Pretty self-explanatory IMO, it's about appreciating nature.

Never me lol. What if your chute malfunctioned?

Ok I'll have a movie marathon this weekend. Thanks Strider!

Any other recommendations?

Saw it for the first time just before I made that post. It definitely lived up to expectations. Exceed them even...

eww... TMI Walter. Go take a cold shower bro.

Audio data compression, as distinguished from dynamic range compression, has the potential to reduce the transmission bandwidth and storage requirements of audio data. Audio compression algorithms are implemented in software as audio codecs. Lossy audio compression algorithms provide higher compression at the cost of fidelity and are used in numerous audio applications. These algorithms almost all rely on psychoacoustics to eliminate less audible or meaningful sounds, thereby reducing the space required to store or transmit them.[2] In both lossy and lossless compression, information redundancy is reduced, using methods such as coding, pattern recognition, and linear prediction to reduce the amount of information used to represent the uncompressed data. The acceptable trade-off between loss of audio quality and transmission or storage size depends upon the application. For example, one 640MB compact disc (CD) holds approximately one hour of uncompressed high fidelity music, less than 2 hours of music compressed losslessly, or 7 hours of music compressed in the MP3format at a medium bit rate. A digital sound recorder can typically store around 200 hours of clearly intelligible speech in 640MB.[14] Lossless audio compression produces a representation of digital data that decompress to an exact digital duplicate of the original audio stream, unlike playback from lossy compression techniques such as Vorbis and MP3. Compression ratios are around 50–60% of original size,[15] which is similar to those for generic lossless data compression. Lossless compression is unable to attain high compression ratios due to the complexity of waveforms and the rapid changes in sound forms. Codecs like FLAC, Shorten and TTA use linear prediction to estimate the spectrum of the signal. Many of these algorithms use convolution with the filter [-1 1] to slightly whiten or flatten the spectrum, thereby allowing traditional lossless compression to work more efficiently. The process is reversed upon decompression. When audio files are to be processed, either by further compression or for editing, it is desirable to work from an unchanged original (uncompressed or losslessly compressed). Processing of a lossily compressed file for some purpose usually produces a final result inferior to the creation of the same compressed file from an uncompressed original. In addition to sound editing or mixing, lossless audio compression is often used for archival storage, or as master copies. A number of lossless audio compression formats exist. Shorten was an early lossless format. Newer ones include Free Lossless Audio Codec (FLAC), Apple's Apple Lossless (ALAC), MPEG-4 ALS, Microsoft's Windows Media Audio 9 Lossless (WMA Lossless), Monkey's Audio, TTA, and WavPack. See list of lossless codecs for a complete listing. Some audio formats feature a combination of a lossy format and a lossless correction; this allows stripping the correction to easily obtain a lossy file. Such formats include MPEG-4 SLS (Scalable to Lossless), WavPack, and OptimFROG DualStream. Lossy audio compression Lossy audio compression is used in a wide range of applications. In addition to the direct applications (mp3 players or computers), digitally compressed audio streams are used in most video DVDs, digital television, streaming media on theinternet, satellite and cable radio, and increasingly in terrestrial radio broadcasts. Lossy compression typically achieves far greater compression than lossless compression (data of 5 percent to 20 percent of the original stream, rather than 50 percent to 60 percent), by discarding less-critical data.[16] The innovation of lossy audio compression was to use psychoacoustics to recognize that not all data in an audio stream can be perceived by the human auditory system. Most lossy compression reduces perceptual redundancy by first identifying perceptually irrelevant sounds, that is, sounds that are very hard to hear. Typical examples include high frequencies or sounds that occur at the same time as louder sounds. Those sounds are coded with decreased accuracy or not at all. Due to the nature of lossy algorithms, audio quality suffers when a file is decompressed and recompressed (digital generation loss). This makes lossy compression unsuitable for storing the intermediate results in professional audio engineering applications, such as sound editing and multitrack recording. However, they are very popular with end users (particularly MP3) as a megabyte can store about a minute's worth of music at adequate quality. https://en.wikipedia.org/wiki/Data_compression#Audio https://en.wikipedia.org/wiki/Lossless_compression#Audio https://en.wikipedia.org/wiki/Lossy_compression#Audio

Are there really people out there listening to 96kbps mp3's?

Les Claypool's Fancy Trio 10/12/2007 Atlanta,GA Echo Project http://toasterland.com/setlists/jplayer/index.php?name=2007-10-12&band=100

^Good name.

Frizzle Fry by Primus (CD, Jun-1997, Caroline Distribution) Non-remastered version

The Rolling Stones Reveal Gorgeous, Never-Before-Heard Acoustic Version of “Wild Horses” http://www.slate.com/blogs/browbeat/2015/04/02/rolling_stones_wild_horses_acoustic_version_from_sticky_fingers_reissue.html

^18:44-21:14 ^My favorite.

^Not a Beatles original, but woulda been cool in a medley.

THE 100 MOST UNFORTUNATE NAMES IN HUMAN HISTORY http://www.worldwideinterweb.com/item/5736-the-100-most-unfortunate-names-in-human-history.html

lmao. There's a bunch of good ones out there.