Chart: Mountains in the BIble

This chart lesson walks through the scripture identifying the many mountains found there and how we can better understand our bible through them.
Find the outline here :
graceambassador...
Grace Ambassadors Bible Fellowship - Sunday, November 8, 2015

[@Shaz197912]

Thank you so much for this teaching. God knew i needed it and now 2023 i come across it. Gid had me in mind. God bless you and elevate you.

[@whimpypatrol5503]

See what you get for being an intellectual christian -- you reap what you sow.

[@RainhadoCanto11]

Pastor Justin, you make these messages so very exciting!
Thank you, for all this learning I am doing!

[@georgiatrimis]

this is a great video

[@whimpypatrol5503]

One complexity scientist developed a graphical model like your mountains to illustrate mathematically how proteins could have evolved into the efficient folding machines they are. Proteins are the simplest life (like) form much more so than bacteria, amoebas or living cells and have a few behaviors. One, they fold and expand. Two, when they fold they do so with such efficiency it baffels scientists. So computer scientists once thought they could build program code representing certain types of unsovable computer problems out of the molecular material proteins are made of and let such man made protiens naturally fold, as if it would do so in the most efficient way. Then all they would have to do was decode the folding pattern to get the most efficient solution of their problem. But it turns out only a relatively few proteins out of as many as the number of atoms in the universe potentially possible would fold efficiently. The number is so few it's baffling how so many exist that fold so efficiently could have evolved. Imagine a 3-D version of many mountains, peaks, hills and valleys all spread out. And imagine that the height of the graph surface represents how efficiently a certain protien will fold. Then each different protein possible is represented by a point on the graph. And the determination of where a protein is on the graph is determined by how many different changes in protein molecules it would take to evolve or change from one protein to another. So you have a landscape. And if evolution could fly over it could identify where the peaks are and pick out the most efficient proteins, but it can't. It can only here and there mutate a protein to move it a step away or so, some higher in elevation some not. (The model assumes that genetically similar proteins will fold similarly, maybe a touch better or worse). If natural selection works for this, the better folding proteins will survive better. But eventually they are going to reach a peak and be stranded since they can't evolve to a better state. However, if peaks and valleys are spread out over the entire landscape and a giant force, maybe a radiation blast, occasionally mutates proteins in a big way and, in a sense, throws some here and there way off, they would begin the process all over and eventually another effecient protein would evolve. If this worked and continued over a billion years or so, and if potentially efficient folding protein structures (peaks) were spread throughout the landscape, after a billion years you'd expect lots of different protein structures to exist like they do. (And the math actually confirms this could have been possible). But lastly, proteins are much simpler than other life and this would be a process able to find optimal solutions for only one variable, folding, and it would still take a billions years or whatever. Other life forms are so much more complicated and have so many thousands of interdependent components to be jointly optimized, it is inconceivable the same naturally occurring algorithm could evolve life as we know it. It is doubtful the same algorithm would work to cooptimize even two interdependent components.

[@kimberlyk27]

is grooms777 pastor Justin? i like to know who the person is who preaches.