anchor.diff:          N when N > ?TOO_FREQUENT_BREAKER ->
               ?V("\n\nYOYO ~w breaking the cycle of:\n  current: ~w\n  new    : ~w\n", [MyName, machi_projection:make_summary(S#ch_mgr.proj), machi_projection:make_summary(P_latest)]),
               ?REACT({c100, ?LINE, [{not_sanes_author_count, N}]}),
  -            react_to_env_C103(P_latest, S2);
  +            react_to_env_C103(P_newprop, P_latest, S2);
           N ->
              ?V("YOYO,~w,~w,~w,",[MyName, P_latest#projection_v1.epoch_number,N]),
               ?REACT({c100, ?LINE, [{not_sanes_author_count, N}]}),
  
positive.code:     ?REACT({c103, ?LINE,
              [{current_epoch, P_current#projection_v1.epoch_number},
               {none_projection_epoch, Epoch_latest}]}),
      timer:sleep(5000),                          % Let someone else clean up
      %% Reset the not_sanes count dictionary here, or else an already
      %% ?TOO_FREQUENT_BREAKER count for an author might prevent a
      %% transition from C100_inner()->C300, which can lead to infinite
  
negative.code:             react_to_env_C300(P_newprop, P_latest, S2)
      end.
  
  react_to_env_C103(#projection_v1{epoch_number=Epoch_newprop} = P_newprop,
                    #projection_v1{epoch_number=Epoch_latest,
                                   all_members=All_list,
                                   flap=Flap,
                                   members_dict=MembersDict} = P_latest,
                    #ch_mgr{name=MyName, proj=P_current}=S) ->
      #projection_v1{witnesses=Witness_list} = P_current,
      P_none0 = make_none_projection(MyName, All_list, Witness_list, MembersDict),
      P_none1 = P_none0#projection_v1{epoch_number=erlang:max(Epoch_newprop,
                                                              Epoch_latest),
                                      flap=Flap,
                                      dbg=[{none_projection,true}]},
      P_none = machi_projection:update_checksum(P_none1),
  