anchor.diff:                          flap_counts_last=FlapCountsLast,
                           runenv=RunEnv1}=S) ->
       UniqueProposalSummaries = make_unique_proposal_summaries(H, P_newprop),
  -    UniqueProposalSummaries_i = make_unique_proposal_summaries(
  -                                  H_i, inner_projection_or_self(P_newprop)),
  +    MyUniquePropCount = length(UniqueProposalSummaries),
   
       {_WhateverUnanimous, BestP, Props, _S} =
           cl_read_latest_projection(private, S),
  
positive.code:     AllFlapCounts_with_my_new =
          [{MyName, NewFlapStart}|lists:keydelete(MyName, 1, AllFlapCounts)],
      FlappingI = make_flapping_i(NewFlapStart, NewFlapCount, AllHosed,
                                  AllFlapCounts_with_my_new),
      %% NOTE: Just because we increment flaps here, there's no correlation
      %%       to successful public proj store writes!  For example,
      %%       if we loop through states C2xx a few times, we would incr
  
negative.code:                      {current_epoch, P_current#projection_v1.epoch_number},
                       {latest_unanimous_p, LatestUnanimousP}]}),
  
              react_to_env_B10(Retries, P_newprop, P_latest, LatestUnanimousP,
                               Rank_newprop, Rank_latest, S);
  
  