Wait Times and Battery Drain - MOSK: 10.03.2023

Mac OS Ken

Ken Ray

Technology

4.7 • 996 Ratings

🗓️ 3 October 2023

⏱️ 14 minutes

🔗️ Recording | iTunes | RSS

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Summary

- Evercore Notes Shorter Wait Times for iPhone 15 Pro Line in China - Report: Tests Show Faster Battery Drain After iOS 17 Installation - TIME: Nearly Two Years Later, Work at India Foxconn Plant is Still Not Great - A PSA on Monday's WEA PSA - 2023 HomePod Hits Apple's Refurbished Stores - All 2015 Apple Watch Models Now Deemed "Obsolete" - "Messi Meets America" Docuseries Hits Apple TV+ Next Week - Power what we do next for as little as $1 a month. Join the Mac OS Ken Test Kitchen at Patreon at Patreon.com/macosken - Send me an email: info@macosken.com or call (716)780-4080!

Transcript

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0:00.0	This is Mac OSKIN.
0:06.8	Wait time shorten for iPhone 15 Pro and China. Battery life shortens for older iPhones running iOS 17, and making
0:17.7	iPhone in India does not sound like fun.
0:22.0	It is Tuesday the 3rd of October, 2023. I'm Ken Ray and this is
0:28.1	news from Maco West can brought to you by yours truly and supported by people like you patrons through
0:37.6	Patreon find out more and add your support at patreon
0:43.0	dot com slash
0:45.5	mcco west can
0:48.6	something to watch that may turn into something about which analysts will worry. A piece from Seeking Alpha has evercore
0:56.2	analyst Ahmed Daryanani noting relatively short wait times for the pro end of the iPhone
1:01.3	15 line in China.
1:04.0	There's still a weight, 18 days for the iPhone 15 pro and 25 days for the iPhone 15 pro
1:11.0	max, according to the note.
1:13.7	Here in the States though, the Wade said by the analyst to still be about 35 days for either
1:18.4	pro model.
1:20.5	Does this mean weakening demand in China is Huawei getting its revenge?
1:26.0	Actually the Seeking Alpha Peace doesn't have Daryanani addressing reasons for the shorter weight in China.
1:32.0	Rather the Peace has him saying,
1:34.6	as he has said before,
1:36.8	delivery times could be a reflection of strong demand
1:39.6	or weak supply, though we suspect
1:42.2	given the variation in weight times that this data set more likely suggests
	...

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