’t think we precisely know why this is.
I wonder if they're talking about the blurred lines between taste and smell. Most of what we 'taste' is happening in our nose.
Turns out the French and Italians with all of their fancy wine glasses for different kinds of wine are not insane. Glass shape effects the timing of scent versus taste, and so lighter wines have a narrower glass to shorten the time. The heavier the red the wider the glass.
That would be green tea no? You pick the green tea, cook it to denature the enzymes to arrest the oxidization (called the "killgreen" step in Chinese) and voila, green tea! Lots of green teas can be quite smooth and even more so with more careful brewing.
The Brit I mentioned elsewhere seemed to think it was the drying that arrested the chemical processes in the tea.
He was also adamant about storing it in well sealed containers out of direct sunlight. I ended up throwing away a couple of containers because of this (although I've kept a couple that are just too beautiful to part with - I store my daily drinker in there since it doesn't need to keep as long). Also explains why my dealer uses mylar vacuum packs for anything over an ounce. No oxygen, no light.
White tea does not undergo the "killgreen" step that green teas and oolongs teas do IIRC. The drying slows the oxidation but does not arrest it. "Aged" white tea is a thing. If you let it sit around long enough it turns deep red. Green tea just turns into stale tea. They even compress white teas into something similar to those "Pu'er Cakes".
Yes, green tea needs lower temperature and controlled infusion time, but rewards that. The author definitely does not seem to be a fan and is not doing it justice.
Yeah! Green tea gets fried or steamed right away to halt oxidation. That kills off some of the undesirable bitterness that masks some flavors that are even present in fresh leaves. It is not that Green doesn’t have any taste; it is that there are more guardrails over what flavors can appear and how distinct they can be.
The odd thing is that the range (and top end) of antioxidants in white tea is larger than in green.
"Total catechin content (TCC) for white teas ranged widely from 14.40 to 369.60 mg/g of dry plant material for water extracts and 47.16 to 163.94 mg/g for methanol extracts. TCC for green teas also ranged more than 10-fold, from 21.38 to 228.20 mg/g of dry plant material for water extracts and 32.23 to 141.24 mg/g for methanol extracts."
It’s hard to build a product that shows you how clothes fit on someone like you as a B2B service. Retailers don’t want to showcase their clothes on anyone who isn’t anatomically perfect. Plus, if you try to source a more diverse set of “models” from real people wearing clothes, you run into the problem that most people are uncomfortable sharing photos of themselves “modeling” clothes publicly.
You’re also right that fit is only a part of the picture, and even the terms fit and style don’t quite capture what’s really going on you really want to see what clothes are going to look like on someone who looks like you and dresses like you (same preferences for fit, style, etc). Again, hard as B2B for sure.
I’ve been working on a B2C solution in this space for a while (fitfirst.app)…all too familiar with the nuances and intricacies in this space.
Fun fact and totally tangential: if you have two clothes with the exact same measurements and material that are dyed different colors, the darker dyed version tends to feel tighter than the lighter dyed one. Has to do with how the dye feels on the skin. It’s a nuance you can’t get from a photo or rendering.
haha yeah, there's a lot of nuance about a fitting room that's hard for 1 product to solve. Our current product focus more on the styling / outfits / engagement, not claiming on the exact fit. Hopefully it brings positive value to conversion and AOV, which would be enough to justify a B2B case. We've also build an app (Style Space), but are not experts in running it.
My partner and I have been creating a database of over a thousand pant measurements that we've personally gathered over the past year or so. We've found it irritating that the only way to shop for apparel is pretty much by trial and error (fitting rooms, manually looking at size charts and hoping that they're accurate). I have a super small waist-to-hip ratio (and a super small waist) for a man, so I run into two problems
1. Usually stores don't carry the right waist size for pants I want to buy, so I can't try them on.
2. When I buy online, stuff that's in my size is usually too tight around the seat of my pants.
That's why I thought it'd be fun to create a way of browsing pants that let you see the differences between two pairs of pants so you could figure out if something is even worth trying to buy.
Over the past couple days, my partner and I put together a tool in D3 that overlays pants and compares their measurements everywhere.
Let me know what you think, and let me know if you have any technical questions about it.
I’ve started picking the bottom result of google on page ten for fun...you get some really wacky content that clearly isn’t optimized for SEO or isn’t relevant at all.
Example: last night I searched “Robin Williams bipolar” and got a page ten result that was a conspiracy theory on Taylor Swift being a psychopath.
Eh, I think I found the one you're talking about, and it still looks like a somewhat legitimate looking news site, and according to other sources still gets thousands of pageviews a day. Also, that's such a specific topic, by page 10 most of the results are just somewhat related news articles. Try searching something more general, and the results on page 10 are things that could easily be on the frontpage, probably just don't have dedicated SEO.
I want to see what the other 90% of the internet looks like.
But also, I think they should break traffic down by domains, not pages. For example, does each article on HN count as a new page?
Hey everybody. A little bit about this. I've been measuring hundreds (looks like over a thousand by now) jeans with my partner over the past year. We've become a bit obsessed with turning clothes shopping into more of a science, mostly because we've found clothes shopping incredibly opaque and frustrating.
I've taken a bunch of the measurements and other data I've collected and turned it into a fairly comprehensive write-up.
Hope you enjoy, and let me know if you have any more technical questions I couldn't cover in the post!
"""Newest body decorations. Skinny jeans with just the right flare. Low-rise. Scoop-front pockets. Sharp, multi-color stripes in a bunch of different widths for whatever is in your head. Permanent press Fortrel® polyester and cotton. $9"""
Great question! The term skinny jean has changed over time.
What I could have been more careful in defining is what a "modern skinny jean" is: it is designed to be form fitting throughout the seat and leg. That means a tapered leg opening: the knee is larger than the hem. That also means the garment measurements are smaller than your own body measurements everywhere, except possibly at the leg opening.
Lycra/spandex/elastane had been incorporated in jeans in the 60s (I checked the Sear's catalogue to verify material composition when I was researching this), but the jean silhouette of the pants they sold were closer to what we'd call a "slim fit" today. Same with denim in the early 1970's: it hugged the body, but wasn't skin tight everywhere, and often was boot cut at the leg opening.
Fiorucci was the first to add stretch to denim with the purpose of making the jeans skin tight and tapered at the leg.
Just a heads up: I'll be adding the 501's to the post soon.
I didn't even think about adding something on available sizes (which fit numbers come in short/long lengths or smaller/bigger waists). I should add that!
In the meantime, I checked to see which Levi's I've measured do come in length 36 for a size 32, and there are a handful of them:
* Levi's 505 Regular Fit
* Levi's 514 Straight Fit
* Levi's 527 Boot Cut Fit
* Levi's 541 Athletic Fit
Unfortunately there isn't too much variety, given that the 501's are also a regular seat/straight leg, but the 505/514's should fit a bit different and come in 32x36, so they might be worth a try!
Thanks for checking out the article and writing a thoughtful follow-up comment. I knew Levi's didn't own their own production, but I wasn't aware that they outsourced to tiny manufacturing operations (ie piece-work workshops) as well as conventional factories.
On the subject of manufacturing/fit discrepancies, it might be interesting for me to write a follow-up piece on my measuring process and what I learned about garment manufacturing from measuring. Here's a little preview of my process and of what I learned about Levi's specifically.
The measurements that I used to write the article are my best estimate for the intended jean specs, rather than an average across measurements taken from multiple jeans in the same size or from a sample of one jean per line. What I did was measure jeans in multiple sizes and colorways from each line. The goal was to get an idea for what Levi's grading rules are (how each pant measurement, like the thighs, changed from size-to-size), as well as how often there were deviations from the grading rules (due to manufacturing tolerance) and if there are any noticeable variations in measurements by colorway or manufacturing location.
Compared to most other brands, Levi's rarely had egregious manufacturing problems. That is, every measurement I took was within a 1" margin of error from the measurement specs I tried to reverse engineer. Moreover, out of the eight measurements I took per pant, I found that on average only one of those measurements was off-spec and even then on average it was never off by more than 1". On the other hand, brands like Goodfellow & Co from Target were way worse (I basically had to give up on some of the pant lines).
The most surprising thing I found is that Levi's does not seem to intentionally change their measurements color-by-color (so dark blue jeans have the same intended measurements as light ones). This might be an even bigger issue for perceived garment fit than having a 1" manufacturing tolerance. Dyes affect how people perceive fit because the dying process affects the feel of the garment, so on average darker clothes feel lighter than lighter clothes made from the same materials with the same measurements.
After doing all this measuring, my big takeaway about the challenges with clothing fit is that it's fundamentally a communication problem, not precision problem. Take manufacturing tolerance, for example. An inch off in some places can be a real problem, like for the waistband of jeans, but for the most part it's not too much of an issue. For example, the difference between every measurement on the leg of the Levi's Skinny and Slim jeans is 1.75". An inch difference in one part of the leg won't completely transform the fit. The real problem with how apparel is sold is that all these details, like manufacturing tolerance, are opaque and swept under the rug. If consumers better information about things like fit, they could at least more confidently make a purchase (or choose not to make one).
Anyway, that's my rant! I'll probably write a follow-up that more coherently pieces some of those points together :-)
