The Silicon Valley Suicides | The Atlantic

The Silicon Valley Suicides; Hanna Rosin; In The Atlantic; 2015-11-16; commentariat.
Teaser: Why are so many kids with bright prospects killing themselves in Palo Alto?

tl;dr → 8900 words; big-name writer breezes in from New York, stays with friends in San Mateo; recites the material, does some interviews, off-site interview with a survivor of the milieu. Eats, shoots, leaves. No new information.  Graphic descriptions of street-level Caltrain for sound & mood; graphic expandable pictures of the grieving parents. Tour of the bestsellers. Not helpful. Generalized schadenfreude..

Context

Substantially “the same as”

Why Are Palo Alto’s Kids Killing Themselves?; Diana Kapp; In San Francisco Magazine; 2015-05-22; separately noted.
Teaser: A panicked town struggles with a wave of suicides.

Mentions

  • U.S. News & World Report, university ranking scheme.
  • STEM schools
  • “a culture of affluence,” Suniya Luthar.
  • unethical Tiger Mothers.
  • Metaphorical devices
    • Panopticon, Jeremy Bentham,
      due to Taylor Chiu (attributed below)
    • Automaton, Henri Maillardet, 1800,
      due to Hanna Rosen, an artistic & intellectual flourish.
  • The children can no longer have fun, can no longer play.

Principals

  • Kathleen Blanchard.
  • Taylor Chiu, a former Paly student, San Francisco, an interview, a testimonial.
  • Ken Dauber, a school-board member, PAUSD; software engineer, Google
  • Kim Diorio, principal, Palo Alto High School.
  • Denise Herrmann, principal, Gunn High School.
  • Glenn “Max” McGee, Superintendent PAUSD
  • Chloe Sorensen, sophmore, Gunn, a survey
  • Carolyn Walworth, 2014, was a junior, Paly student representative to the PAUSD School Board.

Cited

  • Avi Assor, professor, psychology, Ben-Gurion University, IL.
    Something about the effect of reward systems for adolescents.
  • Frank Bruni. Where You Go Is Not Who You’ll Be: An Antidote to the College Admissions Mania
  • William Deresiewicz, Excellent Sheep: The Miseducation of the American Elite and the Way to a Meaningful Life; also The Atlantic
  • David Lester, professor, psychology, Stockton University, NJ
    cited for statements in a podcast(!!!)
  • Madeline Levine; The Price of Privilege
  • Julie Lythcott-Haims; How to Raise an Adult: Break Free of the Overparenting Trap and Prepare Your Kid for Success
  • Suniya Luthar, work product unclear; circa “late” 1990s.
    Concept: “a culture of affluence.”

Who

As cited, but not interviewed.

  • Suniya Luthar, assistant professor, psychiatry, Yale Univeresity, circa “late” 1990s
  • Julie Lythcott-Haims, ex-dean of freshman life (or such), Stanford; a parent of 2.
  • Roni Gillenson, Gunn mental-health program since 2006.
  • William Deresiewicz; contributor, The Atlantic; ex-professor, Yale.
  • Madeline Levine; a child psychologist who practices in the Bay Area.
    Unclear if she was contacted or her published works are merely being cited.

Quoted

A bit murky who was actually interviewed & who was cited from topical but wholly unrelated written or recorded oral recitations.

  • Carolyn Walworth, senior, Paly student representative to the PAUSD board.
  • Ken Dauber, a school-board member, PAUSD.
  • Taylor Chiu, a former Paly student, San Francisco, a testimonial.
  • Kathleen Blanchard.
  • Kim Diorio, principal, Palo Alto High School.

Previously

  • The Overprotected Kid; Hanna Rosin; In The Atlantic; 2014-04.
    Teaser: A preoccupation with safety has stripped childhood of independence, risk taking, and discovery—without making it safer. A new kind of playground points to a better solution.

Response

Palo Alto officials brace for story in The Atlantic magazine; Elena Kadvany; In Palo Alto Online; 2015-11-16.
Teaser: Piece on youth suicides to publish online Tuesday, Nov. 17

Who

  • Denise Herrmann, Principal, Gunn
  • Kim Diorio, Principal, Paly
  • Brenda Carrillo, Student Services Director, Paly (or Gunn?)
  • Max McGee, Superintendent, Palo Alto Unified School District
  • James Keene, City Manager, City of Palo Alto
  • Claudia Keith, Chief Communications Officer, City of Palo Alto
  • Shashank Joshi, child and adolescent psychiatrist, Stanford.
  • Steven Adelsheim, child and adolescent psychiatrist, Stanford.
  • Meg Durbin, pediatric and internal medicine, Palo Alto Medical Foundation (PAMF).

Via: backfill.

The Cloud Architect: A Necessary Evil? | DZone

The Cloud Architect: A Necessary Evil? Thomas Cozzolino; In DZone; 2015-10-24.

tl;dr → yes.  We are all cloud netizens now. On rented computers, multitenant service-bureau SaaS is the future, now!

Mentions

<buzzword level=”high”>

  • Variants
    • Application Architects
    • Data Architects
    • Enterprise Architects (EA)
    • Infrastructure Architects
    • Technical Architects
    • Solution(s) Architect
    • $X Architect for any value $X
    • etc.
  • Cloud Architect
  • Competencies
    • software design
    • integration patterns
    • security perimeters
    • Software Development Life Cycle (SLDC)
  • Frameworks (Processes)
  • Line of Business (LOB)
  • <buzzzz>Agile</buzzzz>
  • Software as a Service (SaaS)
  • Service-Oriented Architecture (SOA)
  • Bounded Context
  • Team (Organization)
    • Scrum Teams
    • Agile Teams
    • Feature Teams
    • Component Teams
  • Minimum Viable Product (MVP)
  • Patterns contra Performance
  • Portfolio
    • Application
    • Capabilities
  • Customer Resource Management (CRM)
  • Microservices
  • Representational State Transfer (REST)
  • Enterprise Resource Planning (ERP)
  • OData
    • A scheme for doing REST on (some) data
      like ODBC, JDBC, but different, more & better.
    • Since 2007.
    • OData; In Jimi Wales Wiki
    • odata.org

</buzzword>

Referenced

Via: backfill.

Tech and Media Outlook 2016 | Activate

Tech and Media Outlook 2015; Activate at WSJD Live Conference; 2015-10-20; 137 slides; landing.


slides


Mentions

  • boosterism: <quote>CAGR based on values prior to rounding.</quote>, slide 2.

Listicle

Substantially, the table of contents.

  1. The average american spends more time on tech & media than work or sleep
  2. Messaging will blow past social networks as the dominant media activity
  3. The next big winners in streaming audio are already (quietly) here
  4. The long-awaited cord cutting moment is still far off
  5. There is a “cable killer” coming, but it won’t look like you expect
  6. E-sports & wagering will change the game in gaming
  7. Good luck getting rich in the app store!
  8. These companies are grabbing all the money in consumer tech & media
  9. One simple way to predict what tech & media players will do next to compete

1. Attention

  • The product is attention, the purpose of media is the capturing of attention.
  • Minutes-per-Visitor per Month
    • Pandora → 1,200 min/month
    • Facebook → 1,200 min/month
    • Google → 700 min/month
    • Netflix → 500 min/month
    • YouTube → 400 min/month
    • All Those Messaging Apps → 300 min/month
      • Twitch
      • Kik
      • Snapchat
      • Something else with a ping cloud smudge logo
    • Yahoo → 300 min/month
    • Instagram → 200 min/month
    • The Linkbaiters, Old-Line East Coast Media, eCommerce → 0 min/month (rounding error)
  • Bubble economics, “billion dollar businesses” capturing seconds-per-month
    • HelloFresh
    • Vice
    • ZocDoc
    • BuzzFeed
    • Shazam
    • Vox
  • Categories
    • Video
    • Audio
    • Social Media
    • Gaming (actual games, not <euphemism>gambling</euphemism>)
  • Something about multitasking.

Claims

  • Because of overlaps, there are 31:28 hours:minutes of manageable attention per day.
  • Half is spent on media-type activities.
  • Selectivity is high on MAU basis
    • 79% of time on 5 apps out of 27 available.
    • 44% on 5 websites out of 96 available.
    • 100% on 18 channels out of 194 available.

2. Messaging

  • Cultures
    • WhatsApp
    • Facebook Messenger
    • WeChat
    • Instagram
    • Snapchat
    • Pinterest
  • Categories
    • Social Messaging
    • Social Network
    • Hybrid: Social Messaging & Social Network (either, or both)
  • Minutes-per-Week per Month
    • Facebook → 300 min/week
    • Tumblr → 230 min/week
    • Talk → 220 min/week
    • WhatsApp → 175 min/week
    • Pinterest → 140 min/week
    • Instagram → 140 min/week
    • Kik → 80 min/week
    • Something with a purple phone icon → 80 min/week
    • WeChat → 80 min/week
    • LINE → 30 min/week
    • Something with a blue chat bubble and an horizontal lightning bolt → 10 min/week.
  • Messaging competes with telecom-served Short Message System (SMS)
    • Driven by pricing: 63x more expensive abroad than US.
    • Very expensive in the U.S. (for what one gets).
    • Messaging apps are flat-fee or $0.
  • Messaging apps turn into a “platform”
    Features

    • Business storefronts (bot-based businesses)
    • Chat (of course)
    • Channels (television-style bespoke content)
    • Games
    • Music
    • Local commerce
    • Payments
    • Search
    • Taxi
    • Television (replaying broadcast television)
    • Virtual Assistant
  • Revenue Models, slide 34
    • Ads
    • Stickers
    • Games
    • Taxi
    • Payments
    • App Store
    • Music
    • TV
    • Subscription Fees
    • eCommerce
    • Search

Category

In descending order of MAU, slide 19

  • WhatsApp
  • Facebook Messenger
  • WeChat
  • QQ Mobile
  • Gchat
  • iMessage
  • Viber
  • LINE
  • Snapchat
  • Kik
  • Telegram
  • Tango
  • KakaoTalk
  • Hike
  • Zalo
  • Path Talk
  • FireChat
  • YikYak
  • SOMA
  • Jott
  • Nimbuzz
  • Microsoft Send
  • Vurb
  • Zolo

In some order, slides 20-30+

  • LINE
  • WeChat
  • Facebook Messenger
  • WhatsApp
  • Snapchat
  • Vurb
  • Pockettour
  • WeBank
  • Jobot
  • digit
  • Magic
  • Assist
  • Slack

Claims

  • A Buullion new Users by 2018
  • 4B Internet Users (out of ~8B on Earth).
  • Nearly all are abroad, and in “developing” markets.

3. Streaming (Audio)

  • 4 hours/day US for 13+
  • It’s a teen/young-peeple thing:
    • 13-17 → 55% streaming
    • 55+ → 6% streaming
  • Experience is bad
    <quote>inferior user experiences leave engagement lagging</quote>
  • Revenue Models
    • Advertising
    • Subscriptions
  • RedTube (YouTube Red)
  • Only 10% (more) consumers are open to pay for streaming subscriptions
    original research, Activate, panel N=? (they asked around the office?)
  • Podcasts are a thing.
    • demographics → upscale, young, educated
    • format has plenty of room for advertisement load.

Categories

  • Terrestrial broadcast (non-digital)
  • Satellite Radio
  • Streaming
  • Downloads
  • Television (Music Television)
  • Other

Instances

  • A cast of thousands
  • Enumerated on Slide 37.

Also, slide 41

  • Pandora
  • iHeart RADIO

In order of reach, descending; slide 42.

  • YouTube
  • Pandora
  • Spotify
  • Vevo
  • Hlu
  • MTV
  • VH-1
  • Yahoo! Radio
  • Rhapsody
  • Slacker Radio
  • Apple Music

In order of decreasing library size, slide 46.

  • YouTube
  • SoundCloud
  • Spotify
  • Apple Music
  • Pandora

Organized by curation type (human vs algorithm), slide 48, 49.

  • Infinite Tracks
  • Hype Machine
  • Pitchfork
  • SoundCloud
  • Apple Music
  • Google Music
  • Spotify
  • last.fm
  • Pandora
  • Shazam
  • imeem
  • Musicmatch
  • Urge
  • Ping
  • Grooveshark
  • Slacker Radio
  • Sonos

Claims

  • Four Buullion USD, now, US.
  • Ten Buullion USD, globally, 2020.
  • Audio is a multitasking activity (counts double, paired with another activity).

4. Cord Cutting

  • Over the Top (OTT)
    • HBO Now
    • SHO
  • TV Everywhere
  • Binge watching
    • Millennial → 83%
    • Generation X → 74$
    • Boomer → 56%
  • Big Screen Television
    is enjoyed by all ages(!); but Boomers like it more than Millennials
    <ahem>Seems more like Boomers (who are richer & own houses) own more big screen TVs.</ahem>
  • Two-box (four quadrant) model of consumer behavior on video
    • Linear Appointment Viewing = Long Form, High Production Cost & Live.
    • Social Networking Video = Short Form, Low Production Cost & Live
    • Video On-Demand = Long Form, High Production Cost & Recorded
    • Studio-Generated Content = Short Form, Low Production Value & Recorded.

Theses

  • The Future of TV is “Apps”
    • But that is independent of cord cutting
    • But that won’t decide how payment is attributed.
  • The Pay TV transition is “different”
    • not a technology issue
    • an experience issue
    • an access (licensing) issue
Reasoning
  • Users →still hooked on traditional TV
    (whatever this means; redundant with the other reasons)
  • Content → still licensed to pay TV (e.g. sports); not availabl in digital
  • Pricing → digital TV is still expensive
    • Pay TV bundles at low clst (though sell crap in with the desirable)all)
    • Digital TV a la carte is very expensive in aggregate
  • Experience → traditional TV wins
    • traditional is “simple”; & “reliable”
    • digital is “complex” and “unreliable”

Claims

  • (Linear) Television is 72% of all viewing
  • Viewing time is 6h/day, monthly, 2012-2015E
  • $185B/year US
    • $110B Aubscriptions (cable, add-on services)
    • $75B Advertising (of any kind)
  • Have hit “Peak Cable”

5. The Cable Killer (is X)

6. E-Sports & Gambling

7. All App Stores Are Closed

8. The Winner Take All Market Dynamics

Sources

As cited

  • PwC, IFPI, eMarketer, IBIS, SuperData, NewZoo, IBIS.
  • Bureau of Labor Statistics, The Telegraph, Edison Research, We Are Social, eMarketer, Nielsen, National Sleep Foundation, Deloitte, SNL Kagan, Sandvine, Ipsos, comScore, Global Web Index, OECD.
  • Nielsen, comScore, Ars Technica, TechCrunch, Internetlivestats, Digitalsmiths.
  • Edison, We Are Social, eMarketer, Nielsen, Deloitte, SNL Kagan, Sandvine, Ipsos, comScore, Global Web Index, Pew Research Center, Flurry Insights, Informate, NetMarketShare, Statcounter.
  • Edison, eMarketer, Nielsen, Sandvine, US Media Consulting, Cisco, Experientia, Media UK, Global Web Index, Secom, Ofcom, GroupM.
  • Google, Microsoft, Aldebaran, Disney / New York Times.
  •  Business Insider, Fortune, Mashable, Instagram, AppAnnie, AdWeek, Quartz, Yahoo Finance, Experian, TechCrunch, Forbes, Tech in Asia, eMarketer, Compete,
  • GlobalWebIndex, eMarketer, ITO.
  • AppAnnie, AdWeek, Quartz, Yahoo Finance, Experian, TechCrunch, Forbes.
  • AppAnnie, AdWeek, Quartz, Yahoo Finance, Experian, TechCrunch, Forbes, Tech in Asia, VentureBeat, Kakao, LINE, Viber.
  • Gallup, Twilio, U.S. Census Bureau, Forbes, Colombia Reports, World Bank.
  • GlobalWebIndex, Tech in Asia.
  • AdWeek, Quartz, Yahoo Finance.
  • LINE.com
  • LINE Payment map, Twilio, U.S. Census Bureau, Forbes, Gallup, Colombia Reports, nations.org.
  • GlobalWebIndex, Facebook Messenger App, facebook.com.
  • Pew Research, Consumer Intelligence Research Partners, Apple.
  • Snapchat.com, Re/Code, The Information.
  • TechCrunch, vurb.com, CNBC.
  • Fortune, WSJ, Skift, TechCrunch,
  • angel.co, AdWeek, Quartz, Yahoo Finance.
  • slack.com, VentureBeat, TechCrunch.
  • Apple App Store, Google Play.
  • Nomura, Andreessen Horowitz, Forbes, TechInAsia, The Economist.
  • Edison Research / Triton Digital.
  • Recording Industry Association of America, PwC, Radio Advertising Bureau, Ofcom.
  • comScore, Nielsen/Arbitron, Flurry.
  • U.S. Census, Edison Research.
  • SNL Kagan, SESAC.
  • Spotify, Pandora.
  • Apple, SoundCloud, Spotify, Pandora,
  • IFPI.
  • Pew Research, Edison Research
  • Midroll, IAB, US Census, Edison Research,
  • Marketing.science, New York Magazine, Current, Ad Age,
  • Digitalsmiths, eMarketer, GfK, Sandvine, Nielsen, TDG,
  • BIA/Kelsey, Digital TV Research, eMarketer, Google, Hulu, Netflix, PWC, SNL
  • Kagan, Statista Digital Market Outlook, TDG.
  • Leichtman Research Group, U.S. Census Bureau.
  • CDC, CTIA, FCC, Gartner, Interviews, SNL Kagan.
  • U.S. Census, TDG Research, Leichtman Research Group.
  • Digitalsmiths, eMarketer, GfK, Sandvine, Nielsen, TDG,
  • Nielsen’s 2015 Total Audience Report and 2011 Cross-Platform Report, WSJ, Financial Times, The Guardian, Automated
  • Insights.
  • Conviva, Deloitte.
  • Deloitte, Ericsson ConsumerLab, Nielsen.
  • ComScore, Deloitte, Verizon Digital Media Services.
  • HBO, Nielsen, Showtime.

How Useful Is Christensen’s Theory Of Disruptive Innovation? | Roundup

tl;dr → it is wrong; Clayton Christensen’s theory of Disruptive innovation is

  • not explanatory
  • not a causal path
  • merely a warning to others

Everyone is covering the paywalled article.

Original Sources

  • Andrew A. King (Dartmouth), Baljir Baatartogtokh; “How Useful Is the Clayton Christensen’s Theory of Disruptive Innovation?”; In MIT Sloan Management Review; Fall; 2015-09; paywall.

Mentions

  • Disruption
  • Innovation
  • <quote>The theory of disruptive innovation provides a generally useful warning about managerial myopia. Many of our experts noted examples of managers who overlooked or misunderstood the importance of an emerging threat…. the theory of disruptive innovation provides a useful reminder of the importance of testing assumptions, seeking outside information, and other means of reducing myopic thinking.</quote>, attributed to King & Baatartogtokh.
  • <quote>The authors do not consider the possibility that the incumbent firms had a particular way of managing—inward-looking hierarchical bureaucracy—that made them prone to fail at innovation. The firms were not merely accidental victims of the law of averages. Their ability to innovate was crippled by their own management practices aimed at preserving the status quo. Given their advantages as incumbents, they could and should have had more success if they had been practicing management more suited to innovation.</quote>, attributed to Steve Denning (Forbes)
  • Incubents choose to die 90% of the time
  • Incumbents choose to “innovate” 9% of the time.
  • Method
    • Canonicalize history to cases.
    • Analyze canonical cases
    • Quantify
    • Conclude.
  • MindMatters; some survey

Referenced

  • The Disruption Machine: What the gospel of innovation gets wrong; Jill Lepore; In The New Yorker; 2014-06-23; previously filled.
  • Clayton Christiansen
    • The Innovator’s Dilemma
    • The Innovator’s Solution
    • Key Concepts
  • Chunka Mui, Paul B. Carroll; The New Killer Apps; 2013.
  • Some Reportage; Harvard Business School 2013
    tl;dr → America can’t compete; is losing the ability to compete
  • Michael Porter, Jan Rivkin, Rosabeth Moss Kanter; Rebuttal & Analysis of ‘Some Reportae’ ; Harvard Business School.
    tl;dr → management excellence is excellence; everyone else is failing; this is a strength.  The strength is <quote>Apparently it’s the limited challenge of making the quarterly numbers with the existing engineering skills, product designs, and production facilities.</quote>, attributed to Steve Denning (Forbes).
  • Eric Schmidt, Jonathan Rosenberg; How Google Works; 2014.

Via: backfill.