diff --git a/README.md b/README.md
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@@ -47,7 +47,7 @@ Paraphrasing @fogus from their [blog](http://blog.fogus.me/2011/09/08/10-technic
 - [The Part Time Parliament](http://research.microsoft.com/en-us/um/people/lamport/pubs/lamport-paxos.pdf) Paxos, Lamport's original Paxos paper, a bit difficult to understand, may require multiple passes
 - [Paxos Made Simple](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf), a more terse readable Paxos paper by Lamport himself. Shorter and more easier compared to the original.
 - [The Chubby Lock Service for loosely coupled distributed systems](http://static.googleusercontent.com/media/research.google.com/en//archive/chubby-osdi06.pdf) Google's lock service used for loosely coupled distributed systems. Sort of Paxos as a Service for building other distributed systems. Primary inspiration behind other Service Discovery & Coordination tools like Zookeeper, etcd, Consul etc.
-- [Paxos made live - An engineering perspective](http://research.google.com/archive/paxos_made_live.html) Google's learning while implementing systems atop of Paxos. Demonstrates various practical issues encountered while implementing a theoritical concept.
+- [Paxos made live - An engineering perspective](http://research.google.com/archive/paxos_made_live.html) Google's learning while implementing systems atop of Paxos. Demonstrates various practical issues encountered while implementing a theoretical concept.
 - [Raft Consensus Algorithm](https://raftconsensus.github.io/) An alternative to Paxos for distributed consensus, that is much simpler to understand. Do checkout an [interesting visualization of raft](http://thesecretlivesofdata.com/raft/)
 
 ### Testing, monitoring and tracing
@@ -75,7 +75,7 @@ While designing distributed systems are hard enough, testing them is even harder
 - [CMU: Distributed Systems](http://www.cs.cmu.edu/~dga/15-440/F12/syllabus.html) in Go Programming Language
 - [Software Defined Networking](https://www.coursera.org/course/sdn) , Georgia Tech.
 - [ETH Zurich: Distributed Systems](http://dcg.ethz.ch/lectures/podc_allstars/)
-- [ETH Zurich: Distributed Systems Part 2](http://dcg.ethz.ch/lectures/distsys), covers  Distributed control algorithms, communication models, fault-tolerance among other things. In particular fault tolerence issues (models, consensus, agreement) and replication issues (2PC,3PC, Paxos), which are critical in understanding distributed systems are explained in great detail.
+- [ETH Zurich: Distributed Systems Part 2](http://dcg.ethz.ch/lectures/distsys), covers  Distributed control algorithms, communication models, fault-tolerance among other things. In particular fault tolerance issues (models, consensus, agreement) and replication issues (2PC,3PC, Paxos), which are critical in understanding distributed systems are explained in great detail.
 
 ## Blogs and other reading links
 - [How we implemented consistent hashing efficiently](https://blog.ably.io/how-to-implement-consistent-hashing-efficiently-fe038d59fff2)