["python","anaconda","conda"]
Conda install and update do not work also solving environment get errors

I am using anaconda as below: (base) C:\Users\xxx>conda info active environment : base active env location : C:\Users\xxx\Documents\ANACONDA shell level : 1 user config file : C:\Users\xxx\.condarc populated config files : C:\Users\xxx\.condarc conda version : 4.7.11 conda-build version : 3.18.9 python version : 3.6.9.final.0 virtual packages : base environment : C:\Users\xxx\Documents\ANACONDA (writable) channel URLs : https://repo.anaconda.com/pkgs/main/win-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/free/win-64 https://repo.anaconda.com/pkgs/free/noarch https://repo.anaconda.com/pkgs/r/win-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/msys2/win-64 https://repo.anaconda.com/pkgs/msys2/noarch package cache : C:\Users\xxx\Documents\ANACONDA\pkgs C:\Users\xxx\.conda\pkgs C:\Users\xxx\AppData\Local\conda\conda\pkgs envs directories : C:\Users\xxx\Documents\ANACONDA\envs C:\Users\xxx\.conda\envs C:\Users\xxx\AppData\Local\conda\conda\envs platform : win-64 user-agent : conda/4.7.11 requests/2.22.0 CPython/3.6.9 Windows/10 Windows/10.0.16299 administrator : False netrc file : None offline mode : False Now I have 2 issues that stop my work. 1) I cannot use conda install for any package. It will give me the error in solving environment list this: failed with initial frozen solve. Retrying with flexible solve. then it will fail again and give message like this: Found conflicts! Looking for incompatible packages. This can take several minutes. Press CTRL-C to abort. Even after the checking for incompatible packages, it didn't give me the solution. 2) When I want to upgrade or downgrade conda by the command: conda update -n base conda or conda install conda = 4.6.11 It will give me errors again in the solving environment, and I think this is related to the first issue. Now I cannot use conda for anything, please advise and thank you!
I ran into the same problem and I couldn't find a solution, but I did find a workaround. If you create an env and activate that env and then do the install, it seems to work just fine. If you don't need a lot of libraries I would try that. Commands are: Create env conda create --name myenv Activate the env conda activate myenv