From the monthly archives:

October 2009

The Evening Collection Vol 1

Thursday | October 29, 2009

As you may know, I prefer my music mixed. To me, it adds to the experience. It’s like a musical prix fixe, if you will. I’ve done a couple of mixes so far, but decided to get a little more ambitious with this one.

Download all 4 sets as a zip archive.

The idea behind this one was to build four different hour long mixes that would correspond to what I’d want to hear during different stages of an evening.

01 bar

01 bar: old school beer drinkin’ jams

  1. Eric B. & Rakim - Juice (Know The Ledge) [MCA]
  2. Ice-T - New Jack Hustler (Nino’s Theme) [Sire]
  3. Big Daddy Kane - Set It Off [Cold Chillin']
  4. Rob Base & D.J. E-Z Rock - Joy and Pain [BMG]
  5. Salt ‘N’ Pepa - Push It [Polygram]
  6. Eric B. & Rakim - Follow The Leader [MCA]
  7. Big Daddy Kane - Raw [Warner Bros]
  8. Eric B. & Rakim - Paid In Full (The Coldcut Remix) [Fourth & Broadway]
  9. PM Dawn - Set Adrift On Memory Bliss [Gee Street]
  10. EPMD - Strictly Business [Fresh]
  11. Del Tha Funkee Homosapien - Mistadobalina [Elektra]
  12. Black Sheep - The Choice Is Yours [Mercury]
  13. N.W.A. - Straight Outta Compton [Ruthless/Priority]
  14. L.L. Cool J - Mama Said Knock You Out [Def Jam]
  15. Montell Jordan - This Is How We Do It [Def Jam]
  16. Gang Starr - Who’s Gonna Take The Weight [Cool Tempo]
  17. Nice & Smooth - Sometimes I Rhyme Slow [Rush Associated]
  18. Lake Trout - Sounds from Below [SNS]

02 dancefloor

02 dancefloor: breaks into blissed out house

  1. Sia - Breathe Me [Caroline/Astralwerks]
  2. Future Sound of London - Papau New Guinea [Jumpin' & Pumpin']
  3. DJ WHO - Shitty Samples on Acid [Defective]
  4. DJ Big Red - Weed on Friday [Baltimore Breakbeat]
  5. DJ WHO - In D’Faze (Street Knowledge Mix) [Shaken Not Stirred]
  6. Armand Van Helden featuring Team Facelift - Shake That Ass (Original Mix) [Southern Fried]
  7. Major Lazer featuring VYBZ Kartel - Pod de floor [Downtown]
  8. Kaskade - Sweet Love [Om]
  9. Miguel Mix - Days of Color [Naked Music]
  10. Kaskade - Everything (Big Room Mix) [Om]
  11. Deep Dish - Say Hello (Extended Mix) [Deep Dish]
  12. Armand Van Helden featuring Roland Clark - Flowerz [FFRR]
  13. Eurythmics - Here Comes the Rain Again (Bay City Beat Mix) [Art of Mix]
  14. Jungle Brothers - I’ll House You [Warner Black]

03 afterhours

03 afterhours: dirty, sexy, and deep. time to get down.

  1. Kings of Tomorrow - Rain [Defected]
  2. Kerry Chandler - Back To The Raw [Deeply Rooted House]
  3. Funky Green Dogs - Fired Up! (Album Mix) [Twisted America]
  4. Liberty City - Some Lovin’ (Murk Mix) [Murk]
  5. Coral Way Chiefs - Release Myself [Murk]
  6. Liberty City - If You Really Love Someone (Original Mix) [Murk]
  7. The Fog - Been a Long Time (Original Club Mix) [Downtown]
  8. Boris Dlugosch - Keep Pushin’ (Murk Monster Mix) [Manifesto]
  9. Pete Moss - R U Serious [Worship]
  10. Boris Dlugosch - Hold Your Head Up High (Julian Jonah’s Bad Boy Mix) [Realtime]
  11. Sneaker Pimps - Spin Spin Sugar (Armand’s Dark Garage Mix) [Virgin America]
  12. The S.O.U.L. S.Y.S.T.E.M.- It’s Gonna Be a Lovely Day (Dub House Mix) [BMG Victor]
  13. Hardrive - Deep Inside (Original Mix) [UMM]
  14. Funky Green Dogs - Reach for Me (Murk Mix) [Murk]
  15. Miguel Migs - Petalpushing [NRK]
  16. Steve Winwood - The Finer Things [Island]

04 chill

04 chill: a melange of eclectic downtempo tracks for comtemplating just about anything.

  1. Thievery Corporation - 2001 Spliff Odyssey [ESL]
  2. Depeche Mode - Useless (The Kruder & Dorfmeister Session) [Reprise/Mute]
  3. Vanessa Daou - Two to Tango [MCA]
  4. Massive Attack - Hymn of the Big Wheel [Virgin]
  5. Pink Floyd - Welcome to the Machine [Capitol]
  6. Massive Attack - Inertia Creeps [Virgin]
  7. The KLF - Wichita Lineman Was a Song I Once Heard [TVT]
  8. Lamb - Gabriel [Koch]
  9. Depeche Mode - Leave in Silence [Reprise/Mute]
  10. Pink Floyd - Mother [Capitol]
  11. Dave Matthews Band - Christmas Song [Bama Rags]

Enjoy!

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eMarketer gave me a shout out! Guess my science degrees have come in handy. ;-)

Wednesday | October 21, 2009

I read an article from eMarketer regarding smartphone usage.  They seemed to be drawing conclusions about their data that were subsubstantiated by their raw data.  From my science days, it was beaten into me that two numbers are not different unless they are statistically significant from each other and there are varying degree of statistical significance.  Here is a quick cut and paste from Wikipedia:

In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. The phrase test of significance was coined by Ronald Fisher.

The use of the word significance in statistics is different from the standard one, which suggests that something is important or meaningful. For example, a study that included tens of thousands of participants might be able to say with very great confidence that people of one race are more intelligent than people of another race by 1/20th of an IQ point. This result would be statistically significant, but the difference is small enough to be utterly unimportant. Many researchers urge that tests of significance should always be accompanied by effect size statistics, which approximate the size and thus the practical importance of the difference.

The amount of evidence required to accept that an event is unlikely to have arisen by chance is known as the significance level or critical p-value: in traditional Fisherian statistical hypothesis testing, the p-value is the probability conditional on the null hypothesis of the observed data or more extreme data. If the obtained p-value is small then it can be said either the null hypothesis is false or an unusual event has occurred. It is worth stressing that p-values do not have any repeat sampling interpretation.

An alternative statistical hypothesis testing framework is the Neyman-Pearson frequentist school which requires that both a null and an alternative hypothesis to be defined and investigates the repeat sampling properties of the procedure i.e. the probability that a decision to reject the null hypothesis will be made when it is in fact true and should not have been rejected: a “false positive” or Type I error and the probability that a decision will be made to accept the null hypothesis when it is false Type II error.

More typically, the significance level of a test is such that the probability of mistakenly rejecting the null hypothesis is no more than the stated probability. This allows the test to be performed using non-significant statistics which has the advantage of reducing the computational burden while wasting some information.

It is worth stressing that Fisherian p-values are not Neyman-Pearson Type I errors. This confusion is unfortunately propagated by many statistics textbooks.

So when I saw the data, I asked about this.

And interestingly, they actually used my tweet in one of their articles.  Cool!

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